Note: Descriptions are shown in the official language in which they were submitted.
CA 02953713 2017-01-04
METHOD AND SYSTEM FOR SAMPLING AND ANALYZING ORGANIC
MATERIAL
BACKGROUND OF THE INVENTION
In the agriculture industry, agronomists often have to establish and follow an
agro-environmental fertilization plan when cultivating a field. Such a plan
determines the spreading limits for fertilizers for a given growing season. In
order
to best determine the fertilization needs of a particular area of land, it is
often
necessary to analyze soil samples in order to measure pH, and the
concentration
of several minerals, such as potassium, phosphorus, magnesium, aluminum and
calcium, among others.
Current methods for analyzing samples involve four main steps: (1) collecting
a
soil sample; (2) transporting the sample to a laboratory and preparing it for
analysis; (3) dissolving the sample chemically; and (4) analyzing the sample
using methods such as Inductively Coupled Plasma Atomic Emission
Spectroscopy (ICP-OES) or Flame Atomic Absorption Spectrometry (FAAS).
These methods involve many different physical and chemical operations, both
when preparing and analyzing samples. For example, many samples must be
collected from several locations and prepared for transport to a lab. Next,
the
samples are subject to a laborious analyzing process involving drying,
grinding,
sieving, extracting and filtering.
Existing methods are both time consuming and expensive. For example, these
methods require large individual samples (approximately 500g) from various
parts of a field which must each be transported to a lab. Once at the lab,
analyzing the soil may require several different tests in order to analyze
different
characteristics of the soil. These tests can take a significant amount of
time,
making the turnaround time relatively slow.
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In existing methods, there is also a significant risk that samples can become
contaminated and/or confused. For example, identification information is often
hand-written on sample containers, making identification difficult when the
identification information contains mistakably similar characters, or when it
is
written with poor handwriting. What's more, in order to carry out a test, a
portion
of a soil sample must be transferred into a separate test container, creating
an
opportunity to introduce contaminants or lose track of a sample.
US Patent 8,286,857 describes a soil sample tracking system and method in
which soil sample containers are provided with unique identifiers. The
containers
are used to temporarily store the soil samples until they are analyzed. The
soil
samples must thus be removed from their containers for analysis, and thus
there
is still a risk of mixing or contaminating the different soil samples.
These shortcomings have a significant impact on the use of such methods in
practice. For example, due to the costs involved, many agronomists generally
limit sampling to a single sample per field. This is not ideal, as it does not
provide
sufficiently fine-grained information about the soil characteristics of a
field, and
thus limits the effectiveness of an agro-environmental fertilization plan when
it is
based on that information.
Some improvements have already been made to the step of analyzing a sample
in the laboratory. For example, soil can be analyzed using a method known as
Laser Induced Breakdown Spectroscopy (LIBS), such as the method disclosed in
US patent 7,692,789. While this technology is an improvement in the lab, there
is yet to be a practical method for using LIBS technology in the context of
gathering several samples of soil from a field and managing data from the
analysis of those samples.
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There is therefore a need for an improved method and system which reduces
costs and simplifies the overall process of sampling and analyzing soil by
leveraging LIBS technology.
.. SUMMARY OF THE INVENTION
It is therefore an object of the present invention to provide a method and
system
for improving the sampling and analysis of organic material, including the
sampling and analysis of soil in the context of the agriculture industry.
Organic
material, or organic matter, encompasses soil, fertilizer, manure, leaves or
any
other carbon-based compounds found in natural, engineered, terrestrial and
aquatic environments.
According to an aspect, a method for sampling and analyzing organic material
is
provided. The method includes the steps of: providing a sample container
having
porous sidewalls and a unique identifier; associating, on a database, a
geographic position with the unique identifier, the geographic position
corresponding to a location where an organic material sample was taken;
receiving the sample container with the organic material sample contained
therein; compacting the organic material sample while inside the sample
container; analyzing the organic material sample while inside the sample
container using a Laser Induced Breakdown Spectroscopy (LIBS) system and
generating analysis results; and associating the analysis results of the
organic
material sample with the unique identifier of the sample container.
In an embodiment, the organic material sample is dried while inside the sample
container below a humidity level of approximately 10%.
In an embodiment, drying the organic material sample includes heating the
organic material sample inside an oven at a temperature between approximately
30 C and 45 C for a period of between approximately 2 hours and 48 hours.
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In an embodiment, compacting the organic material sample comprises
hydraulically pressing the organic material sample with a weight of between
approximately 15 tonnes and 30 tonnes.
In an embodiment, the organic material sample contained in the sample
container is between approximately 5 grams and 150 grams.
In an embodiment, a plurality of organic material samples is analyzed
sequentially in the LIBS system as part of a batch.
In an embodiment, analyzing the organic material sample is performed in less
than 60 seconds.
In an embodiment, the batch includes at least one control sample for
calibrating
the LIBS system; between approximately 10% and 20% of the organic material
samples in the batch can be control samples. In an alternate embodiment, the
LIBS system can be pre-calibrated prior to analyzing the batch.
In an embodiment, the plurality of organic material samples is compacted
sequentially as part of a batch.
In an embodiment, the method further includes a step of loading the plurality
of
organic material samples in a support tray, with at least one of the steps of
drying, compacting, analyzing and archiving being performed while the soil
samples are in the support tray.
In an embodiment, the unique identifier within the LIBS system is scanned
prior
to performing the analysis of the organic material sample.
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In an embodiment, analyzing the organic material sample using the LIBS system
includes shining a laser on a plurality of different areas on an exposed
surface of
the organic material sample.
5 In an embodiment, the method further includes the steps of receiving
report
preferences from a user and generating a report summarizing the analysis
according to the report preferences.
In an embodiment, the method further includes the step of grouping a plurality
of
.. sample containers in a sample group box and mailing the sample group box
via a
postal service.
In an embodiment, the method further includes the step of providing the sample
group box with a pre-paid postage label for returning the sample group box to
a
lab after the soil sample containers have been filled.
In an embodiment, the plurality of organic material samples is archived while
inside the sample group box.
In an embodiment, archiving the plurality of organic material sample includes
storing the plurality of organic material samples within their respective
sample
containers in a climate controlled environment for a period of at least 6
months.
In an embodiment, the plurality of organic material samples is archived while
inside the organic material sample containers.
In an embodiment, the organic material sample comprises a soil sample. In
other
embodiments, the organic material comprises manure, fertilizer and/or leaves.
According to an aspect, a system for sampling and analyzing organic material
is
provided. The system includes: a plurality sample containers, each sample
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6
container including porous sidewalls and having a unique identifier associated
therewith; a database associating, for each of the sample containers, a
geographic position with the unique identifier, the geographic position
corresponding to a location where an organic material sample was taken; a
press
for compacting organic material samples inside the sample containers, the
press
including at least one automated piston sized and shaped for fitting within an
open-end of the sample containers; a LIBS system and a server. The [IBS
system includes: a scanning device to scan the unique identifier associated
with
each of the plurality of sample containers; a laser head assembly and a
spectrograph to analyze the organic material samples while inside the sample
containers; and to generate analysis results; a processor and a memory, the
memory having stored therein instructions executable by the processor to
control
the scanning device, the laser head assembly and spectrograph. The server
includes a processor and a memory. The server is in communication with the
LIBS system and the database, with the memory having stored thereon
instructions executable by the processor to receive the analysis results from
the
LIBS system and associate the analysis results with the unique identifiers in
the
database.
In an embodiment, each of the plurality of sample containers includes: a body
including a base and the porous sidewalls, the porous sidewalls extending
peripherally from the base and defining, together with the base, a cavity with
an
open end for containing an organic material sample; and a removable lid
covering the open end, the unique identifier being provided in at least one of
the
body and the lid.
In an embodiment, a thickness of the base is selected such that the base can
support a weight of between approximately 15 tonnes and 30 tonnes.
.. In an embodiment, the system includes an oven for drying the organic
material
samples while inside the soil sample containers.
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In an embodiment, the press is shaped and configured to receive several of
said
sample containers at a time.
In an embodiment, the system includes a support tray for supporting the
plurality
of sample containers, the tray including cavities sized and shaped for
receiving
the sample containers therein.
In an embodiment, the support tray includes: a base having a top side and a
bottom side, the top side being provided with the cavities arranged
peripherally
around a central axis; and lid supports extending from the top side of the
base
adjacent each cavity for supporting the removable lids of the soil sample
containers peripherally around the central axis, the lid supports including
support
arms for retaining the lids of the soil sample containers in an upright
position.
In an embodiment, the tray further includes a locking mechanism for retaining
the
sample containers in the base of the tray.
In an embodiment, the system includes a client device in communication with
the
server, the client device including a processor, memory, a scanning mechanism
and a geographic position sensor, the memory having stored therein
instructions
executable by the processor to cause the client device to scan the unique
identifiers of the sample containers using the scanning mechanism, capture
geographic position coordinates corresponding to a location from which an
organic material sample in a corresponding sample container was taken using
the geographic position sensor, and transmit the geographic position
coordinates
associated with corresponding unique identifiers for storage in the database.
In an embodiment, the system includes a reusable sample group box for
transporting groups of sample containers to and from a lab, and for archiving
groups of sample containers, the box including a plurality of slots for
receiving the
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group of sample containers and a lid for enclosing the group of sample
containers within the box.
According to an aspect, a method is provided for sampling and analyzing
organic
.. material. The method includes the steps of: (1) collecting samples of
organic
material; (2) tagging the samples; (3) grouping a collection of samples; (4)
sending the samples to a laboratory; (5) receiving a collection of samples at
a
laboratory and identifying the collection; (6) drying the samples; (7)
compacting
the samples; (8) analyzing the samples using LIBS, or other such technology;
(9)
generating a report from the analyzed data; and (10) archiving the samples.
In an embodiment, the tagging of samples is done using a unique identifier,
such
as QR codes. Each tagged sample is further associated with indicia of source,
such as the GPS coordinates of where the sample originates, or a timestamp
indicating when the sample was taken.
According to an aspect, a system for containing and transporting samples is
provided. The system includes porous cups for containing individual samples.
The cups can have a label affixed to the exterior displaying a unique
identifier,
such as a QR code or other tagging method for identifying the cup. The system
also includes a shippable cardboard box adapted to receive a plurality of
cups,
such as twelve or twenty-four of the porous cups. The cardboard box can be
further identified by a unique tag for classification and archiving.
According to an aspect, a computerized system for managing samples and
manipulating analyzed data is provided. The system includes at least a server
and a client device. The client device is adapted to read a tagged sample, via
the
unique identifier for example, and transmit to the server information to be
associated with the sample. Such information may include, for example, GPS
coordinates, a timestamp, or both, or the results of [IBS analysis. The server
is
adapted to gather data collected from the client, store it in a database, and
9
present it in the form of a report, which can be accessible via a web browser,
for
example.
In an embodiment, one client device may be a mobile phone, the mobile phone
being equipped with a camera, GPS receiver and mobile data connection. A user
scans the QR code of a sample at the very location it was taken, while the
mobile
phone registers the current GPS location and sends this data to the server. A
second client device may be the machine carrying out the sample analysis. The
machine automatically scans a OR code and stores the analysis information in
the
server database along with the GPS data. Information collected by both clients
can
be combined to generate a report.
According to yet another aspect, a system for preparing the organic material
samples for the LIBS analysis is provided. The system includes a unit for
drying
the samples, and a unit for compacting the samples.
According to yet another aspect, a method for sampling and analyzing organic
material is provided. The method includes the steps of: providing a sample
container having eidewalle defining a cavity for receiving an organic material
sample therein, and having a unique identifier associated therewith;
associating,
on a database, a geographic position with the unique identifier, the
geographic
position comprising geographic coordinates corresponding to a location where
the
organic material sample was taken; receiving the sample container with the
organic
material sample contained therein; compacting the organic material sample
while
inside the sample container; analyzing the compacted organic material sample
while inside the sample container using a Laser Induced Breakdown Spectroscopy
(LIBS) system and generating analysis results; and associating, on the
database,
the analysis results with the unique identifier of the sample container.
According to yet another aspect, a system for sampling and analyzing organic
material is provided. The system includes: a plurality of sample containers,
each
sample container having sidewalls defining a cavity with an open end for
receiving
a corresponding organic material sample therein, and having a unique
identifier
associated therewith; a database associating, for each of the sample
containers, a
Date Recue/Date Received 2021-12-30
9a
geographic position with the unique identifier, the geographic position
comprising
coordinates corresponding to a location where the corresponding organic
material
sample was taken; a press for compacting organic material samples while inside
the sample containers, the press comprising at least one automated piston
sized
and shaped for fitting within the open-end of the sample containers; a Laser
Induced Breakdown Spectroscopy (LIBS) system comprising: a scanning device to
scan the unique identifier associated with each of the plurality of sample
containers;
a laser head assembly and a spectrograph to analyze the compacted organic
material samples while inside the sample containers; and to generate analysis
results; a processor and a memory, the memory having stored therein
instructions
executable by the processor to control the scanning device, the laser head
assembly and spectrograph and ; a server comprising a processor and a memory,
the server being in communication with the LIBS system and the database, the
memory having stored thereon instructions executable by the processor to
receive
the analysis results from the LIBS system and associate the analysis results
with
the unique identifiers in the database.
According to yet another aspect, a method for analyzing samples of organic
material is provided. The method includes the steps of: storing, on a
database,
geographic positions and unique identifiers, the unique identifiers uniquely
identifying the samples, the geographic positions comprising geographic
coordinates corresponding to locations where the samples of organic material
were
taken; receiving the sample of organic material; compacting the organic
material
sample; analyzing the compacted organic material using a Laser Induced
Breakdown Spectroscopy (LIBS) system and generating analysis results; and
associating, on the database, the analysis results with the unique
identifiers.
According to yet another aspect, a method for analyzing samples of organic
material is provided. The method includes the steps of: receiving a sample of
organic material, the sample being associated with a unique identifier and to
a
location where the sample or organic material was taken; compacting the
organic
material sample; analyzing the compacted organic material using a Laser
Induced
Breakdown Spectroscopy (LIBS) system and generating analysis results; and
Date Recue/Date Received 2022-05-19
9b
associating, on a database, the analysis results with the unique identifier of
the
sample container.
BRIEF DESCRIPTION OF THE DRAWINGS
Figures 1A to 1C contain a flow chart schematically illustrating the steps in
a
method for sampling and analyzing organic material, according to an
embodiment.
Figure 2A is a perspective view of a sample container for use in the method of
Figures 1A to 1C, according to an embodiment.
Figure 2B is a perspective view of a container lid for sealing and identifying
the
sample container of Figure 2A.
Figures 2C and 2D are perspective views of the sample container and lid of
Figures
2A and 2B assembled together.
Date Recue/Date Received 2022-05-19
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Figure 3 is a block diagram illustrating a computer system for identifying and
tracking organic material samples for use in the method of Figures 1A to 1C,
according to an embodiment.
5
Figure 4A is a perspective view of a sample group box for use in the method of
Figures 1A to 1C, according to an embodiment, shown in an assembled and a
disassembled configuration.
10 Figure 4B is a perspective view of the sample group box of Figure 4A in
an open
configuration, showing sample containers supported by a removable group tray.
Figure 4C is a perspective view of the sample group box of Figure 4A in a
closed
configuration, showing a configuration of shipping and identification labels
affixed
thereto.
Figure 4D is a perspective view of a sample group box for use in the method of
Figures 1A to 1C, according to an alternate embodiment where the sample group
box accommodates two removable group trays.
Figures 5A and 5B are schematic illustrations of a drying device useful during
the
drying step in the method of Figures 1A to 1C, according to an embodiment.
Figure 6A is a partially transparent front view of a pressing device useful
during
the pressing step in the method of Figures 1A to 1C, according to an
embodiment.
Figure 6B is a partially transparent perspective view of the pressing device
of
Figure 6A, showing a sample container support tray supported therein.
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11
Figures 6C and 6D are detail views of a pressing unit, according to an
embodiment where the pressing unit is provided with an ejection piston.
Figure 6E is a schematic view of a pressing device according to an embodiment
where the pressing device comprises a plurality of pressing heads.
Figures 7A and 7B are top and bottom perspective views of a capsule support
tray for use in the method of Figures 1A to 1C, according to an embodiment.
Figure 7C is an exploded view of the capsule support tray of Figures 7A and
7C.
Figure 7D is a schematic of a capsule support tray according to an alternate
embodiment which supports the capsules while inside a group tray.
Figure 8A is a partially transparent front view of a LIBS system for use in
the
method of Figures 1A to 1C, according to an embodiment.
Figure 8B is a partially transparent side view of the LIBS system of Figure
8A.
Figure 8C is a cross-sectional view of the LIBS system of Figure 8B taken
along
line 8C-8C.
Figure 9 is a block diagram illustrating a computerized system for identifying
and
analyzing organic material samples for use in the method of Figures 1A to 1C,
according to an embodiment.
Figure 10 is a schematic illustrating a sample report generated during the
method
of Figures 1A to 1C.
DETAILED DESCRIPTION
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12
In the following description, the term "client device" refers to any
electronic device
capable of executing computer code and communicating with a server via a
communication channel. Examples of a client device may include, but are not
limited to: a laptop or desktop computer, a tablet, or a smartphone device.
The
term "server" refers to a computing device capable responding to requests from
a
client device, by means of a communication channel. As will be evident in the
remainder of the description, the server carries out a variety of functions.
These
functions need not be done on the same physical device, and thus the
definition
of a server may also refer to a collection or cluster of computing devices
networked in some fashion.
What follows describes a preferred embodiment of the present invention, and
provides examples for possible implementations. These are but one of many
ways to implement the invention. For example, although the system and method
are described in the context of soil analysis, it is appreciated that the
system and
method can apply to the analysis of other types of organic material. As such,
the
examples provided should not be taken as to limit the scope of the invention
in
any way. In the figures, the same numerical references refer to similar
elements.
Furthermore, for the sake of simplicity and clarity, namely so as to not
unduly
burden the figures with several references numbers, not all figures contain
references to all the components and features, and references to some
components and features may be found in only one figure, and components and
features of the present disclosure which are illustrated in other figures can
be
easily inferred therefrom.
A. Method
Referring to Figures 1A-1C, a diagram illustrating the main steps in the
method of
the present invention is shown, according to an embodiment. It should be
understood that different steps in the method can occur in different
locations. For
example, some steps can occur on-site where the organic material samples are
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13
collected, and some steps can occur at a lab where the organic material
samples
are analyzed. It should be understood that the word "lab" is use herein to
lighten
the text. A "lab" can include any location on site or off site which has the
necessary equipment to perform the analysis of the soil samples.
The first step comprises sampling. In this step, an agronomist, or other
operator,
collects samples of organic material from strategic locations across an area
of
land, and places them in containers which were received from a lab or other
entity. In the present embodiment, the organic material samples comprise soil
samples. Typically, the soil samples are collected manually, for example with
a
shovel or a coring tool, or with the help of a machine adapted to collect
samples.
In the presently described embodiment, the samples are stored in containers
referred to hereinafter as "soil sample containers", as their function in this
particular embodiment is to contain soil samples. However, it is appreciated
that
the same or similar containers can be used to contain other types of organic
material, such as leave for example, and can therefore also be referred to as
simply "containers" or "sample containers". In the presently described
embodiment, the containers are porous sample containers. However, it is
appreciated that other types of containers can also be used, such as a
sealable
plastic bag for example. The size of the samples can be relatively small. For
example, each soil sample container can contain between 5 grams and 150
grams of soil sample. Once inside the containers, the samples are tagged
according to a predetermined tagging scheme, preferably indicating where the
samples originated. This step of tagging allows associating soil samples with
specific geographic locations or positions on an area of land from where they
were taken. This can be accomplished, for example, with the help of a client
device and a QR code affixed to the soil sample container. Preferably, prior
to or
after filling a soil sample container, a client device is used to scan a QR
code on
the container and capture GPS coordinates, the GPS coordinates corresponding
to where the sample was taken. The QR code and corresponding coordinate
information is wirelessly transmitted and received on a server where they can
be
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14
associated in a database. Once tagged, several samples are grouped together
and prepared for shipping. The individual samples are packed together into a
sample group box, i.e. a larger container suitable for holding a group of
multiple
samples, and being adapted for shipping the samples safely. The group box can
also be adapted such that they identify from where the samples originate, for
example by providing a label with client information. Once prepared, the group
box is shipped to a lab for processing.
The second step comprises receiving the samples at the lab. The sample group
box is received, and is identified according to its origin, for example using
an
identifier such as a OR code and/or a customer information label. This step is
optional since it is possible to include customer information in the OR code
on
each sampling container. Tracking the sample group box when it arrives in the
lab allows tracking the time between receiving a sample group box and
analyzing
the samples of the sample group box. When the group box is identified, the
samples contained therein can be associated with a particular group, for
example
using the identifier or customer information. For example, a single group box
can
correspond to samples taken at various locations in a single field. The
samples
can therefore be associated to a group which corresponds to the field. The
association of individual samples to a particular group can, for example, be
stored in a database on a server. It should be noted that, in an embodiment,
this
association can be made prior to receiving the samples at the lab. For
example,
the lab can prepare a group box with several empty soil sample containers
therein, and associate the soil sample containers with a group prior to
mailing the
empty soil sample containers to a client to be filled.
Once identified, the next steps involve preparing the sample for analysis.
Preferably, the preparation and analysis of the sample is done in the same
container in which the sample was shipped, for example to reduce the materials
used and to avoid having an extra step of transferring portions of the samples
to
different containers. The preparation and analysis can be done with the sample
CA 02953713 2017-01-04
inside the soil sample container in which it was shipped or, in some cases,
with
the sample inside the group box or the group tray in which it was shipped. In
some embodiments, the soil sample containers can be transferred to a support
tray which supports the samples throughout the preparation and analysis steps.
5
The third step comprises an optional step of drying the samples in order to
prepare the samples for analysis. This can be done, for example, over the
course
of 12 to 18 hours at a temperature of about 37 C in a drying chamber, such as
an
oven or incubator for example. The time and temperature can vary according to
10 the sample and/or testing conditions. For example, the drying period can be
anywhere between approximately 2 hours and 48 hours, and the drying
temperature can be anywhere between 30 C and 45 C. Drying is done in order
to remove humidity from the samples to avoid leaching of nutrients, or water
seepage in subsequent steps in which the samples are compacted and analyzed.
15 Such effects can be avoided if, for example, the samples are dried to a
humidity
level of about 10% or less. In some embodiments, the drying step can be
accomplished outside of the lab. For example, the samples can be dried during
transport, either on their own in an ambient environment, or in a climate
controlled area of a transport vehicle. In some embodiments, the soil samples
can be sufficiently dried prior to arriving at the lab, and need not be dried
in the
oven or incubator.
The fourth step comprises pressing or compacting the samples, for example with
the help of a pressing system. In this step, each sample is compressed under a
weight of about 23 tonnes for several seconds. The soil is compacted to
account
for the fact that each sample may contain material with different
characteristics.
In order to get a consistent reading from each sample, they must all have a
uniform surface. Compacting the soil assures that each sample is uniform. The
weight applied to the samples can vary, for example according to the
composition
of the soil. In typical embodiments, the soil samples are pressed with a
weight of
between approximately 15 tonnes and 30 tonnes. Preferably, the soil samples
. CA 02953713 2017-01-04
,
16
are compacted while inside their sample containers. This provides the
advantage
of avoiding transferring or manipulating the soil samples. In an embodiment,
each
sample in a group of samples can be compacted one at a time. In an alternate
embodiment, two or more samples of a group can be compacted simultaneously.
Preferably, compacting a group of samples is automated. For example, the press
can be configured to compact a first sample or a first set of samples, and
then
move the samples or the pressing head in order to continue compacting the
remaining samples without manual human intervention. To aid in this task, the
soil sample containers can be loaded in a support tray which allows the
compacting system to more easily manipulate and reposition the soil sample
containers.
Once compacted, the fifth step comprises analyzing the samples using a LIBS
system. The samples can be analyzed using known LIBS analysis methods, for
example the one disclosed in the international PCT application no WO
2015/077867. Preferably, the analysis is done on the samples while they are
still
inside their corresponding soil sample containers, and can involve shining a
laser
on a plurality of different areas on an exposed surface of the soil sample
(i.e. the
uniform surface created during the pressing step). Preferably, prior to
analyzing
the sample using the laser, the unique identifier of the soil sample container
is
scanned by the LIBS system. In this fashion, data acquired by the analysis can
be associated with the sample by means of the unique identifier, for example
by
transmitting the analysis data to a server for storage in a database.
Preferably,
the analysis of a group of samples is automated. For example, the LIBS system
can be configured to analyze a first sample, and then reposition the samples
or
the laser head in order to analyze subsequent samples without manual human
intervention. To aid in this task, the soil sample containers can be loaded in
a
support tray which allows the LIBS system to more easily manipulate and
reposition the soil sample containers. Preferably, each sample in the group is
analyzed in this fashion in 60 seconds or less.
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17
Preferably, the support tray can be provided with control samples for
calibrating
the LIBS system. For example, between approximately 10% and 20% of the
samples being scanned can be controls. The control samples can be identified
by
the LIBS system by unique identifiers on their corresponding soil sample
containers. In an embodiment where a group of sample comprises 12 containers,
the support tray can be configured to hold 14 soil sample containers, 2 of
which
contain control samples.
Once the samples are analyzed, a sixth step comprises generating a report. The
.. report can serve to present the analysis results. For example, the reports
can be
that from a single point of sampling, from all the sampling points, or a
summary
for a whole field. Preferably, the report is generated by a server connected
to a
database which contains the analysis results and other data associated with a
sample. Preferably, the report can be accessed over the internet, for example
through a web portal by a client or operator. Preferably, the report cannot be
tampered with. In an embodiment, an agronomic report can be generated where
recommendations are made. In such a report the client can specify report
preferences which can include types of data to include in the report, and the
report can be generated according to the report preferences. The
recommendations can be compiled in a file readable by a fertilization device,
the
file providing the fertilization device with instructions to automatically
distribute
nutrients in a field according to the analysis results of the samples and
their
associated geographic locations.
A seventh step, can comprise archiving the samples. The samples can be
archived inside the group box so that they can be recovered or re-analyzed at
a
later date. The group box can be provided with a label on a front surface, for
example, so that it can be easily identified when stacked vertically, thus
helping
to save space. Preferably, the samples are stored for a period of at least 6
months following their analysis, according to ISO 17025 standards. The samples
CA 02953713 2017-01-04
18
can be archived in a climate controlled environment, for example to avoid
deterioration.
As can be appreciated, following receipt of the analysis results and/or
recommendations, a fertilization plan can be developed, and this plan can be
executed in order to spread the appropriate fertilizers to maintain the
desired soil
profile depending on the types of crops which are being grown. In an
embodiment, the sampling and analysis described above can be used in the
context of providing a feedback loop in the execution of a fertilization plan,
and
can allow for the plan to be adjusted as necessary. For example, in an
embodiment, following the spreading of fertilizers, the soil can be re-sampled
at
similar or different locations, and the samples can be analyzed using the LIBS
system in order to determine if the soil has been properly fertilized. If the
soil still
does not have an optimal profile, the fertilization plan can be adjusted in
order to
attain the desired results.
As can be further appreciated, although the method was described above in the
context of soil analysis, it is understood that other types of organic
material can
also be analyzed. In some embodiments, fertilizer or manure can be analyzed in
order to determine their authenticity. In some embodiments, the above-
described
system can be used in the context of foliar analysis. In such an embodiment,
foliar samples can be gathered from plants and placed into sample containers.
As described above, the sample containers can comprise an identifier, and the
container can be associated with GPS coordinates corresponding to the location
where the sample was taken. The samples can be sent to a lab where a LIBS
system can analyze the composition of the foliar samples. As can be
appreciated, such an analysis provides an indication of the nutrients which
were
actually absorbed by plants at the locations where the foliar samples were
taken.
An excess and/or deficiency of certain nutrients can be identified, and a
fertilization plan can be developed and executed in order to correct for the
excess
and/or surplus. In such an embodiment, foliar analysis can be used as a
CA 02953713 2017-01-04
19
feedback loop for fertilization. This can be useful, for example, in the
context of
agriculture or horticulture.
In some embodiments, the above-described foliar analysis can be used in
combination with the above-described soil analysis. For example, the soil can
be
analyzed to develop a fertilization plan in preparation for cultivating a
crop. After
the soil is fertilized and the crops are planted, foliar samples can be taken
from
the crops after a determined period of time when the crops have grown. The
foliar samples can thus allow verifying whether nutrients were properly
absorbed
by the crops. If any nutrients are missing, the soil can be re-fertilized
accordingly.
As can be appreciated, different sample containers may be used depending on
the type of organic material being sampled. In some embodiments, for example
where it may be necessary to preserve the moisture content of the sample, a
non-porous and liquid and/or airtight container may be used. In some
embodiments, the container can be a bag, such as a re-sealable plastic bag, or
a
vessel which can be configured to contain a sample comprising fluid. It is
preferred, however, that the containers each have a unique identifier which
can
be used to identify the samples and associate it with GPS coordinates using a
mobile device, regardless of the type of container. Preferably, the containers
are
configured such that the samples can be prepared and analyzed using the LIBS
while inside their respective container, however in some embodiments, the
samples can be transferred to another container for performing the LIBS
analysis.
As can be further appreciated, depending on the type of organic material being
analyzed, additional or alternative steps can be used to prepare the organic
material for analysis using the LIBS system. As explained above in the context
of
soil analysis, soil can be dried and compacted in the sample container prior
to
analysis using the LIBS system. However, depending on the nature of the
samples of organic material, other preparatory steps may be necessary. For
CA 02953713 2017-01-04
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example, when the sampled organic material is coarse, the organic material can
be crushed, ground, scrambled, blended, pulverized and/or mixed, for example
to
transform the sample into a more fine-grained and substantially homogeneous
mixture. In some embodiments, the organic material can be dried prior to
mixing
5 and/or blending, while in other embodiments, moisture can be introduced
to the
sample to facilitate the blending of the sample, and the sample can be dried
after
the mixing and/or blending. In some embodiments, the sample may be
sufficiently dense and uniform and it may not be necessary to compact the
sample prior to analysis. Compacting the sample can be omitted in some further
10 embodiments, for example if the sample has a high level of moisture or
is
substantially aqueous. Preferably, all the preparatory steps, including any
mixing
and/or blending, are performed in the sample container. However, it is
appreciated that in some embodiments, some preparatory steps can involve
transferring the sample to another container, for example to simplify certain
15 preparatory steps.
Some of the preparatory steps described above can, for example, apply in the
context of foliar analysis. As can be appreciated, in such a context, the
samples
of organic material can comprise pieces of leaves. These leaves are
substantially
20 large pieces and may not be suitable for analyzing directly using the
LIBS
system. Therefore, in an embodiment, after receiving foliar samples at a lab,
the
samples can be dried in a similar fashion as described above in the context of
soil analysis. Next, the foliar samples can be reduced to a finer granularity,
for
example they can be crushed, blended, scrambled and/or mixed, thereby
transforming the sample into a more fine-grained composition which can be
substantially homogeneous. In some embodiments, the fine-grained sample can
then be compacted using a pressing system, and analyzed using the LIBS
system as usual.
CA 02953713 2017-01-04
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21
B. System
i. Soil Sample Container
With reference to Figures 2A to 20, a soil sample container 200 is provided
for
use in the above-described method. In the illustrated embodiment, the soil
sample container 200 is a sampling cup, but other shapes are also possible.
The
soil sample container 200 is provided with a base 204 and sidewalls 202
defining
a substantially round outer contour and an inner cavity 208. The inner cavity
is
sized and shaped for receiving between 5 grams and 150 grams of a sample of
soil 210. The upper portion of the cup is provided with a lip 206, which can
serve
to receive a lid, or to provide an abutment to allow the soil sample container
to
rest inside a support with a round cavity. Preferably, at least the sidewalls
202 or
the base 204 comprise a porous material 203. The porous material 203 can be a
.. porous plastic which allows moisture to exit the container, such as
polyethylene
for example with pore size diameters ranging from 7 to 150 micrometers.
Preferably still, the base 204 and sidewalls 202 are sized and shaped so that
they can support between at least 15 tonnes and 30 tonnes. In this
configuration,
the soil sample container 200 can be used to contain the sample 210 during the
entire process, including the steps of drying, compacting and analyzing the
sample. This eliminates the need to transfer the sample to other containers
during the analysis steps, and thus reduces the steps in the overall
collection/analysis process. Of course, other types of materials are also
possible
according to varying needs. For example, the cup could also be made out of a
recyclable material. Preferably, the base 204 and sidewalls 202 are made from
the same material, but in possible embodiments, the base 204 can be made of a
different material which can support a higher load.
The soil sample container 200 can further be provided with a removable lid
220.
The lid 220 comprises a cover portion which can be provided with a tag or
identifier 222, such as a QR code or a barcode, for example, on an outer
surface
CA 02953713 2017-01-04
,
22
thereof. According to different possible embodiments, the lid 220 can be
configured to fit inside the inner cavity 208, or can be provided with a rim
224 so
that it fits around the lip 206 of the soil sample container 200. The lid
serves to
contain the sample 210 inside the container 200, and can also be used to
identify
the sample using the unique identifier 222. In the illustrated embodiment, the
lid
is secured to a hoop 226 via a flexible joint 225. The hoop 226 comprises a
hole
227 sized to fit the container therein. In this fashion, the lid assembly can
be
secured to the container, while allowing the lid 220 to close by folding the
cover
over the flexible joint 225 and towards the hoop 226. The lib can also consist
of a
laminated membrane which is removably glued to the top edges of the sidewall
of
the container, The lid 220 may further be provided with identification
information
228 on the under-side of the cover. In other embodiments, a unique identifier
can
be provided elsewhere in the container or in the cover. For example, a RFID
chip
can be affixed to the container or the cover, or embedded therein.
ii. Computer System for Identifying and Tracking Organic Material
Samples
Referring now to Figure 3, a computer system 300 is shown for identifying
samples during the sampling step of the above-described method, and tracking
the samples throughout the remaining steps. The system 300 includes a client
device 302 and a server 320 which communicate via a communication channel
312. The client device 302 is preferably a mobile device 302' equipped at
least
with a processor 304, memory, a scanner 306 and a geolocation sensor such as
GPS 308. The server 320 is equipped with at least a processor 322 and a
database 324. The server can be a single computer 320' or several
interconnected computers among which the processor and database are
distributed.
The client device's scanner 306 can be any type of sensor which allows the
client
device 302 to read a unique identifier 222 associated with a sample container.
CA 02953713 2017-01-04
23
For example, lithe identifier 222 is a QR code, the scanner 306 can be an
optical
sensor or camera. lithe identifier 222 is an RFID chip, the scanner 306 could
be
a near field communication (NFC) reader. The memory contains instructions
executable by the processor 304 which allow the identifier 222 on a sample
container to be scanned by the client device 302 using the scanner 306. The
unique identifier 222, along with any other information relating to the sample
in
the sample container, such as GPS coordinates, can be transmitted to the
server.
The information is transmitted to the server by means of a communication
channel 312, for example over the internet by a wireless data connection. It
should be noted that this information need not be transmitted immediately. In
some cases, for example if an internet connection is not available when the
sample is scanned, the information gathered by the client device 302 can be
stored on a database local to the client device 302. The client device 302 can
transmit the information to the server 320 and/or synchronize information with
the
server 320 at a later time, for example when an internet connection 312
becomes
available.
The server 320, being provided at least with a processor 322 and a database
324, can process the data received from the client 302, and store it for later
access. Preferably, the server 320 can be configured to associate a unique
identifier 222 with a sample and the GPS coordinates. Preferably, this
association is stored within the database 324. It should be understood that,
although in the illustrated figures the client device 302 only collects GPS
information, other information collected by any other sensors on the client
device
can also be transmitted to the server and associated with the unique
identifier
222 of a sample. For example, when scanning the sample, the client device 302
can also measure the current ambient temperature and record the current date
and time.
Such a system can provide a simplified mechanism which allows managing large
volumes of samples, and retaining information about the geographic origin of
CA 02953713 2017-01-04
24
each sample. It can also simplify the sampling process by automating the
gathering of information about a sample, such as its GPS coordinates for
example. Of course, during the scanning step, the client 302 can transmit
other
information for storing on the server, such as information relating to the
owner of
the sample, the operator performing the sampling, or the field from which the
sample was taken. The client device 302 can also generate an order form to
request the analysis of the sample.
iii. Sample Group Box
With reference now to Figures 4A to 4C, a sample group box 400 (or sample
aggregation box) is shown. The sample group box 400 can serve to collect
several sample containers 200 into a single container for easier transport and
storage. The sample group box 400 can therefore be useful in the sampling and
reception steps of the above-described method, when the samples are mailed to
a lab. It can also be useful in the archiving step of the above-described
method,
so that the samples can be stored in a space-efficient manner for future
access.
The illustrated sample group box 400 comprises a closeable lid 402 and slots
410 configured to receive sample containers 200. The group box 400 can
comprise two separable components: a shell 404 and a group tray 408. The shell
404 comprises the lid 402 and a cavity 406 adapted for receiving the tray
component 408 therein. As is best illustrated in Figure 4A, the box can be
assembled from flat pieces of material, such as cardboard. Of course, in other
embodiments, other materials are also possible.
The closeable lid 402 allows the box 400 to be sealed, and can thus allow the
group box 400 to serve as a container for shipping a group of samples. The box
400 can further be provided with labels 412, 413 to simplify the transport and
identification of the box 400. For example, the box 400 can be provided with a
shipping label 413 on a top surface thereof for mailing the box 400 using a
parcel
. CA 02953713 2017-01-04
delivery service. The box 400 can also be provided with an identification
label
412 on a side surface thereof, allowing the box 400 to be easily identified
when
stacked vertically among other boxes. The identification label 412 could
include a
unique identification number, a unique code such as a QR or barcode, or any
5 other identification means.
An operator collecting samples can, for example, pre-pay for a group box 400.
Once prepaid, the operator can receive the box 400 with the necessary labels
412, 413 affixed thereto, and with empty sample containers 200 stored therein.
10 The operator can thus proceed with sample collection, and ship the box
400 with
the samples contained therein immediately once the sampling is complete. Once
the box 400 has arrived at its destination, which is typically the laboratory,
the
tray component 408 can be removed. Subsequent steps can be performed with
the sample containers in the group tray 408, or by transferring the sample
15 containers to another support. During the archiving step, the tray 408
can be
returned to the shell 404 with the sample containers 200 stored therein. The
box
300 can then be sealed for storage. The box 400 thus serves as a single
container which can be used throughout the collection, analysis and archiving
steps, effectively reducing the need to transfer samples and simplifying the
20 overall process, all the while keeping groups of samples together to
avoiding
contamination or confusion.
In the illustrated embodiment of Figured 4A to 4C, the box 400 is adapted to
fit 12
sampling containers 200 of a single group. However, this can vary according to
25 other embodiments. For example, as illustrated in Figure 4D, the box 400
can be
configured to accommodate 24 or more samples by layering two or more trays
408 on top of one another. This can allow, for example, for a single box 400
to
store sample containers 200 from more than one group, or store sample
containers 200 for a single larger group. Additionally, according to other
embodiments, the box 400 can be configured differently to satisfy varying
needs.
For example, the trays 408 and the shell 404 can be a single unit.
CA 02953713 2017-01-04
26
iv. Drying Unit
Referring now to Figured 5A and 5B, a drying unit 500 is shown for drying the
samples during the drying step of the above-described method. In the present
embodiment, the drying unit 500 is an incubator, but in other embodiments,
other
types of drying units are also possible, such as an oven for example.
Preferably,
the drying unit 500 comprises a temperature control, allowing the temperature
to
be maintained between approximately 30 C and 45 C for a period of between
approximately 2 hours and 48 hours. In an embodiment, the drying unit 500 can
be set at a temperature of 37 C for 12 to 18 hours.
Preferably, the drying unit 500 is provided with supports, such as racks or
shelves, for supporting sample containers which are to be dried. During the
drying step, the sample containers can be placed inside the drying unit 500
while
inside a support tray 700, a group tray 408, or even a group box 400. The
drying
unit 500 can be adapted to hold up to 120 or more trays at a time, and can be
adapted to function on 208V 3-phase power.
v. Pressing System
With reference now to Figures 6A and 6B, a pressing system 600 is shown for
use in the pressing step of the above-described method. In the present
embodiment, the pressing system 600 is provided with two pressing units 602
for
simultaneously compacting samples in two different sample containers 200_ It
should be understood that in other embodiments, the pressing system 600 can
be provided with one or a plurality of pressing units 602. Each pressing unit
602
comprises an automated piston which can, for example, be driven hydraulically
using a motor 606. Each pressing unit is provided with a pressing head 603
sized
and shaped to fit inside a sampling container and compress a sample contained
therein.
CA 02953713 2017-01-04
27
Preferably, the pressing system 600 is configured to automatically compact
each
sample in a group of samples. In other words, the pressing system 600 can
process the samples as part of a batch. In the present embodiment, the
pressing
system 600 is provided with a rotatable stage 608. The stage 608 can be
configured to accommodate a support tray 700 which contains a plurality of
sample containers. In operation, the two pressing units 602 are operated to
simultaneously compact samples in two sample containers 200 opposite one
another in the support tray 700. Once the first two samples have been
compacted, the stage 608 is rotated, for example automatically using a motor,
to
position two subsequent sample containers 200 under the pressing units 602.
This process is repeated sequentially until all the samples in the support
tray 700
have been compacted. It should be understood that this process can vary
according to the configuration of the pressing system 600. For example, if the
system 600 comprises a single pressing unit 602, the samples can be compacted
one at a time. In another embodiment, such as the one illustrated in Figure
6E, a
pressing unit 602 can be provided with enough pressing heads 603 to press all
of
the sample containers 200 at once.
Preferably, the press is configured to apply 23 tonnes of weight for 15
seconds,
but this can vary according to the sample composition, tolerances of the
sample
containers, or preparation requirements. Typically, between 15 tonnes and 30
tonnes are applied to compress a sample. Additionally, the surface area being
pressed may vary according to other embodiments. For example, the entire
surface of the sample could be pressed, or only a portion of it.
With reference to Figures 6C and 6D, in an embodiment, each pressing unit 602
is further provided with an ejection piston 604. Such a piston is situated
below the
sampling containers such that after the contents of the sampling containers
have
been compressed, the containers can be ejected from the pressing unit 602 by
engaging the piston 604. Of course, in other embodiments, other types of
CA 02953713 2017-01-04
,
28
ejection devices are also possible in lieu of ejection pistons 604. For
example,
this can be done with a burst of air through the extremities of the pressing
units
602. According to other embodiments, the ejection piston may be located inside
the pressing head 603.
Vi. Support Tray
With reference now to Figure 7A to 7C, a support tray 700 is shown for
supporting a plurality of sample containers 200. The support tray 700 can
simplify
the above-described method by providing a means to more easily manipulate
and manage a plurality of samples in several of the described steps. During
the
preparation step, each of the sample containers in a group can be transferred
into a support tray 700. The samples can be dried, compacted and analyzed
while the sample containers 200 are inside the support tray 700. In this
fashion,
when moving from machine-to-machine in the various steps in the method, all of
the samples can be moved at once while inside the same support tray 700,
effectively eliminating the need to transfer each of the sample containers 200
individually. What's more, the support tray 700 can act as an interface to aid
in
automating the steps of drying, compacting and analyzing. For example, the
support tray 700 can be configured to be mounted to a stage within the devices
used in the drying, compacting and analyzing steps, allowing those devices to
more easily manipulate the sample containers without the need for human
intervention.
The support tray 700 comprises cavities 706 sized and shaped for receiving
sample containers therein. In the illustrated embodiment, the support tray 700
comprises a base 702 having a top side 702a and a bottom side 702b. The top
side of the base 702a is provided with the cavities 706 arranged peripherally
around a central axis 716. Lid supports 708 comprising lid support arms extend
from the top side 702a adjacent each cavity 706. The support arms define a lid
slot 710 for receiving and supporting the removable lids 220 in an upright
position
CA 02953713 2017-01-04
29
peripherally around the central axis 716. Preferably, the lid supports 708 are
configured to support the lids 220 such that an identifier 222 on the lid 220
faces
peripherally outward.
Preferably, the support tray 700 comprises a locking mechanism 704 for
retaining
the sample containers 200 in the base 702. In the illustrated embodiment, the
locking mechanism 704 comprises a plate removably affixed to the base 702.
The plate fits over the sample containers while inside the cavities 706 in the
base
702, securing the containers 200 therein. The plate includes cavities which
align
with the cavities 706 in the base 702, allowing access to the open end of the
sample containers 200 from above. A spacer 718 can be provided between the
plate and the base 702
In an embodiment, the base 702 can provide additional support to the base of
the
sample containers 200. For example, the base can include a plate on which the
base of the sample containers 200 rest. In this fashion, when the sample
containers 200 are compressed, the weight can be supported by the plate. The
base 702 can also be provided with feet 712 for supporting the support tray
700
at an elevation.
As can be appreciated, the described embodiment of the support tray 700 allows
simplifying the manipulation and displacement of the sample containers 200
while inside the various devices used in the steps of the above-described
method. For example, the support tray 700 can be removably mounted to a stage
which allows the support tray 700 to be rotated or displaced within the
devices,
allowing the devices to position samples as required without the need for
human
intervention.
In an embodiment, the sample containers 200 can be placed in the support tray
without leaving the group tray in which they were shipped. Referring to Figure
7D, an alternate embodiment of a support tray 750 is shown. The support tray
CA 02953713 2017-01-04
750 comprises a sleeve 752 and a handle 754. The sleeve 752 is adapted to
receive a single group tray 408, and is provided with holes 756 aligned above
each sample container 200 in the tray 408, such that the samples are
accessible
from above. In the present embodiment, the sleeve 752 is comprised of metal;
5 however, the material may vary according to other embodiments. The handle
754
encloses the tray 408 in the sleeve 752, such that the ensemble forms a drawer
which can fit inside a LIBS system or a pressing system, and can be moved as
needed along X and Y axes.
10 vii. LIBS System
Referring to Figures 8A to 8C, a LIBS system is shown 800 for use during the
analysis step of the above-described method. The LIBS system 800 comprises a
laser head assembly and spectrograph 802 to analyze samples while inside their
15 sample containers 200, a scanning device 808 to scan the unique
identifier
associated with each sample, and a computing system 801 comprising at least a
processor and memory. The LIBS system 800 also comprises a stage 804 for
accommodating a support tray 700. The support tray 700 can be rotated or
displaced using a motor 806 or actuator, for example.
In operation, the LIBS system 800 is controlled by the computing system 801 to
identify an individual sample 810 by reading the unique identifier (i.e.
barcode,
OR code, etc.) on the sample container 200 using the scanning device 808. The
scanning device 808 can comprise any type of sensor capable of reading the
unique identifier. For example, if the unique identifier is a OR code, the
scanning
device can comprise an optical sensor or a camera. Once the identifier is
scanned, the system 801 can direct the laser head assembly and spectrograph
802 to perform an analysis on the sample 810 in the container and generate
analysis results. Preferably, analyzing the sample and generating the analysis
results is performed in 60 seconds or less. Once the analysis of a sample is
complete, the system 801 can operate the stage 804 to move another sample
CA 02953713 2017-01-04
31
container 200 into position for analysis. This can be repeated until each of
the
samples has been analyzed, thus allowing all the samples to be analyzed
sequentially without manual human intervention. In other words, the LIBS
system
800 can process the samples as part of a batch. The system 801 can be
configured to only read an identifier if a sampling cup is present in the slot
to be
analyzed. If a sample is missing from a particular slot, or if the sample is
up-side
down, the system 801 can skip the analysis for that slot.
viii.
Computer System for Analyzing Samples, Storing Results and
Generating Reports
With reference now to Figure 9, an overview of a computer system 900 for
analyzing samples, storing analysis results, and generating reports is shown.
The
system 900 comprises the analysis device 800 (i.e. the LIBS system) and the
server 320 in communication via a communication channel 902. In operation, the
processor 801 in the LIBS system 800 transmits to the server 320 the results
from an analysis of a sample, along with the sample's identification
information
(read via the scanner 808). The data can be transmitted to the server via a
communication channel 902, such as over the Internet, wide area network or
local area network, depending on where the server 320 is physically located
relative to the LIBS system 800. The server 320 can then store the analysis
information and associate it with the identified sample in the database 324,
along
with the information collected about the sample during the sampling step in
the
above-described method (such as the GPS location information).
The analysis results, tagging/identification information, and any other
information
stored in the server's database 324 can be used to generate a report. A sample
of such a report is shown in Figure 10. The report may include details about
the
analysis of a single sample, or may collect data from several samples to help
in
developing an agro-environmental fertilization plan. This report can be
accessed,
for example, by communicating with the server over the internet. In such a
CA 02953713 2017-01-04
32
fashion, an operator who ordered the analysis of samples will be able to
consult
the analysis report by visiting a web-page on the internet, immediately after
the
analysis has been completed. The operator could also specify report
preferences, and the server can use these preferences in order to generate a
report which displays certain information according to the preferences.
Information in the report may include the pH level of the sample, and the
concentration of various minerals such as potassium, phosphorus, magnesium,
aluminum and calcium, among others. Such information can be presented, for
example, by using tables or graphs. The report can also include indications to
identify the report, in addition to indications to identify the sample, by
using a QR
code for example. The report can further include information for identifying
the
operator who ordered the report, information to identify the person who
carried
out the analysis, and information relating to how the analysis was performed.
As is evident from the present disclosure, the method and systems described
herein provide a streamlined process for gathering and analyzing soil samples
and/or samples of other types of organic materials. A single container is used
to
collect, ship, and analyze samples, eliminating the need to transfer the
samples
to different containers several times during the process, as is the case in
the prior
art. Additionally, the present invention provides a solution for using LIBS
technology, or the like, in the context of analyzing soil from many samples,
possibly across several fields, and provides a method to easily manage and
access information relating to the analysis. It further allows analyzing soil
in a
fashion which does not destroy the samples, thus permitting repeated analyses
if
necessary. Finally, the method and system provide a simplified means for
ordering soil analysis by an operator. The operator need only order a pre-paid
box, tag samples, and ship the box. Once the analysis is complete, the
operator
can immediately consult a report over the internet. This removes a significant
amount of paper from the process, and automates the organization and
management of analysis data.
