WO2013172697A1 - Automated identification of plant type using leaf image - Google Patents
Automated identification of plant type using leaf image Download PDFInfo
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- WO2013172697A1 WO2013172697A1 PCT/MY2013/000096 MY2013000096W WO2013172697A1 WO 2013172697 A1 WO2013172697 A1 WO 2013172697A1 MY 2013000096 W MY2013000096 W MY 2013000096W WO 2013172697 A1 WO2013172697 A1 WO 2013172697A1
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- Prior art keywords
- plant
- image
- leaves
- leaf
- type
- Prior art date
Links
- 238000000034 method Methods 0.000 claims abstract description 15
- 241000196324 Embryophyta Species 0.000 claims description 50
- 241000894007 species Species 0.000 claims description 23
- 238000001514 detection method Methods 0.000 claims description 12
- 244000043261 Hevea brasiliensis Species 0.000 claims description 9
- 241000221020 Hevea Species 0.000 claims description 8
- 229920003211 cis-1,4-polyisoprene Polymers 0.000 claims description 8
- 238000005259 measurement Methods 0.000 claims description 6
- 238000012545 processing Methods 0.000 claims description 6
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 238000007689 inspection Methods 0.000 description 2
- 241001503485 Mammuthus Species 0.000 description 1
- 238000003306 harvesting Methods 0.000 description 1
- QCAWEPFNJXQPAN-UHFFFAOYSA-N methoxyfenozide Chemical compound COC1=CC=CC(C(=O)NN(C(=O)C=2C=C(C)C=C(C)C=2)C(C)(C)C)=C1C QCAWEPFNJXQPAN-UHFFFAOYSA-N 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
- G06V10/761—Proximity, similarity or dissimilarity measures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/60—Type of objects
- G06V20/68—Food, e.g. fruit or vegetables
Definitions
- the present invention relates to a method of identifying types of plants using images of their leaves.
- this invention provides a method and system for determining a type of a plant, including clones of a certain species of plant, by capturing an image of a leaf of the plant using a mobile device and comparing the captured image to a database of stored images, with the aim of matching the image to one in the database. Once a match is found, the information associated with that particular type or clone is displayed on the mobile device, so that the type or clone of plant can be known very quickly at the location of the plant.
- This invention thus relates to a method for determining a type of plant by comparing an image of said plant's leaves with a database of stored images of leaves of which the species is known, including the steps of:
- the captured image is processed so that it can be compared to those in the database.
- the processing may include any or a combination of: border and line detection algorithms, range and pixel measurement correlation, tree leaf color and pattern detection analysis.
- the type or clone is of a species of rubber tree of the Hevea group.
- This invention further relates to a system for determining a type of plant by comparing an image of said plant's leaves with a database of stored images of leaves of which the species is known, including: an image capturing device, for capturing an image of a plant leaf, whereby the said image capturing device captures an image of a leaf and compares said image to a database of stored images of leaves, and matches with one of said stored images of leaves, so that said plant is identified.
- the said image is processed on said image capturing device before said comparison, and said processing includes any or a combination of: border and line detection algorithms, range and pixel measurement correlation, tree leaf color and pattern detection analysis.
- the type is a clone may be a species of rubber tree of the Hevea group.
- this invention is a method for determining a type of plant by comparing an image of said plant's leaves with a database of stored images of leaves of which the species is known, including the steps of:
- the captured image is processed so that it can be compared to those in the database.
- the processing may include any or a ' combination of; border and line detection algorithms, range and pixel measurement correlation, tree leaf color and pattern detection analysis.
- the type or clone is of a species of rubber tree of the Hevea group.
- this invention is a system for determining a type of plant by comparing an image of said plant's leaves with a database of stored images of leaves of which the species is known, including: an image capturing device, for capturing an image of a plant leaf, whereby the said image capturing device captures an image of a leaf and compares said image to a database of stored images of leaves, and matches with one of said stored images of leaves, so that said plant is identified.
- the said image is processed on said image capturing device before said comparison, and said processing includes any or a combination of: border and line detection algorithms, range and pixel measurement correlation, tree leaf color and pattern detection analysis.
- the type is a clone may be a species of rubber tree of the Hevea group.
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- Engineering & Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Theoretical Computer Science (AREA)
- Medical Informatics (AREA)
- Computing Systems (AREA)
- Databases & Information Systems (AREA)
- Evolutionary Computation (AREA)
- General Health & Medical Sciences (AREA)
- Artificial Intelligence (AREA)
- Software Systems (AREA)
- Health & Medical Sciences (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Image Processing (AREA)
- Image Analysis (AREA)
Abstract
A method and system for determining a type of a plant, including clones of a certain species of plant, by capturing an image of a leaf of the plant using a mobile device and comparing the captured image to a database of stored images, with the aim of matching the image to one in the database. Once a match is found, the information associated with that particular type or clone is displayed on the mobile device, so that the type or clone of plant can be known very quickly at the location of the plant.
Description
AUTOMATED IDENTIFICATION OF PLANT TYPE USING LEAF IMAGE
FIELD OF INVENTION
The present invention relates to a method of identifying types of plants using images of their leaves.
BACKGROUND OF INVENTION
Currently, clone inspection of Hevea brasiliensis is carried out by a very limited number of human clone inspectors. The process of clone inspection and verification is critical because it guarantees the supply or right clones recommended to growers, thus making sure they will harvest the maximum yield from the right clones. It takes years of experience, effort and the right prodigy to become a good clone inspector. This process is laborious, time consuming and prone to individual biasness. With an estimated more than 100 Hevea nurseries and approximately 1 ,000,000 individual Hevea trees in Malaysia alone, this is a mammoth job for our limited personnel to handle.
What is needed is an improved method to identify plant types such as clones that is free from individual biasness and human error.
SUMMARY OF INVENTION
In overcoming the above disadvantages, this invention provides a method and system for determining a type of a plant, including clones of a certain species of plant, by capturing an image of a leaf of the plant using a mobile device and comparing the captured image to a database of stored images, with the aim of matching the image to one in the database. Once a match is found, the information associated with that particular type or clone is displayed on the mobile device, so that the type or clone of plant can be known very quickly at the location of the plant.
This invention thus relates to a method for determining a type of plant by comparing an image of said plant's leaves with a database of stored images of leaves of which the species is known, including the steps of:
a) capturing an image of a leaf of said plant using an image capturing device; b) comparing said image of said leaf with a prepared database located on said image capturing device containing a plurality of stored leaf images, each said stored leaf image having a corresponding known plant type; and
c) matching said image of said leaf to said plurality of stored leaf images using any or a combination of: leaf morphology, leaf storey, stem and seed, such that the type of plant is determined.
In a preferred embodiment, the captured image is processed so that it can be compared to those in the database. The processing may include any or a combination of: border and line detection algorithms, range and pixel measurement correlation, tree leaf color and pattern detection analysis.
In a preferred embodiment, the type or clone is of a species of rubber tree of the Hevea group. This invention further relates to a system for determining a type of plant by comparing an image of said plant's leaves with a database of stored images of leaves of which the species is known, including: an image capturing device, for capturing an image of a plant leaf, whereby the said image capturing device captures an image of a leaf and compares said image to a database of stored images of leaves, and matches with one of said stored images of leaves, so that said plant is identified. The said image is processed on said image capturing device before said comparison, and said processing includes any or a combination of: border and line detection algorithms, range and pixel measurement correlation,
tree leaf color and pattern detection analysis. The type is a clone may be a species of rubber tree of the Hevea group.
These and other objects of the present invention will become more readily apparent from the detailed description given hereinafter. However, it should be understood that the detailed description and specific examples, while indicating the preferred embodiments of the invention, are given by way of illustration only, since various changes and modifications within the spirit and scope of the invention will become apparent to those skilled in the art from this detailed description.
DETAILED DESCRIPTION OF INVENTION
It should be noted that the following detailed description is directed to a method and system for determining a type of plant by comparing an image of said plant's leaves with a database of stored images of leaves of which the species is known and is not limited to any particular size or configuration but in fact a multitude of sizes and configurations within the general scope of the following description.
In a preferred embodiment, this invention is a method for determining a type of plant by comparing an image of said plant's leaves with a database of stored images of leaves of which the species is known, including the steps of:
a) capturing an image of a leaf of said plant using an image capturing device; b) comparing said image of said leaf with a prepared database located on said image capturing device containing a plurality of stored leaf images, each said stored leaf image having a corresponding known plant type; and
c) matching said image of said leaf to said plurality of stored leaf images using any or a combination of: leaf morphology, leaf storey, stem and seed, such that the type of plant is determined.
The captured image is processed so that it can be compared to those in the database. The processing may include any or a' combination of; border and line detection algorithms, range and pixel measurement correlation, tree leaf color and pattern detection analysis.
In a preferred embodiment, the type or clone is of a species of rubber tree of the Hevea group.
In a second embodiment, this invention is a system for determining a type of plant by comparing an image of said plant's leaves with a database of stored images of leaves of which the species is known, including: an image capturing device, for capturing an image of a plant leaf, whereby the said image capturing device captures an image of a leaf and compares said image to a database of stored images of leaves, and matches with one of said stored images of leaves, so that said plant is identified. The said image is processed on said image capturing device before said comparison, and said processing includes any or a combination of: border and line detection algorithms, range and pixel measurement correlation, tree leaf color and pattern detection analysis. The type is a clone may be a species of rubber tree of the Hevea group.
While several particularly preferred embodiments of the present invention have been described and illustrated, it should now be apparent to those skilled in the art that various changes and modifications can be made without departing from the spirit and scope of the invention. Accordingly, the following claims are intended to embrace such changes, modifications, and areas of application that are within the spirit and scope of this invention.
Claims
1. A method for determining a type of plant by comparing an image of said plant's leaves with a database of stored images of leaves of which the species is known, including the steps of:
a) capturing an image of a leaf of said plant using an image capturing device;
b) comparing said image of said leaf with a prepared database located on said image capturing device containing a plurality of stored leaf images, each said stored leaf image having a corresponding known plant type; and
c) matching said image of said leaf to said plurality of stored leaf images using any or a combination of: leaf morphology, leaf storey, stem and seed, such that the type of plant is determined.
2. A method for determining a type of plant by comparing an image of said plant's leaves with a database of stored images of leaves of which the species is known according to claim 1 wherein the said image capturing device processes the said image of leaf so that it can be compared to said database.
A method for determining a type of plant by comparing an image of said plant's leaves with a database of stored images of leaves of which the species is known according to claim 2, wherein the said processing includes any or a combination of: border and line detection algorithms, range and pixel measurement correlation, tree leaf color and pattern detection analysis.
A method for determining a type of plant by comparing an image of said plant's leaves with a database of stored images of leaves of which the species is known according to claim 1 , wherein the said type is a clone of a species of rubber tree.
A method for determining a type of plant by comparing an image of said plant's leaves with a database of stored images of leaves of which the species is known according to claim 4, wherein the said species of rubber tree is of the Hevea group.
A system for determining a type of plant by comparing an image of said plant's leaves with a database of stored images of leaves of which the species is known, including:
an image capturing device, for capturing an image of a plant leaf, whereby the said image capturing device captures an image of a leaf and compares said image to a database of stored images of leaves, and matches with one of said stored images of leaves, so that said plant is identified.
A system for determining a type of plant by comparing an image of said plant's leaves with a database of stored images of leaves of which the species is known according to claim 6, wherein the said image is processed on said image capturing device before said comparison, and said processing includes any or a combination of: border and line detection algorithms, range and pixel measurement correlation, tree leaf color and pattern detection analysis.
A system for determining a type of plant by comparing an image of said plant's leaves with a database of stored images of leaves of which the
species is known according to claim 6, wherein the said type is a clone of a species of rubber tree.
A system for determining a type of plant by comparing an image of said plant's leaves with a database of stored images of leaves of which the species is known according to claim 8, wherein the said species of rubber tree is of the Hevea group.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| MYPI2012002127 | 2012-05-14 | ||
| MYPI2012002127 | 2012-05-14 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| WO2013172697A1 true WO2013172697A1 (en) | 2013-11-21 |
Family
ID=49584026
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| PCT/MY2013/000096 WO2013172697A1 (en) | 2012-05-14 | 2013-05-10 | Automated identification of plant type using leaf image |
Country Status (2)
| Country | Link |
|---|---|
| MY (1) | MY157031A (en) |
| WO (1) | WO2013172697A1 (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| IL296946A (en) * | 2022-09-29 | 2024-04-01 | C Crop Ltd | Plant phenotyping |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100322477A1 (en) * | 2009-06-04 | 2010-12-23 | Peter Schmitt | Device and method for detecting a plant |
-
2012
- 2012-05-14 MY MYUI2012002127A patent/MY157031A/en unknown
-
2013
- 2013-05-10 WO PCT/MY2013/000096 patent/WO2013172697A1/en active Application Filing
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100322477A1 (en) * | 2009-06-04 | 2010-12-23 | Peter Schmitt | Device and method for detecting a plant |
Non-Patent Citations (2)
| Title |
|---|
| GANG WU, S. ET AL.: "Flavia, A Leaf Recognition Algorithm for Plant Classifiaction using PNN", 29 April 2012 (2012-04-29), Retrieved from the Internet <URL:http://web.archive.org/web/20120429131351> * |
| PEREZ, M.: "LeafSnap iPhone app lets you ID trees with camera", 14 January 2012 (2012-01-14), Retrieved from the Internet <URL:http://web.archive.org/web/20120114083457> [retrieved on 20130704] * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| IL296946A (en) * | 2022-09-29 | 2024-04-01 | C Crop Ltd | Plant phenotyping |
| IL296946B1 (en) * | 2022-09-29 | 2024-05-01 | C Crop Ltd | Plant phenotyping |
Also Published As
| Publication number | Publication date |
|---|---|
| MY157031A (en) | 2016-04-15 |
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