AR113283A1 - Reconocimiento de enfermedades a partir de imágenes que tienen un campo de visión amplio - Google Patents

Reconocimiento de enfermedades a partir de imágenes que tienen un campo de visión amplio

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Publication number
AR113283A1
AR113283A1 ARP180102889A ARP180102889A AR113283A1 AR 113283 A1 AR113283 A1 AR 113283A1 AR P180102889 A ARP180102889 A AR P180102889A AR P180102889 A ARP180102889 A AR P180102889A AR 113283 A1 AR113283 A1 AR 113283A1
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AR
Argentina
Prior art keywords
model
images
identify
disease
vision
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Application number
ARP180102889A
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English (en)
Inventor
Wei Guan
Yaqi Chen
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Climate Corp
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Application filed by Climate Corp filed Critical Climate Corp
Publication of AR113283A1 publication Critical patent/AR113283A1/es

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/02—Agriculture; Fishing; Forestry; Mining
    • C—CHEMISTRY; METALLURGY
    • C12—BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
    • C12N—MICROORGANISMS OR ENZYMES; COMPOSITIONS THEREOF; PROPAGATING, PRESERVING, OR MAINTAINING MICROORGANISMS; MUTATION OR GENETIC ENGINEERING; CULTURE MEDIA
    • C12N15/00—Mutation or genetic engineering; DNA or RNA concerning genetic engineering, vectors, e.g. plasmids, or their isolation, preparation or purification; Use of hosts therefor
    • C12N15/09—Recombinant DNA-technology
    • C12N15/63—Introduction of foreign genetic material using vectors; Vectors; Use of hosts therefor; Regulation of expression
    • C12N15/79—Vectors or expression systems specially adapted for eukaryotic hosts
    • C12N15/82—Vectors or expression systems specially adapted for eukaryotic hosts for plant cells, e.g. plant artificial chromosomes (PACs)
    • C12N15/8241—Phenotypically and genetically modified plants via recombinant DNA technology
    • C12N15/8261—Phenotypically and genetically modified plants via recombinant DNA technology with agronomic (input) traits, e.g. crop yield
    • C12N15/8271—Phenotypically and genetically modified plants via recombinant DNA technology with agronomic (input) traits, e.g. crop yield for stress resistance, e.g. heavy metal resistance
    • C12N15/8279—Phenotypically and genetically modified plants via recombinant DNA technology with agronomic (input) traits, e.g. crop yield for stress resistance, e.g. heavy metal resistance for biotic stress resistance, pathogen resistance, disease resistance
    • C12N15/8281—Phenotypically and genetically modified plants via recombinant DNA technology with agronomic (input) traits, e.g. crop yield for stress resistance, e.g. heavy metal resistance for biotic stress resistance, pathogen resistance, disease resistance for bacterial resistance
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G06F18/2411—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on the proximity to a decision surface, e.g. support vector machines
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G06F18/2413—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on distances to training or reference patterns
    • G06F18/24133—Distances to prototypes
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/50—Extraction of image or video features by performing operations within image blocks; by using histograms, e.g. histogram of oriented gradients [HoG]; by summing image-intensity values; Projection analysis
    • 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
    • G06V10/764—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
    • 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
    • G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/10—Terrestrial scenes
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84—Systems specially adapted for particular applications
    • G01N2021/8466—Investigation of vegetal material, e.g. leaves, plants, fruits
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30181—Earth observation
    • G06T2207/30188—Vegetation; Agriculture

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Evolutionary Computation (AREA)
  • Multimedia (AREA)
  • Genetics & Genomics (AREA)
  • General Health & Medical Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Artificial Intelligence (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Computing Systems (AREA)
  • Software Systems (AREA)
  • Medical Informatics (AREA)
  • Databases & Information Systems (AREA)
  • Business, Economics & Management (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Biotechnology (AREA)
  • Zoology (AREA)
  • Organic Chemistry (AREA)
  • Chemical & Material Sciences (AREA)
  • Wood Science & Technology (AREA)
  • Biomedical Technology (AREA)
  • Molecular Biology (AREA)
  • General Business, Economics & Management (AREA)
  • Mining & Mineral Resources (AREA)
  • Marine Sciences & Fisheries (AREA)
  • Animal Husbandry (AREA)
  • Human Resources & Organizations (AREA)
  • Economics (AREA)
  • Marketing (AREA)
  • Strategic Management (AREA)
  • Agronomy & Crop Science (AREA)
  • Tourism & Hospitality (AREA)
  • Primary Health Care (AREA)

Abstract

Se divulga un sistema informático, y métodos implementados por computadora relacionados, para reconocer enfermedades de los cultivos a partir de imágenes con campo de visión (FoV) grande. En algunas formas de realización, el sistema informático está configurado para construir inicialmente un primer modelo digital en una memoria para identificar una región que captura una hoja, y un segundo modelo para identificar una región que captura una hoja infectada con una enfermedad. Dada una imagen con FoV grande, bajo el control del programa, el sistema está programado para identificar entonces automáticamente las regiones candidatas que podrían capturar las hojas individuales de la imagen con FoV grande usando el primer modelo. El sistema está programado para determinar además si las regiones candidatas capturan los síntomas de una enfermedad del cultivo en hojas individuales utilizando el segundo modelo.
ARP180102889A 2017-10-05 2018-10-05 Reconocimiento de enfermedades a partir de imágenes que tienen un campo de visión amplio AR113283A1 (es)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
US15/725,284 US10423850B2 (en) 2017-10-05 2017-10-05 Disease recognition from images having a large field of view

Publications (1)

Publication Number Publication Date
AR113283A1 true AR113283A1 (es) 2020-03-11

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ARP180102889A AR113283A1 (es) 2017-10-05 2018-10-05 Reconocimiento de enfermedades a partir de imágenes que tienen un campo de visión amplio

Country Status (9)

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US (2) US10423850B2 (es)
EP (1) EP3692468A4 (es)
CN (2) CN111406261B (es)
AR (1) AR113283A1 (es)
AU (1) AU2018346351B2 (es)
BR (1) BR112020006760A2 (es)
CA (1) CA3078119C (es)
WO (1) WO2019070963A1 (es)
ZA (1) ZA202002225B (es)

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US10423850B2 (en) 2019-09-24
WO2019070963A1 (en) 2019-04-11
EP3692468A1 (en) 2020-08-12
CN113486846A (zh) 2021-10-08
CA3078119C (en) 2020-10-13
CN111406261A (zh) 2020-07-10
CN111406261B (zh) 2021-08-10
AU2018346351A1 (en) 2020-04-30
BR112020006760A2 (pt) 2020-10-06
CN113486846B (zh) 2022-10-18
ZA202002225B (en) 2021-05-26
US10755129B2 (en) 2020-08-25
US20190384998A1 (en) 2019-12-19
AU2018346351B2 (en) 2020-09-03
US20190108413A1 (en) 2019-04-11
EP3692468A4 (en) 2021-06-30
CA3078119A1 (en) 2018-10-04

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