AR116767A1 - Detección de infecciones de enfermedades de plantas mediante la clasificación de fotografías de plantas - Google Patents

Detección de infecciones de enfermedades de plantas mediante la clasificación de fotografías de plantas

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Publication number
AR116767A1
AR116767A1 ARP190102983A ARP190102983A AR116767A1 AR 116767 A1 AR116767 A1 AR 116767A1 AR P190102983 A ARP190102983 A AR P190102983A AR P190102983 A ARP190102983 A AR P190102983A AR 116767 A1 AR116767 A1 AR 116767A1
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AR
Argentina
Prior art keywords
marked
plants
ssd
programmed
photographs
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ARP190102983A
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English (en)
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Wei Guan
Yichuan Gui
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Climate Corp
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Publication of AR116767A1 publication Critical patent/AR116767A1/es

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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/0098—Plants or trees
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/23—Clustering techniques
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/243—Classification techniques relating to the number of classes
    • G06F18/2431—Multiple classes
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • 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
    • G06V20/188—Vegetation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/35—Categorising the entire scene, e.g. birthday party or wedding scene
    • G06V20/38—Outdoor scenes
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/004—Artificial life, i.e. computing arrangements simulating life
    • G06N3/006—Artificial life, i.e. computing arrangements simulating life based on simulated virtual individual or collective life forms, e.g. social simulations or particle swarm optimisation [PSO]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/12—Computing arrangements based on biological models using genetic models
    • G06N3/126—Evolutionary algorithms, e.g. genetic algorithms or genetic programming

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Data Mining & Analysis (AREA)
  • Multimedia (AREA)
  • Computing Systems (AREA)
  • Software Systems (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Engineering & Computer Science (AREA)
  • Chemical & Material Sciences (AREA)
  • Databases & Information Systems (AREA)
  • Medical Informatics (AREA)
  • Molecular Biology (AREA)
  • Mathematical Physics (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • Wood Science & Technology (AREA)
  • Botany (AREA)
  • Food Science & Technology (AREA)
  • Medicinal Chemistry (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Image Analysis (AREA)

Abstract

Se divulga un sistema y métodos de procesamiento para la configuración y el uso de una red neuronal convolucional (CNN) para el reconocimiento de enfermedades en plantas. En algunas materializaciones, el sistema se programa para recolectar fotografías de plantas u hojas infectadas donde se marcan las zonas que muestran síntomas de enfermedades infecciosas. Cada fotografía puede tener varias zonas marcadas. Conforma a cómo se agrupan o al tamaño de los síntomas, una zona marcada puede incluir solo una lesión causada por una enfermedad, mientras que otra puede incluir varias lesiones cercanas entre sí y causadas por una enfermedad. El sistema está programado para determinar cajas de anclaje que tienen distintas proporciones de aspecto de aquellas zonas marcadas para cada capa convolucional de una multicaja de detección de disparo único (SSD). Para ciertos tipos de plantas, las enfermedades comunes llevan a relativamente varias proporciones de aspecto, algunas de las cuales tienen valores relativamente extremos. El sistema está programado para entrenar luego a la SSD utilizando las zonas marcadas y las cajas de anclaje y aplicar la SSD a nuevas fotografías para identificar a las plantas enfermas.
ARP190102983A 2018-10-19 2019-10-18 Detección de infecciones de enfermedades de plantas mediante la clasificación de fotografías de plantas AR116767A1 (es)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
US201862748288P 2018-10-19 2018-10-19

Publications (1)

Publication Number Publication Date
AR116767A1 true AR116767A1 (es) 2021-06-09

Family

ID=70280521

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Application Number Title Priority Date Filing Date
ARP190102983A AR116767A1 (es) 2018-10-19 2019-10-18 Detección de infecciones de enfermedades de plantas mediante la clasificación de fotografías de plantas

Country Status (9)

Country Link
US (2) US10761075B2 (es)
EP (1) EP3867820A4 (es)
JP (1) JP7362751B2 (es)
CN (1) CN113228055B (es)
AR (1) AR116767A1 (es)
AU (1) AU2019360153A1 (es)
BR (1) BR112021007321A8 (es)
CA (1) CA3116881A1 (es)
WO (1) WO2020082024A1 (es)

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CN113228055B (zh) 2024-04-12
CA3116881A1 (en) 2020-04-23
US11852618B2 (en) 2023-12-26
EP3867820A4 (en) 2022-08-03
US20200393435A1 (en) 2020-12-17
EP3867820A1 (en) 2021-08-25
CN113228055A (zh) 2021-08-06
JP2022508939A (ja) 2022-01-19
US10761075B2 (en) 2020-09-01
US20200124581A1 (en) 2020-04-23
WO2020082024A1 (en) 2020-04-23
BR112021007321A8 (pt) 2022-11-08
BR112021007321A2 (pt) 2021-07-20
AU2019360153A1 (en) 2021-05-20
JP7362751B2 (ja) 2023-10-17

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