CA3116881A1 - Detecting infection of plant diseases by classifying plant photos - Google Patents
Detecting infection of plant diseases by classifying plant photos Download PDFInfo
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- CA3116881A1 CA3116881A1 CA3116881A CA3116881A CA3116881A1 CA 3116881 A1 CA3116881 A1 CA 3116881A1 CA 3116881 A CA3116881 A CA 3116881A CA 3116881 A CA3116881 A CA 3116881A CA 3116881 A1 CA3116881 A1 CA 3116881A1
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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
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/23—Clustering techniques
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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 OR CALCULATING; 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 OR CALCULATING; 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
- G06N3/0464—Convolutional networks [CNN, ConvNet]
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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
- G06N3/09—Supervised learning
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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 OR CALCULATING; 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
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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 OR CALCULATING; 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 OR CALCULATING; 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 OR CALCULATING; 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)
- Computing Systems (AREA)
- Software Systems (AREA)
- Multimedia (AREA)
- General Engineering & Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Mathematical Physics (AREA)
- Molecular Biology (AREA)
- Computational Linguistics (AREA)
- Biophysics (AREA)
- Biomedical Technology (AREA)
- Chemical & Material Sciences (AREA)
- Databases & Information Systems (AREA)
- Medical Informatics (AREA)
- Biochemistry (AREA)
- Botany (AREA)
- Wood Science & Technology (AREA)
- Medicinal Chemistry (AREA)
- Analytical Chemistry (AREA)
- Food Science & Technology (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Evolutionary Biology (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Image Analysis (AREA)
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US201862748288P | 2018-10-19 | 2018-10-19 | |
| US62/748,288 | 2018-10-19 | ||
| PCT/US2019/057066 WO2020082024A1 (en) | 2018-10-19 | 2019-10-18 | Detecting infection of plant diseases by classifying plant photos |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CA3116881A1 true CA3116881A1 (en) | 2020-04-23 |
Family
ID=70280521
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CA3116881A Pending CA3116881A1 (en) | 2018-10-19 | 2019-10-18 | Detecting infection of plant diseases by classifying plant photos |
Country Status (9)
| Country | Link |
|---|---|
| US (2) | US10761075B2 (https=) |
| EP (1) | EP3867820B1 (https=) |
| JP (1) | JP7362751B2 (https=) |
| CN (1) | CN113228055B (https=) |
| AR (1) | AR116767A1 (https=) |
| AU (1) | AU2019360153B2 (https=) |
| BR (1) | BR112021007321A8 (https=) |
| CA (1) | CA3116881A1 (https=) |
| WO (1) | WO2020082024A1 (https=) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111709489A (zh) * | 2020-06-24 | 2020-09-25 | 广西师范大学 | 一种基于改进YOLOv4的柑橘识别方法 |
| CN116579751A (zh) * | 2023-07-14 | 2023-08-11 | 南京信息工程大学 | 农作物检测数据处理方法及系统 |
Families Citing this family (29)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10109024B2 (en) | 2014-09-05 | 2018-10-23 | The Climate Corporation | Collecting data to generate an agricultural prescription |
| JP7362751B2 (ja) | 2018-10-19 | 2023-10-17 | クライメイト、リミテッド、ライアビリティー、カンパニー | 植物の写真を分類することにより植物病の感染を検出すること |
| US10713542B2 (en) * | 2018-10-24 | 2020-07-14 | The Climate Corporation | Detection of plant diseases with multi-stage, multi-scale deep learning |
| EP3693735A1 (de) * | 2019-02-06 | 2020-08-12 | SpexAI GmbH | Verfahren und vorrichtung zur analyse von pflanzen |
| US11120552B2 (en) * | 2019-02-27 | 2021-09-14 | International Business Machines Corporation | Crop grading via deep learning |
| ES2956846T3 (es) * | 2019-03-04 | 2023-12-29 | Climate Llc | Almacenamiento de datos y dispositivo de transferencia para un sistema de computación de inteligencia agrícola |
| US12560546B2 (en) | 2023-05-25 | 2026-02-24 | Dalhousie University | System, apparatus and method of non-destructively determining petiole nutrient values in near real-time using a portable spectrophotometer |
| US12423659B2 (en) * | 2020-05-05 | 2025-09-23 | Planttagg, Inc. | System and method for horticulture viability prediction and display |
| CN111832462B (zh) * | 2020-07-07 | 2022-07-12 | 四川大学 | 一种基于深度神经网络的跳频信号检测与参数估计方法 |
| CN112365480B (zh) * | 2020-11-13 | 2021-07-16 | 哈尔滨市科佳通用机电股份有限公司 | 制动夹钳装置闸片丢失故障识别方法 |
| EP4248356A1 (en) | 2020-11-20 | 2023-09-27 | Bayer Aktiengesellschaft | Representation learning |
| CN112580703B (zh) * | 2020-12-07 | 2022-07-05 | 昆明理工大学 | 一种三七病害高发期发病率预测方法 |
| CN112766260B (zh) * | 2021-01-15 | 2021-09-14 | 哈尔滨市科佳通用机电股份有限公司 | 铁路列车加速缓解风缸定位的图像识别方法及系统 |
| KR102924195B1 (ko) * | 2021-01-29 | 2026-02-06 | 일루미나, 인코포레이티드 | 프로세스 사이클 이미지의 딥 러닝 기반 근본 원인 분석 |
| CN112562074B (zh) * | 2021-02-25 | 2021-05-04 | 中国建筑西南设计研究院有限公司 | 一种智慧绿地的健康判定方法及养护管理方法 |
| DE102021105274A1 (de) * | 2021-03-04 | 2022-09-08 | Claas E-Systems Gmbh | Verfahren zur Erkennung von Längen eines Partikels |
| CN112614133B (zh) * | 2021-03-05 | 2021-07-06 | 北京小白世纪网络科技有限公司 | 一种无锚点框的三维肺结节检测模型训练方法及装置 |
| CN113379188B (zh) * | 2021-05-06 | 2022-10-25 | 贵州省烟草公司贵阳市公司 | 基于物联网的烟草轮作种植方法和系统 |
| US12481875B2 (en) | 2021-05-31 | 2025-11-25 | Cibo Technologies, Inc. | Method and apparatus for employing deep learning neural network to infer regenerative cover crop practices |
| US12481876B2 (en) | 2021-05-31 | 2025-11-25 | Cibo Technologies, Inc. | Method and apparatus for employing deep learning to infer implementation of regenerative tillage practices |
| US11880430B2 (en) | 2021-05-31 | 2024-01-23 | Cibo Technologies, Inc. | Method and apparatus for employing deep learning neural network to predict management zones |
| US11934489B2 (en) * | 2021-05-31 | 2024-03-19 | Cibo Technologies, Inc. | Method and apparatus for employing deep learning to infer implementation of regenerative irrigation practices |
| CN114120117B (zh) * | 2021-11-19 | 2025-08-29 | 杭州睿胜软件有限公司 | 植物病症诊断信息的显示方法、显示系统及可读存储介质 |
| US20230186623A1 (en) * | 2021-12-14 | 2023-06-15 | Ping An Technology (Shenzhen) Co., Ltd. | Systems and methods for crop disease diagnosis |
| DE102022105448A1 (de) | 2022-03-08 | 2023-09-14 | Claas E-Systems Gmbh | Computerimplementiertes Verfahren und System zur Bestimmung von Pflanzenkrankheiten |
| CN114638959B (zh) * | 2022-03-21 | 2025-03-07 | 西北农林科技大学 | 一种基于卷积神经网络的苹果叶部病害诊断方法 |
| CN116584472B (zh) * | 2023-07-13 | 2023-10-27 | 四川省农业机械科学研究院 | 一种基于多级控制的脆李喷药方法和系统 |
| WO2025097248A1 (en) * | 2023-11-07 | 2025-05-15 | Ground Truth Agriculture Inc. | Edge device for categorizing and selecting field image data for transmission to a central server |
| CN117557914B (zh) * | 2024-01-08 | 2024-04-02 | 成都大学 | 一种基于深度学习的农作物病虫害识别方法 |
Family Cites Families (24)
| Publication number | Priority date | Publication date | Assignee | Title |
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| JP3468877B2 (ja) * | 1994-10-27 | 2003-11-17 | 矢崎総業株式会社 | 植物の自動診断方法及び装置 |
| US8078367B2 (en) | 2007-01-08 | 2011-12-13 | Precision Planting, Inc. | Planter monitor system and method |
| WO2009149396A1 (en) | 2008-06-06 | 2009-12-10 | Monsanto Technology Llc | Generating agricultural information products using remote sensing |
| US8477295B2 (en) | 2009-05-07 | 2013-07-02 | Solum, Inc. | Automated soil measurement device |
| TWI435234B (zh) * | 2011-11-24 | 2014-04-21 | 財團法人資訊工業策進會 | Plant disease identification method, system and record media |
| JP5965668B2 (ja) | 2012-02-27 | 2016-08-10 | 株式会社Ｎｔｔファシリティーズ | 植物栽培システム、植物栽培方法及びプログラム |
| WO2013149038A1 (en) * | 2012-03-28 | 2013-10-03 | University Of Houston System | Methods and software for screening and diagnosing skin lesions and plant diseases |
| CA2879731C (en) | 2012-07-25 | 2021-04-20 | Precision Planting Llc | Systems, methods and apparatus for multi-row agricultural implement control and monitoring |
| US10234439B2 (en) * | 2012-11-07 | 2019-03-19 | Airscout Inc. | Methods and systems for analyzing a field |
| CN103778428B (zh) * | 2014-01-10 | 2017-04-05 | 北京农业信息技术研究中心 | 基于块标记的病害感兴趣区域提取方法及系统 |
| JP6260824B2 (ja) | 2014-04-21 | 2018-01-17 | パナソニックＩｐマネジメント株式会社 | 栽培支援方法、栽培支援装置、およびコンピュータプログラム |
| BR112017003678B1 (pt) | 2014-08-22 | 2023-04-18 | The Climate Corporation | Método e sistema para monitoramento agronômico e agrícola |
| JP6539901B2 (ja) | 2015-03-09 | 2019-07-10 | 学校法人法政大学 | 植物病診断システム、植物病診断方法、及びプログラム |
| CA3170896A1 (en) | 2015-04-29 | 2016-11-03 | Climate Llc | Systems, methods, and devices for monitoring weather and field conditions |
| AU2015394080B2 (en) | 2015-05-01 | 2018-11-08 | Hitachi, Ltd. | Farm field management apparatus, farm field management method, and storage medium |
| KR101933657B1 (ko) | 2016-11-11 | 2019-04-05 | 전북대학교산학협력단 | 딥 러닝을 이용한 작물 병충해 검출 및 진단 방법 및 장치 |
| CN106599939A (zh) * | 2016-12-30 | 2017-04-26 | 深圳市唯特视科技有限公司 | 一种基于区域卷积神经网络的实时目标检测方法 |
| US10147200B2 (en) * | 2017-03-21 | 2018-12-04 | Axis Ab | Quality measurement weighting of image objects |
| CN107358596B (zh) | 2017-04-11 | 2020-09-18 | 阿里巴巴集团控股有限公司 | 一种基于图像的车辆定损方法、装置、电子设备及系统 |
| US10423850B2 (en) * | 2017-10-05 | 2019-09-24 | The Climate Corporation | Disease recognition from images having a large field of view |
| CN108596017A (zh) | 2018-03-06 | 2018-09-28 | 深圳市农博创新科技有限公司 | 一种基于图片识别果蔬病害的方法及装置 |
| US20190304102A1 (en) * | 2018-03-30 | 2019-10-03 | Qualcomm Incorporated | Memory efficient blob based object classification in video analytics |
| CN108541683A (zh) * | 2018-04-18 | 2018-09-18 | 济南浪潮高新科技投资发展有限公司 | 一种基于卷积神经网络芯片的无人机农药喷洒系统 |
| JP7362751B2 (ja) | 2018-10-19 | 2023-10-17 | クライメイト、リミテッド、ライアビリティー、カンパニー | 植物の写真を分類することにより植物病の感染を検出すること |
-
2019
- 2019-10-18 JP JP2021547040A patent/JP7362751B2/ja active Active
- 2019-10-18 AR ARP190102983A patent/AR116767A1/es active IP Right Grant
- 2019-10-18 BR BR112021007321A patent/BR112021007321A8/pt unknown
- 2019-10-18 EP EP19873341.2A patent/EP3867820B1/en active Active
- 2019-10-18 CN CN201980084804.5A patent/CN113228055B/zh active Active
- 2019-10-18 US US16/658,021 patent/US10761075B2/en active Active
- 2019-10-18 CA CA3116881A patent/CA3116881A1/en active Pending
- 2019-10-18 WO PCT/US2019/057066 patent/WO2020082024A1/en not_active Ceased
- 2019-10-18 AU AU2019360153A patent/AU2019360153B2/en active Active
-
2020
- 2020-08-26 US US17/003,914 patent/US11852618B2/en active Active
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111709489A (zh) * | 2020-06-24 | 2020-09-25 | 广西师范大学 | 一种基于改进YOLOv4的柑橘识别方法 |
| CN111709489B (zh) * | 2020-06-24 | 2022-04-08 | 广西师范大学 | 一种基于改进YOLOv4的柑橘识别方法 |
| CN116579751A (zh) * | 2023-07-14 | 2023-08-11 | 南京信息工程大学 | 农作物检测数据处理方法及系统 |
| CN116579751B (zh) * | 2023-07-14 | 2023-09-08 | 南京信息工程大学 | 农作物检测数据处理方法及系统 |
Also Published As
| Publication number | Publication date |
|---|---|
| AU2019360153A1 (en) | 2021-05-20 |
| BR112021007321A2 (pt) | 2021-07-20 |
| AR116767A1 (es) | 2021-06-09 |
| EP3867820B1 (en) | 2026-03-04 |
| JP7362751B2 (ja) | 2023-10-17 |
| US10761075B2 (en) | 2020-09-01 |
| CN113228055A (zh) | 2021-08-06 |
| US11852618B2 (en) | 2023-12-26 |
| AU2019360153B2 (en) | 2025-01-23 |
| EP3867820A1 (en) | 2021-08-25 |
| JP2022508939A (ja) | 2022-01-19 |
| US20200393435A1 (en) | 2020-12-17 |
| CN113228055B (zh) | 2024-04-12 |
| US20200124581A1 (en) | 2020-04-23 |
| WO2020082024A1 (en) | 2020-04-23 |
| EP3867820A4 (en) | 2022-08-03 |
| BR112021007321A8 (pt) | 2022-11-08 |
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