JPWO2023170975A1 - - Google Patents

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Publication number
JPWO2023170975A1
JPWO2023170975A1 JP2024505856A JP2024505856A JPWO2023170975A1 JP WO2023170975 A1 JPWO2023170975 A1 JP WO2023170975A1 JP 2024505856 A JP2024505856 A JP 2024505856A JP 2024505856 A JP2024505856 A JP 2024505856A JP WO2023170975 A1 JPWO2023170975 A1 JP WO2023170975A1
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JP
Japan
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
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Application number
JP2024505856A
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Japanese (ja)
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JP7768344B2 (ja
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Publication of JPWO2023170975A1 publication Critical patent/JPWO2023170975A1/ja
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Publication of JP7768344B2 publication Critical patent/JP7768344B2/ja
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Classifications

    • 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 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
    • G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/774—Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting
    • 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
    • G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/776—Validation; Performance evaluation
    • 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
    • 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
    • A—HUMAN NECESSITIES
    • A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01G—HORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
    • A01G7/00—Botany in general
    • 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 OR CALCULATING; 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
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/70—Labelling scene content, e.g. deriving syntactic or semantic representations

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Evolutionary Computation (AREA)
  • General Health & Medical Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Computing Systems (AREA)
  • Databases & Information Systems (AREA)
  • Medical Informatics (AREA)
  • Software Systems (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Artificial Intelligence (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Botany (AREA)
  • Wood Science & Technology (AREA)
  • Food Science & Technology (AREA)
  • Medicinal Chemistry (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Image Analysis (AREA)
  • Image Processing (AREA)
JP2024505856A 2022-03-11 2022-03-11 学習方法、葉状態識別装置、およびプログラム Active JP7768344B2 (ja)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/JP2022/011125 WO2023170975A1 (ja) 2022-03-11 2022-03-11 学習方法、葉状態識別装置、およびプログラム

Publications (2)

Publication Number Publication Date
JPWO2023170975A1 true JPWO2023170975A1 (https=) 2023-09-14
JP7768344B2 JP7768344B2 (ja) 2025-11-12

Family

ID=87936407

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2024505856A Active JP7768344B2 (ja) 2022-03-11 2022-03-11 学習方法、葉状態識別装置、およびプログラム

Country Status (5)

Country Link
US (1) US20250182462A1 (https=)
EP (1) EP4471705A4 (https=)
JP (1) JP7768344B2 (https=)
CN (1) CN118714921A (https=)
WO (1) WO2023170975A1 (https=)

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2022024165A1 (ja) * 2020-07-27 2022-02-03 日本電気株式会社 情報処理装置、情報処理方法、及び、記録媒体
WO2022050078A1 (ja) * 2020-09-07 2022-03-10 富士フイルム株式会社 学習データ作成装置、方法及びプログラム、機械学習装置及び方法、学習モデル及び画像処理装置

Family Cites Families (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102214306B (zh) * 2011-06-16 2013-01-30 中国农业大学 叶片病斑识别方法及装置
JP2013005726A (ja) * 2011-06-22 2013-01-10 Nikon Corp 情報提供システム、情報提供装置、情報提供方法及びプログラム
KR20190046841A (ko) * 2016-09-07 2019-05-07 봇슈 가부시키가이샤 정보 처리 장치 및 정보 처리 시스템
CN106951826B (zh) * 2017-02-14 2019-09-20 清华大学 人脸检测方法及装置
JP2018134051A (ja) * 2017-02-23 2018-08-30 大学共同利用機関法人情報・システム研究機構 情報処理装置、情報処理方法及び情報処理プログラム
CN111178121B (zh) * 2018-12-25 2023-04-07 中国科学院合肥物质科学研究院 基于空间特征和深度特征强化技术的害虫图像定位识别方法
JP6848998B2 (ja) * 2019-03-06 2021-03-24 日本電気株式会社 学習システム、学習方法及び学習プログラム
CN110188657A (zh) * 2019-05-27 2019-08-30 中国农业科学院农业资源与农业区划研究所 基于卷曲叶片检测的玉米干旱识别方法
JP7509415B2 (ja) * 2019-09-02 2024-07-02 国立研究開発法人農業・食品産業技術総合研究機構 分類装置、学習装置、分類方法、学習方法、制御プログラム及び記録媒体
EP3798899A1 (en) * 2019-09-30 2021-03-31 Basf Se Quantifying plant infestation by estimating the number of insects on leaves, by convolutional neural networks that provide density maps
CN111079576B (zh) * 2019-11-30 2023-07-28 腾讯科技（深圳）有限公司 活体检测方法、装置、设备及存储介质
JP7757028B2 (ja) * 2020-01-16 2025-10-21 横河電機株式会社 支援システム、及び支援方法
CN112052836B (zh) * 2020-10-09 2024-01-26 南京农业大学 一种植物叶片气孔开闭状态的实时监测系统及方法
CN112597907B (zh) * 2020-12-25 2024-11-22 四川工商学院 基于深度学习的柑橘红蜘蛛虫害的识别方法
CN113627258B (zh) * 2021-07-12 2023-09-26 河南理工大学 一种苹果叶部病理检测方法

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2022024165A1 (ja) * 2020-07-27 2022-02-03 日本電気株式会社 情報処理装置、情報処理方法、及び、記録媒体
WO2022050078A1 (ja) * 2020-09-07 2022-03-10 富士フイルム株式会社 学習データ作成装置、方法及びプログラム、機械学習装置及び方法、学習モデル及び画像処理装置

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
川崎雄介: "植物病害自動診断に向けた葉領域検出および病変認識手法の提案", 法政大学大学院理工学・工学研究科紀要, vol. ５８, JPN6025029621, 31 March 2017 (2017-03-31), JP, pages 1 - 4, ISSN: 0005646523 *

Also Published As

Publication number Publication date
US20250182462A1 (en) 2025-06-05
EP4471705A4 (en) 2025-07-23
CN118714921A (zh) 2024-09-27
JP7768344B2 (ja) 2025-11-12
WO2023170975A1 (ja) 2023-09-14
EP4471705A1 (en) 2024-12-04

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