BR112021022829A2 - Método implementado por computador, produto de programa de computador e sistema de computador - Google Patents

Método implementado por computador, produto de programa de computador e sistema de computador

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Publication number
BR112021022829A2
BR112021022829A2 BR112021022829A BR112021022829A BR112021022829A2 BR 112021022829 A2 BR112021022829 A2 BR 112021022829A2 BR 112021022829 A BR112021022829 A BR 112021022829A BR 112021022829 A BR112021022829 A BR 112021022829A BR 112021022829 A2 BR112021022829 A2 BR 112021022829A2
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BR
Brazil
Prior art keywords
computer
neural network
convolutional neural
program product
implemented method
Prior art date
Application number
BR112021022829A
Other languages
English (en)
Inventor
Aitor Alvarez-Gila
Alexander Johannes
Maria Ortiz Barredo Amaia
Artzai Picon
Echazarra Huguet Jone
Matthias Nachtmann
Maximilian Seitz
Patrick Mohnke
Ramon Navarra-Mestre
Till Eggers
Original Assignee
Basf Se
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Publication date
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First worldwide family litigation filed litigation Critical https://patents.darts-ip.com/?family=66589337&utm_source=google_patent&utm_medium=platform_link&utm_campaign=public_patent_search&patent=BR112021022829(A2) "Global patent litigation dataset” by Darts-ip is licensed under a Creative Commons Attribution 4.0 International License.
Application filed by Basf Se filed Critical Basf Se
Publication of BR112021022829A2 publication Critical patent/BR112021022829A2/pt

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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
    • G06V10/764—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
    • 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
    • G06N3/048—Activation functions
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0012—Biomedical image inspection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • 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
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20081—Training; Learning
    • 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
    • G06T2207/20—Special algorithmic details
    • G06T2207/20084—Artificial neural networks [ANN]
    • 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

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Evolutionary Computation (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Multimedia (AREA)
  • Medical Informatics (AREA)
  • Software Systems (AREA)
  • Computing Systems (AREA)
  • Artificial Intelligence (AREA)
  • Databases & Information Systems (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Radiology & Medical Imaging (AREA)
  • Quality & Reliability (AREA)
  • Data Mining & Analysis (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Molecular Biology (AREA)
  • General Engineering & Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Measuring Or Testing Involving Enzymes Or Micro-Organisms (AREA)
  • Image Analysis (AREA)
  • Pretreatment Of Seeds And Plants (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

método implementado por computador, produto de programa de computador e sistema de computador. um método implementado por computador, produto de programa de computador e sistema de computador (100) para detectar doenças em plantas. o sistema armazena uma rede neural convolucional (120) treinada com um conjunto de dados de múltiplas colheitas. a rede neural convolucional (120) tem uma topologia estendida que compreende uma ramificação de imagem (121) com base em uma rede neural convolucional de classificação para classificar as imagens de entrada de acordo com características específicas de doenças de plantas, uma ramificação de identificação de colheita (122) para adicionar informação de espécies de plantas, e um integrador de ramificação para integrar a informação das espécies de plantas com cada imagem de entrada. a informação das espécies de plantas (20) especifica a colheita na respectiva imagem de entrada (10). o sistema recebe uma entrada de teste que compreende uma imagem (10) de uma colheita específica (1) mostrando um ou mais sintomas de doenças de plantas particulares e recebe ainda um identificador de colheita respectivo (20) associado à entrada de teste por meio de uma interface (110). um módulo classificador (130) do sistema aplica a rede convolucional treinada (120) à entrada de teste recebida e fornece um resultado de classificação (cr1) de acordo com o vetor de saída da rede neural convolucional (120). o resultado de classificação (cr1) indica uma ou mais doenças de plantas associadas a um ou mais sintomas específicos de doenças de plantas.
BR112021022829A 2019-05-16 2020-05-14 Método implementado por computador, produto de programa de computador e sistema de computador BR112021022829A2 (pt)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
EP19174907.6A EP3739504A1 (en) 2019-05-16 2019-05-16 System and method for plant disease detection support
PCT/EP2020/063428 WO2020229585A1 (en) 2019-05-16 2020-05-14 System and method for plant disease detection support

Publications (1)

Publication Number Publication Date
BR112021022829A2 true BR112021022829A2 (pt) 2021-12-28

Family

ID=66589337

Family Applications (1)

Application Number Title Priority Date Filing Date
BR112021022829A BR112021022829A2 (pt) 2019-05-16 2020-05-14 Método implementado por computador, produto de programa de computador e sistema de computador

Country Status (8)

Country Link
US (1) US20220230305A1 (pt)
EP (2) EP3739504A1 (pt)
JP (1) JP2022533820A (pt)
CN (1) CN114072853A (pt)
BR (1) BR112021022829A2 (pt)
CA (1) CA3140489A1 (pt)
PL (1) PL3754543T3 (pt)
WO (1) WO2020229585A1 (pt)

Families Citing this family (20)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11423678B2 (en) 2019-09-23 2022-08-23 Proscia Inc. Automated whole-slide image classification using deep learning
EP4200674A4 (en) * 2020-09-23 2024-03-20 Proscia Inc CRITICAL COMPONENT DETECTION USING DEEP LEARNING AND DEEP ATTENTION
US20220148189A1 (en) * 2020-11-10 2022-05-12 Nec Laboratories America, Inc. Multi-domain semantic segmentation with label shifts
CN112365514A (zh) * 2020-12-09 2021-02-12 辽宁科技大学 基于改进PSPNet的语义分割方法
CN112966550B (zh) * 2021-01-28 2022-03-11 广东技术师范大学 基于植株识别模型的黄龙病防治方法、装置和计算机设备
CN113158754A (zh) * 2021-02-04 2021-07-23 安徽农业大学 一种番茄病害图像识别方法
CN113052251A (zh) * 2021-03-31 2021-06-29 青岛农业大学 一种基于深度学习的红掌生长指标获取方法
CN112990341B (zh) * 2021-04-02 2022-08-02 中国科学院宁波材料技术与工程研究所 基于深度学习的多特征联合的植物线虫检测方法及系统
CN113391582B (zh) * 2021-06-04 2024-02-27 北京工业大学 一种用于农林业病虫害和小气候气象信息远程监测的方法
CN113435282B (zh) * 2021-06-18 2021-12-21 南京农业大学 基于深度学习的无人机影像麦穗识别方法
CN113780461B (zh) * 2021-09-23 2022-08-05 中国人民解放军国防科技大学 基于特征匹配的鲁棒神经网络训练方法
CN114170137B (zh) * 2021-11-05 2023-07-04 成都理工大学 一种辣椒病害识别方法、识别系统、计算机可读存储介质
TR2021019195A2 (tr) * 2021-12-06 2021-12-21 Mehmet Isilar Hastalik, zararli ve yabanci ot mücadelesi̇nde yapay zekâ tabanli tahmi̇n karar destek si̇stemi̇
US20230186623A1 (en) * 2021-12-14 2023-06-15 Ping An Technology (Shenzhen) Co., Ltd. Systems and methods for crop disease diagnosis
WO2023180176A1 (en) * 2022-03-25 2023-09-28 Basf Agro Trademarks Gmbh Hybrid model to optimize the fungicide application schedule
CN114972852A (zh) * 2022-05-12 2022-08-30 中国农业大学 一种植物叶部多种病害检测方法及相关设备
WO2024061802A1 (de) 2022-09-22 2024-03-28 Bayer Aktiengesellschaft Zielgenaue applikation von flüssigkeiten in einem feld für kulturpflanzen
CN115661544B (zh) * 2022-11-08 2024-04-05 吉林农业大学 基于N-MobileNetXt的菠菜幼苗水分胁迫等级分类系统及方法
CN116310391B (zh) * 2023-05-18 2023-08-15 安徽大学 一种用于茶叶病害的识别方法
CN117708761B (zh) * 2024-02-06 2024-05-03 四川省亿尚农业旅游开发有限公司 一种融合多指标环境条件的朱顶红育苗系统及方法

Also Published As

Publication number Publication date
JP2022533820A (ja) 2022-07-26
EP3739504A1 (en) 2020-11-18
PL3754543T3 (pl) 2022-08-01
CN114072853A (zh) 2022-02-18
US20220230305A1 (en) 2022-07-21
EP3754543B1 (en) 2022-04-06
CA3140489A1 (en) 2020-11-19
WO2020229585A1 (en) 2020-11-19
EP3754543A1 (en) 2020-12-23

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