PL3754543T3 - System i sposób wspomagający wykrywanie chorób roślin - Google Patents
System i sposób wspomagający wykrywanie chorób roślinInfo
- Publication number
- PL3754543T3 PL3754543T3 PL20174784.7T PL20174784T PL3754543T3 PL 3754543 T3 PL3754543 T3 PL 3754543T3 PL 20174784 T PL20174784 T PL 20174784T PL 3754543 T3 PL3754543 T3 PL 3754543T3
- Authority
- PL
- Poland
- Prior art keywords
- plant disease
- detection support
- disease detection
- support
- plant
- Prior art date
Links
Classifications
-
- 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
- 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 OR CALCULATING; 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 OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
-
- 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
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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 OR CALCULATING; 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 OR CALCULATING; 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)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Pretreatment Of Seeds And Plants (AREA)
Applications Claiming Priority (1)
| 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 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| PL3754543T3 true PL3754543T3 (pl) | 2022-08-01 |
Family
ID=66589337
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| PL20174784.7T PL3754543T3 (pl) | 2019-05-16 | 2020-05-14 | System i sposób wspomagający wykrywanie chorób roślin |
Country Status (8)
| Country | Link |
|---|---|
| US (1) | US12148197B2 (pl) |
| EP (2) | EP3739504A1 (pl) |
| JP (1) | JP7562567B2 (pl) |
| CN (1) | CN114072853A (pl) |
| BR (1) | BR112021022829A2 (pl) |
| CA (1) | CA3140489A1 (pl) |
| PL (1) | PL3754543T3 (pl) |
| WO (1) | WO2020229585A1 (pl) |
Families Citing this family (41)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11462032B2 (en) | 2019-09-23 | 2022-10-04 | Proscia Inc. | Stain normalization for automated whole-slide image classification |
| IL301593B2 (en) * | 2020-09-23 | 2024-07-01 | Proscia Inc | Critical component detection using deep learning and attention |
| US12045992B2 (en) * | 2020-11-10 | 2024-07-23 | Nec Corporation | 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 |
| CN113158754B (zh) * | 2021-02-04 | 2024-07-02 | 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 |
| CN113096100B (zh) * | 2021-04-15 | 2023-08-22 | 杭州睿胜软件有限公司 | 用于植物病症诊断的方法和植物病症诊断系统 |
| US20220375239A1 (en) * | 2021-05-20 | 2022-11-24 | Vishnu Agarwal | System and methods to optimize yield in indoor farming |
| 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 |
| CN114359578A (zh) * | 2021-12-31 | 2022-04-15 | 深圳市熠摄科技有限公司 | 病虫害识别智能终端应用方法及系统 |
| EP4500416A1 (en) * | 2022-03-25 | 2025-02-05 | BASF Agro Trademarks GmbH | Hybrid model to optimize the fungicide application schedule |
| CN114973024B (zh) * | 2022-04-15 | 2024-11-01 | 石河子大学 | 一种机采棉脱叶效果综合评价指标监测与评价方法及系统 |
| 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 |
| EP4590121A1 (de) | 2022-09-22 | 2025-07-30 | Bayer Aktiengesellschaft | Zielgenaue applikation von flüssigkeiten in einem feld für kulturpflanzen |
| CN115661476A (zh) * | 2022-10-28 | 2023-01-31 | 华智生物技术有限公司 | 一种水稻病害识别方法、系统、设备及存储介质 |
| 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 |
| CN116228194A (zh) * | 2022-12-30 | 2023-06-06 | 杭州睿胜软件有限公司 | 用于辅助用户进行植物养护的方法及装置 |
| CN116645599A (zh) * | 2023-04-27 | 2023-08-25 | 河南工业大学 | 一种轻量级多尺度cnn模型的小麦病害检测方法 |
| 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 |
| CN116630803B (zh) * | 2023-05-26 | 2025-09-16 | 南京林业大学 | 基于深度学习的番茄病虫害检测与识别方法 |
| WO2024254636A1 (en) * | 2023-06-13 | 2024-12-19 | Commonwealth Scientific And Industrial Research Organisation | Scanner for insect damage |
| CN117173446B (zh) * | 2023-06-26 | 2024-10-29 | 北京百度网讯科技有限公司 | 图像分类与训练方法、装置、电子设备和存储介质 |
| 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 |
| CN117876843B (zh) * | 2024-01-11 | 2024-07-05 | 安徽大学 | 一种具有动态降低图像冗余的高效农作物病害识别方法 |
| WO2025149480A1 (de) | 2024-01-12 | 2025-07-17 | Bayer Aktiengesellschaft | Zielgenaue applikation von flüssigkeiten auf ein zielobjekt in einem landwirtschaftlichen feld |
| EP4585043A1 (de) | 2024-01-12 | 2025-07-16 | Bayer Aktiengesellschaft | Zielgenaue applikation von flüssigkeiten auf ein zielobjekt in einem landwirtschaftlichen feld |
| 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 |
| CN118658150B (zh) * | 2024-08-20 | 2024-11-15 | 湖南大学 | 一种基于显著性目标检测的复杂背景下棉花病害识别方法 |
| CN119107197B (zh) * | 2024-09-14 | 2025-06-13 | 广东省农业科学院植物保护研究所 | 基于火龙果有害生物发生规律的监测与防治方法及系统 |
| CN119360250B (zh) * | 2024-12-23 | 2025-03-21 | 中国农业大学 | 基于无人机多光谱植被指数变化率估测棉花脱叶率的方法 |
| CN119512289B (zh) * | 2025-01-21 | 2025-05-16 | 台州市一鸣机械股份有限公司 | 一种低温保鲜金属粮仓的智能化温湿度控制方法与系统 |
| CN120047734B (zh) * | 2025-01-24 | 2025-08-05 | 安徽大学 | 一种基于多层信息融合的农作物病害图像分类方法 |
| CN119963933B (zh) * | 2025-04-11 | 2025-07-04 | 景天下生态环境科技有限公司 | 基于人工智能的园林植物风险分级预警方法及系统 |
| CN120429589B (zh) * | 2025-07-08 | 2025-09-12 | 广东省农业科学院农业资源与环境研究所 | 一种用抗病营养液的香蕉苗培育过程监测方法及系统 |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TWI435234B (zh) | 2011-11-24 | 2014-04-21 | Inst Information Industry | Plant disease identification method, system and record media |
| EP3455782B1 (en) * | 2016-05-13 | 2020-07-15 | Basf Se | System and method for detecting plant diseases |
| US10685231B2 (en) | 2016-10-31 | 2020-06-16 | Optim Corporation | Computer system, and method and program for diagnosing plants |
| JP6757054B2 (ja) | 2017-05-30 | 2020-09-16 | 国立大学法人東北大学 | 皮膚組織の病理画像を用いた診断支援のためのシステム及び方法 |
| US10747999B2 (en) * | 2017-10-18 | 2020-08-18 | The Trustees Of Columbia University In The City Of New York | Methods and systems for pattern characteristic detection |
-
2019
- 2019-05-16 EP EP19174907.6A patent/EP3739504A1/en not_active Withdrawn
-
2020
- 2020-05-14 EP EP20174784.7A patent/EP3754543B1/en active Active
- 2020-05-14 US US17/611,517 patent/US12148197B2/en active Active
- 2020-05-14 BR BR112021022829A patent/BR112021022829A2/pt unknown
- 2020-05-14 WO PCT/EP2020/063428 patent/WO2020229585A1/en not_active Ceased
- 2020-05-14 CA CA3140489A patent/CA3140489A1/en active Pending
- 2020-05-14 PL PL20174784.7T patent/PL3754543T3/pl unknown
- 2020-05-14 CN CN202080048909.8A patent/CN114072853A/zh active Pending
- 2020-05-14 JP JP2021568252A patent/JP7562567B2/ja active Active
Also Published As
| Publication number | Publication date |
|---|---|
| EP3754543B1 (en) | 2022-04-06 |
| EP3739504A1 (en) | 2020-11-18 |
| CN114072853A (zh) | 2022-02-18 |
| WO2020229585A1 (en) | 2020-11-19 |
| US12148197B2 (en) | 2024-11-19 |
| JP7562567B2 (ja) | 2024-10-07 |
| US20220230305A1 (en) | 2022-07-21 |
| JP2022533820A (ja) | 2022-07-26 |
| BR112021022829A2 (pt) | 2021-12-28 |
| EP3754543A1 (en) | 2020-12-23 |
| CA3140489A1 (en) | 2020-11-19 |
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