Crop Pest and Disease Remote Sensing Monitoring and Forecasting:
This book presents the research and applications carried out by the Vegetation Remote Sensing & Pest and Disease Application Research Team of Aerospace Information Research Institute of Chinese Academy of Sciences (AIR-CAS) in the field of pest and disease monitoring and forecasting during the p...
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Les Ulis
EDP Sciences
[2022]
|
| Schriftenreihe: | Current Natural Sciences
|
| Schlagworte: | |
| Online-Zugang: | FAW01 FAB01 FCO01 FHA01 FKE01 FLA01 UPA01 Volltext |
| Zusammenfassung: | This book presents the research and applications carried out by the Vegetation Remote Sensing & Pest and Disease Application Research Team of Aerospace Information Research Institute of Chinese Academy of Sciences (AIR-CAS) in the field of pest and disease monitoring and forecasting during the past ten years. Organized in five parts, this work covers crop pest and disease remote sensing monitoring and forecasting mechanisms, algorithms, models, system development and applications. The first part introduces the importance and current research status of crop pest and disease monitoring and forecasting. From the second to the fourth parts, the authors engage readers with various subjects related to non-imaging and imaging remote sensing monitoring, remote sensing forecasting. The construction and application of crop pest and disease remote sensing monitoring and forecasting system are described in the last part. This book can be used as a reference book in the areas of agricultural information technology, 3S technology application, agricultural plant protection, agrometeorology and agricultural extension.Being internationally prestigious experts and young scientists, the authors provide an essential view of their important work supported by multiple major research funding programs (National Key R&D Program of China, Newton-UK-China Agri-centers, Strategic Priority Research Program of the Chinese Academy of Sciences, National Natural Science Foundation of China, Beijing Nova Program of Science and Technology, National special support program for high-level personnel, Ten-thousand TalentsProgram, Youth Innovation Promotion Association CAS, Hainan Provincial High level talent Program of Basic and Applied Basic Research Plan, etc.) |
| Beschreibung: | Description based on online resource; title from PDF title page (publisher's Web site, viewed 30. Aug 2022) |
| Beschreibung: | 1 Online-Ressource (334 pages) |
| ISBN: | 9782759826605 |
| DOI: | 10.1051/978-2-7598-2660-5 |
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| 520 | |a This book presents the research and applications carried out by the Vegetation Remote Sensing & Pest and Disease Application Research Team of Aerospace Information Research Institute of Chinese Academy of Sciences (AIR-CAS) in the field of pest and disease monitoring and forecasting during the past ten years. Organized in five parts, this work covers crop pest and disease remote sensing monitoring and forecasting mechanisms, algorithms, models, system development and applications. The first part introduces the importance and current research status of crop pest and disease monitoring and forecasting. From the second to the fourth parts, the authors engage readers with various subjects related to non-imaging and imaging remote sensing monitoring, remote sensing forecasting. The construction and application of crop pest and disease remote sensing monitoring and forecasting system are described in the last part. This book can be used as a reference book in the areas of agricultural information technology, 3S technology application, agricultural plant protection, agrometeorology and agricultural extension.Being internationally prestigious experts and young scientists, the authors provide an essential view of their important work supported by multiple major research funding programs (National Key R&D Program of China, Newton-UK-China Agri-centers, Strategic Priority Research Program of the Chinese Academy of Sciences, National Natural Science Foundation of China, Beijing Nova Program of Science and Technology, National special support program for high-level personnel, Ten-thousand TalentsProgram, Youth Innovation Promotion Association CAS, Hainan Provincial High level talent Program of Basic and Applied Basic Research Plan, etc.) | ||
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Datensatz im Suchindex
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| author | Dong, Yingying Geng, Yun Guo, Anting Huang, Wenjang Ma, Huiqin Ruan, Chao |
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| isbn | 9782759826605 |
| language | English |
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| spelling | Dong, Yingying Verfasser aut Crop Pest and Disease Remote Sensing Monitoring and Forecasting Yingying Dong, Wenjang Huang, Yun Geng, Linyi Liu, Huiqin Ma, Anting Guo, Chao Ruan Les Ulis EDP Sciences [2022] © 2022 1 Online-Ressource (334 pages) txt rdacontent c rdamedia cr rdacarrier Current Natural Sciences Description based on online resource; title from PDF title page (publisher's Web site, viewed 30. Aug 2022) This book presents the research and applications carried out by the Vegetation Remote Sensing & Pest and Disease Application Research Team of Aerospace Information Research Institute of Chinese Academy of Sciences (AIR-CAS) in the field of pest and disease monitoring and forecasting during the past ten years. Organized in five parts, this work covers crop pest and disease remote sensing monitoring and forecasting mechanisms, algorithms, models, system development and applications. The first part introduces the importance and current research status of crop pest and disease monitoring and forecasting. From the second to the fourth parts, the authors engage readers with various subjects related to non-imaging and imaging remote sensing monitoring, remote sensing forecasting. The construction and application of crop pest and disease remote sensing monitoring and forecasting system are described in the last part. This book can be used as a reference book in the areas of agricultural information technology, 3S technology application, agricultural plant protection, agrometeorology and agricultural extension.Being internationally prestigious experts and young scientists, the authors provide an essential view of their important work supported by multiple major research funding programs (National Key R&D Program of China, Newton-UK-China Agri-centers, Strategic Priority Research Program of the Chinese Academy of Sciences, National Natural Science Foundation of China, Beijing Nova Program of Science and Technology, National special support program for high-level personnel, Ten-thousand TalentsProgram, Youth Innovation Promotion Association CAS, Hainan Provincial High level talent Program of Basic and Applied Basic Research Plan, etc.) In English Technology & Engineering / Remote Sensing & Geographic Information Systems bisacsh Geng, Yun aut Guo, Anting aut Huang, Wenjang aut Ma, Huiqin aut Ruan, Chao aut https://doi.org/10.1051/978-2-7598-2660-5 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Dong, Yingying Geng, Yun Guo, Anting Huang, Wenjang Ma, Huiqin Ruan, Chao Crop Pest and Disease Remote Sensing Monitoring and Forecasting Technology & Engineering / Remote Sensing & Geographic Information Systems bisacsh |
| title | Crop Pest and Disease Remote Sensing Monitoring and Forecasting |
| title_auth | Crop Pest and Disease Remote Sensing Monitoring and Forecasting |
| title_exact_search | Crop Pest and Disease Remote Sensing Monitoring and Forecasting |
| title_exact_search_txtP | Crop Pest and Disease Remote Sensing Monitoring and Forecasting |
| title_full | Crop Pest and Disease Remote Sensing Monitoring and Forecasting Yingying Dong, Wenjang Huang, Yun Geng, Linyi Liu, Huiqin Ma, Anting Guo, Chao Ruan |
| title_fullStr | Crop Pest and Disease Remote Sensing Monitoring and Forecasting Yingying Dong, Wenjang Huang, Yun Geng, Linyi Liu, Huiqin Ma, Anting Guo, Chao Ruan |
| title_full_unstemmed | Crop Pest and Disease Remote Sensing Monitoring and Forecasting Yingying Dong, Wenjang Huang, Yun Geng, Linyi Liu, Huiqin Ma, Anting Guo, Chao Ruan |
| title_short | Crop Pest and Disease Remote Sensing Monitoring and Forecasting |
| title_sort | crop pest and disease remote sensing monitoring and forecasting |
| topic | Technology & Engineering / Remote Sensing & Geographic Information Systems bisacsh |
| topic_facet | Technology & Engineering / Remote Sensing & Geographic Information Systems |
| url | https://doi.org/10.1051/978-2-7598-2660-5 |
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