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.)

nexusstc/Crop Pest and Disease Remote Sensing Monitoring and Forecasting/ea43567ae66b1026744074b0d539b527.pdf

lgli/10.1051_978-2-7598-2660-5.pdf

lgrsnf/10.1051_978-2-7598-2660-5.pdf

zlib/no-category/Yingying Dong; Wenjang Huang; Yun Geng; Linyi Liu; Huiqin Ma; Anting Guo; Chao Ruan/Crop Pest and Disease Remote Sensing Monitoring and Forecasting_25905772.pdf

Yingying Dong; Wenjiang Huang; Yun Geng; Linyi Liu; Anting Guo; Chao Ruan

Linyi Liu; Huiqin Ma; Anting Guo; ChaoVE Ruan; Wenjang Huang; Yun Geng

EDP Sciences, Les Ulis, 2022

France, France

degruyter.com

producers:
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This book presents the research and applications carried out by the Vegetation Remote Sensing et 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 RetD 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.)

Authors
Foreword
Preface
Contents
Part One Overview
Chapter 1 Introduction
Chapter 2 Mechanism and Method
Part Two Non-Imaging Hyperspectral Remote Sensing Monitoring for Crop Pest and Disease
Introduction
Chapter 3 Crop Disease Monitoring
Chapter 4 Crop Pest Monitoring
Chapter 5 Crop Pest and Disease Differentiation
Part Four Remote Sensing forecasting for Crop Pest and Disease
Introduction
Chapter 6 Imaging Hyperspectral Remote Sensing Monitoring of Crop Pest and Disease
Chapter 7 Multi-Spectral Remote Sensing Monitoring
Part Four Remote Sensing forecasting for Crop Pest and Disease
Chapter 8 Crop Pest and Disease Forecasting with Multi-Source Data
Part Five System and Application for Crop Pest and Disease Monitoring and Forecasting
Chapter 9 Crop Pest and Disease Monitoring and Forecasting System
Summary

2023-08-21