Cargando…

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...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Dong, Yingying (Autor), Geng, Yun (Autor), Guo, Anting (Autor), Huang, Wenjang (Autor), Ma, Huiqin (Autor), Ruan, Chao (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Les Ulis : EDP Sciences, [2022]
Colección:Current Natural Sciences
Temas:
Acceso en línea:Texto completo

MARC

LEADER 00000cam a2200000 i 4500
001 EBSCO_on1343103807
003 OCoLC
005 20231017213018.0
006 m o d
007 cr |||||||||||
008 220830t20222022fr fod z000 0 eng d
040 |a DEGRU  |b eng  |e rda  |e pn  |c DEGRU  |d EBLCP  |d OCLCQ  |d N$T  |d OCLCF 
020 |a 9782759826605  |q (electronic bk.) 
020 |a 2759826600  |q (electronic bk.) 
020 |z 9782759826599 
024 7 |a 10.1051/978-2-7598-2660-5  |2 doi 
035 |a (OCoLC)1343103807 
050 4 |a SB601 
072 7 |a TEC036000  |2 bisacsh 
082 0 4 |a 632.6  |2 23/eng/20230221 
049 |a UAMI 
100 1 |a Dong, Yingying,  |e author  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Crop Pest and Disease Remote Sensing Monitoring and Forecasting /  |c Yingying Dong, Wenjang Huang, Yun Geng, Linyi Liu, Huiqin Ma, Anting Guo, Chao Ruan. 
264 1 |a Les Ulis :  |b EDP Sciences,  |c [2022] 
264 4 |c Ã2022 
300 |a 1 online resource (334 pages) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file 
347 |b PDF 
490 0 |a Current Natural Sciences 
546 |a In English. 
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.). 
505 0 0 |t Frontmatter --  |t Authors --  |t Foreword --  |t Preface --  |t Contents --  |t Part One Overview --  |t Chapter 1 Introduction --  |t Chapter 2 Mechanism and Method --  |t Part Two Non-Imaging Hyperspectral Remote Sensing Monitoring for Crop Pest and Disease --  |t Introduction --  |t Chapter 3 Crop Disease Monitoring --  |t Chapter 4 Crop Pest Monitoring --  |t Chapter 5 Crop Pest and Disease Differentiation --  |t Part Four Remote Sensing forecasting for Crop Pest and Disease --  |t Introduction --  |t Chapter 6 Imaging Hyperspectral Remote Sensing Monitoring of Crop Pest and Disease --  |t Chapter 7 Multi-Spectral Remote Sensing Monitoring --  |t Part Four Remote Sensing forecasting for Crop Pest and Disease --  |t Chapter 8 Crop Pest and Disease Forecasting with Multi-Source Data --  |t Part Five System and Application for Crop Pest and Disease Monitoring and Forecasting --  |t Chapter 9 Crop Pest and Disease Monitoring and Forecasting System --  |t Summary 
588 0 |a Online resource; title from PDF title page (publisher's Web site, viewed 30. Aug 2022). 
590 |a eBooks on EBSCOhost  |b EBSCO eBook Subscription Academic Collection - Worldwide 
650 0 |a Agricultural pests  |x Remote sensing. 
650 0 |a Plant diseases  |x Remote sensing. 
650 0 |a Agricultural pests  |x Forecasting. 
650 0 |a Plant diseases  |x Forecasting. 
650 0 |a Agriculture  |x Information technology. 
650 7 |a Technology & Engineering  |x Remote Sensing & Geographic Information Systems.  |2 bisacsh 
650 7 |a Agricultural pests  |x Forecasting.  |2 fast  |0 (OCoLC)fst00801163 
650 7 |a Plant diseases  |x Forecasting.  |2 fast  |0 (OCoLC)fst01065390 
700 1 |a Geng, Yun,  |e author  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
700 1 |a Guo, Anting,  |e author  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
700 1 |a Huang, Wenjang,  |e author  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
700 1 |a Ma, Huiqin,  |e author  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
700 1 |a Ruan, Chao,  |e author  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
856 4 0 |u https://ebsco.uam.elogim.com/login.aspx?direct=true&scope=site&db=nlebk&AN=3500891  |z Texto completo 
936 |a BATCHLOAD 
938 |a De Gruyter  |b DEGR  |n 9782759826605 
938 |a EBSCOhost  |b EBSC  |n 3500891 
994 |a 92  |b IZTAP