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Remote sensing in precision agriculture : transforming scientific advancement into innovation /

Remote Sensing in Precision Agriculture: Transforming Scientific Advancement into Innovation compiles the latest applications of remote sensing in agriculture using spaceborne, airborne and drones' geospatial data. The book presents case studies, new algorithms and the latest methods surroundin...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Lamine, Salim (Editor ), Srivastava, Prashant K. (Editor ), Kayad, Ahmed (Editor ), Munoz Arriola, Francisco (Editor ), Pandey, Prem Chandra, 1985- (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam : Academic Press, 2023.
Colección:Earth observation
Temas:
Acceso en línea:Texto completo

MARC

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520 |a Remote Sensing in Precision Agriculture: Transforming Scientific Advancement into Innovation compiles the latest applications of remote sensing in agriculture using spaceborne, airborne and drones' geospatial data. The book presents case studies, new algorithms and the latest methods surrounding crop sown area estimation, determining crop health status, assessment of vegetation dynamics, crop diseases identification, crop yield estimation, soil properties, drone image analysis for crop damage assessment, and other issues in precision agriculture. This book is ideal for those seeking to explore and implement remote sensing in an effective and efficient manner with its compendium of scientifically and technologically sound information. 
588 0 |a Print version record. 
505 0 |a Front Cover -- Remote Sensing in Precision Agriculture -- Copyright Page -- Contents -- List of contributors -- About the editors -- Preface -- 1 Introduction and principles of precision agriculture -- 1 Precision agriculture practices from planting to postharvest: scopes, opportunities, and challenges of innovation in deve... -- 1.1 Precision agriculture for smallholder farming -- 1.2 Precision equipment, tools, and technical requirements for smallholder farming -- 1.3 Precision crop breeding -- 1.4 High-throughput phenotyping to accelerate plant stress breeding 
505 8 |a 1.5 Precision agriculture technologies for plant disease management -- 1.6 Major techniques involve in plant disease management -- 1.6.1 Nanofungicides against field crop pathogens -- 1.7 Nanomaterials for plant disease detection -- 1.8 Deep learning models for plant disease detection -- 1.9 Postharvest management -- 1.10 Varietal classification -- 1.11 Contaminant detection -- 1.12 Firmness -- 1.13 Total soluble solids -- 1.14 Moisture and dry matter -- 1.15 Defect identification -- References 
505 8 |a 2 Scope, importance, and limitations of precision-agriculture-based practices for crop management: Indian perspective -- 2.1 Introduction -- 2.2 Components of precision agriculture and their use -- 2.2.1 Mapping -- 2.2.2 Global positioning system receivers -- 2.2.3 Yield monitoring and mapping -- 2.2.4 Grid soil sampling and variable-rate fertilizer application -- 2.2.5 Remote sensing -- 2.2.6 Geographic information systems -- 2.2.7 Quantifying farm variability -- 2.2.8 Soil variation -- 2.2.9 Variability of soil water content -- 2.2.10 Time and space scales -- 2.3 Why precision farming 
505 8 |a 2.4 Precision-agriculture-based practices for crop management -- 2.5 Scope of precision agriculture in India -- 2.6 Challenges and limitations of precision agriculture -- 2.7 The policy approach to promote precision farming at farm level -- 2.8 Conclusions -- References -- 2 Precision agriculture practices for soil management -- 3 IoT based soil monitoring for precision agriculture -- 3.1 Introduction -- 3.2 Proposed system -- 3.2.1 Arduino -- 3.2.2 ThingSpeak-IoT platform -- 3.2.3 ESP8266 Wi-Fi module -- 3.2.4 Sensors -- 3.3 Satellite data processing -- 3.4 Study area 
505 8 |a 3.5 Result and discussion -- 3.5.1 IoT-based results -- 3.5.2 Satellite-based results -- 3.6 Conclusion -- Acknowledgments -- References -- 4 LIFE GEOCARBON: carbon farming geolocation support by establishing a spatial soil database management system -- 4.1 Introduction -- 4.1.1 Introducing LIFE GEOCARBON and its framework -- 4.1.2 Aims and objectives -- 4.1.3 Project beneficiaries -- 4.2 Materials and methods -- 4.2.1 Data sources -- 4.2.2 Data acquisition -- 4.3 Expected results -- 4.4 Conclusions -- References 
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700 1 |a Lamine, Salim,  |e editor. 
700 1 |a Srivastava, Prashant K.,  |e editor. 
700 1 |a Kayad, Ahmed,  |e editor. 
700 1 |a Munoz Arriola, Francisco,  |e editor. 
700 1 |a Pandey, Prem Chandra,  |d 1985-  |e editor. 
776 0 8 |i Print version:  |t Remote sensing in precision agriculture.  |d Amsterdam : Academic Press, 2023  |z 9780323910682  |w (OCoLC)1400100541 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/book/9780323910682  |z Texto completo