Remote Sensing in Precision Agriculture
eBook - ePub

Remote Sensing in Precision Agriculture

Transforming Scientific Advancement into Innovation

  1. 514 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Remote Sensing in Precision Agriculture

Transforming Scientific Advancement into Innovation

About this book

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. - Presents a well-integrated collection of chapters, with quality, consistency and continuity - Provides the latest RS techniques in Precision Agriculture that are addressed by leading experts - Includes detailed, yet geographically global case studies that can be easily understood, reproduced or implemented - Covers geospatial data, with codes available through shared links

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Yes, you can access Remote Sensing in Precision Agriculture by Salim Lamine,Prashant K. Srivastava,Ahmed Kayad,Francisco Munoz Arriola,Prem Chandra Pandey in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Agribusiness. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Title page
  3. Table of Contents
  4. Copyright
  5. Contents
  6. List of contributors
  7. About the editors
  8. Preface
  9. List of Illustrations
  10. List of Tables
  11. Chapter 1 : Precision agriculture practices from planting to postharvest: scopes, opportunities, and challenges of innovation in developing countries
  12. Chapter 2 : Scope, importance, and limitations of precision-agriculture-based practices for crop management: Indian perspective
  13. Chapter 3 : IoT based soil monitoring for precision agriculture
  14. Chapter 4 : LIFE GEOCARBON: carbon farming geolocation support by establishing a spatial soil database management system
  15. Chapter 5 : Mapping and monitoring of salt-affected soils: the contribution of geoinformation
  16. Chapter 6 : Soil organic carbon sequestration potential dynamics in saline and sodic soils in Greece
  17. Chapter 7 : The latest applications of remote sensing technologies for soil management in precision agriculture practices
  18. Chapter 8 : Role of precision agriculture in soil fertility and its application to farmers
  19. Chapter 9 : Remote sensing and geographic information system–based land suitability analysis for precision agriculture: a case of paddy cultivation in East Siang district of Arunachal Pradesh (India)
  20. Chapter 10 : Precision agriculture practices for smart irrigation
  21. Chapter 11 : Precision irrigation management: a step toward sustainable agriculture
  22. Chapter 12 : Applications of remote sensing in water quality assessment
  23. Chapter 13 : Combined use of uncrewed aerial vehicle and satellite remote sensing data to gain crop insights within Colombia
  24. Chapter 14 : Prediction of plant pigments for phytosanitary and yield estimation
  25. Chapter 15 : Land salinity mapping using Sentinel-1/2 remote sensing imagery: a case study in Da’an, Jilin Province
  26. Chapter 16 : Precision nutrient management for field and horticultural crops
  27. Chapter 17 : Smart farming to support agricultural crop damage assessment: interweaving Earth Observation and IoT data
  28. Chapter 18 : Detection of grapevine yellows using multispectral imaging
  29. Chapter 19 : Geostatistical modeling—a tool for predictive soil mapping
  30. Chapter 20 : A novel approach for training nonparametric statistical models to retrieve rapeseed fresh above-ground biomass using in situ and Sentinel-2 data
  31. Chapter 21 : Applications of drones in precision agriculture: future of smart and sustainable farming
  32. Chapter 22 : Precision opto-imaging techniques for seed quality assessment: prospects and scope of recent advances
  33. Chapter 23 : Remote sensing–aided disaster risk mitigation in agriculture
  34. Index
  35. A