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.
1. Remote Sensing in Precision Agriculture - p. Page i 2. Cover - p. Page i 3. Title page - p. Page ii 4. Table of Contents - p. Page iii 5. Copyright - p. Page iii 6. Contents - p. Page v 7. List of contributors - p. Page vi 8. About the editors - p. Page vi 9. Preface - p. Page x 10. List of Illustrations - p. Page xiii 11. List of Tables - p. Page xiv 12. Chapter 1 : Precision agriculture practices from planting to postharvest: scopes, opportunities, and challenges of innovation in developing countries - p. Page xiv 13. Chapter 2 : Scope, importance, and limitations of precision-agriculture-based practices for crop management: Indian perspective - p. Page 18 14. Chapter 3 : IoT based soil monitoring for precision agriculture - p. Page 38 15. Chapter 4 : LIFE GEOCARBON: carbon farming geolocation support by establishing a spatial soil database management system - p. Page 56 16. Chapter 5 : Mapping and monitoring of salt-affected soils: the contribution of geoinformation - p. Page 68 17. Chapter 6 : Soil organic carbon sequestration potential dynamics in saline and sodic soils in Greece - p. Page 86 18. Chapter 7 : The latest applications of remote sensing technologies for soil management in precision agriculture practices - p. Page 103 19. Chapter 8 : Role of precision agriculture in soil fertility and its application to farmers - p. Page 127 20. 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) - p. Page 146 21. Chapter 10 : Precision agriculture practices for smart irrigation - p. Page 169 22. Chapter 11 : Precision irrigation management: a step toward sustainable agriculture - p. Page 184 23. Chapter 12 : Applications of remote sensing in water quality assessment - p. Page 204 24. Chapter 13 : Combined use of uncrewed aerial vehicle and satellite remote sensing data to gain crop insights within Colombia - p. Page 234 25. Chapter 14 : Prediction of plant pigments for phytosanitary and yield estimation - p. Page 256 26. Chapter 15 : Land salinity mapping using Sentinel-1/2 remote sensing imagery: a case study in Da’an, Jilin Province - p. Page 296 27. Chapter 16 : Precision nutrient management for field and horticultural crops - p. Page 315 28. Chapter 17 : Smart farming to support agricultural crop damage assessment: interweaving Earth Observation and IoT data - p. Page 334 29. Chapter 18 : Detection of grapevine yellows using multispectral imaging - p. Page 364 30. Chapter 19 : Geostatistical modeling—a tool for predictive soil mapping - p. Page 383 31. Chapter 20 : A novel approach for training nonparametric statistical models to retrieve rapeseed fresh above-ground biomass using in situ and Sentinel-2 data - p. Page 409 32. Chapter 21 : Applications of drones in precision agriculture: future of smart and sustainable farming - p. Page 427 33. Chapter 22 : Precision opto-imaging techniques for seed quality assessment: prospects and scope of recent advances - p. Page 450 34. Chapter 23 : Remote sensing–aided disaster risk mitigation in agriculture - p. Page 476 35. Index - p. Page 496
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.
1. Remote Sensing in Precision Agriculture - p. Page i 2. Cover - p. Page i 3. Title page - p. Page ii 4. Table of Contents - p. Page iii 5. Copyright - p. Page iii 6. Contents - p. Page v 7. List of contributors - p. Page vi 8. About the editors - p. Page vi 9. Preface - p. Page x 10. List of Illustrations - p. Page xiii 11. List of Tables - p. Page xiv 12. Chapter 1 : Precision agriculture practices from planting to postharvest: scopes, opportunities, and challenges of innovation in developing countries - p. Page xiv 13. Chapter 2 : Scope, importance, and limitations of precision-agriculture-based practices for crop management: Indian perspective - p. Page 18 14. Chapter 3 : IoT based soil monitoring for precision agriculture - p. Page 38 15. Chapter 4 : LIFE GEOCARBON: carbon farming geolocation support by establishing a spatial soil database management system - p. Page 56 16. Chapter 5 : Mapping and monitoring of salt-affected soils: the contribution of geoinformation - p. Page 68 17. Chapter 6 : Soil organic carbon sequestration potential dynamics in saline and sodic soils in Greece - p. Page 86 18. Chapter 7 : The latest applications of remote sensing technologies for soil management in precision agriculture practices - p. Page 103 19. Chapter 8 : Role of precision agriculture in soil fertility and its application to farmers - p. Page 127 20. 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) - p. Page 146 21. Chapter 10 : Precision agriculture practices for smart irrigation - p. Page 169 22. Chapter 11 : Precision irrigation management: a step toward sustainable agriculture - p. Page 184 23. Chapter 12 : Applications of remote sensing in water quality assessment - p. Page 204 24. Chapter 13 : Combined use of uncrewed aerial vehicle and satellite remote sensing data to gain crop insights within Colombia - p. Page 234 25. Chapter 14 : Prediction of plant pigments for phytosanitary and yield estimation - p. Page 256 26. Chapter 15 : Land salinity mapping using Sentinel-1/2 remote sensing imagery: a case study in Da’an, Jilin Province - p. Page 296 27. Chapter 16 : Precision nutrient management for field and horticultural crops - p. Page 315 28. Chapter 17 : Smart farming to support agricultural crop damage assessment: interweaving Earth Observation and IoT data - p. Page 334 29. Chapter 18 : Detection of grapevine yellows using multispectral imaging - p. Page 364 30. Chapter 19 : Geostatistical modeling—a tool for predictive soil mapping - p. Page 383 31. Chapter 20 : A novel approach for training nonparametric statistical models to retrieve rapeseed fresh above-ground biomass using in situ and Sentinel-2 data - p. Page 409 32. Chapter 21 : Applications of drones in precision agriculture: future of smart and sustainable farming - p. Page 427 33. Chapter 22 : Precision opto-imaging techniques for seed quality assessment: prospects and scope of recent advances - p. Page 450 34. Chapter 23 : Remote sensing–aided disaster risk mitigation in agriculture - p. Page 476 35. Index - p. Page 496
