Geospatial Technologies for Agriculture
Case Studies from India
Nonfiction, Science & Nature, Technology, Environmental, Agriculture & Animal Husbandry, Nature
| Author: | K. V. Raju, V. R. Hegde, Satish A. Hegde | ISBN: | 9783319966465 |
| Publisher: | Springer International Publishing | Publication: | October 16, 2018 |
| Imprint: | Springer | Language: | English |
| Author: | K. V. Raju, V. R. Hegde, Satish A. Hegde |
| ISBN: | 9783319966465 |
| Publisher: | Springer International Publishing |
| Publication: | October 16, 2018 |
| Imprint: | Springer |
| Language: | English |
This book uniquely presents accurate and up-to-date information related to crops in small and fragmented agricultural lands with mixed cropping patterns. The book involves research using remote sensing (RS), Global Positioning Systems (GPS) and Geographic Information Systems (GIS) to develop crop inventories in three growing seasons in three villages across India to inform decision makers and planners on best practices for agricultural management. The data analysis of crop details using various geospatial technologies fills in gaps in statistical agriculture research, and provides reliable, replicable and efficient methods for generating agricultural statistics. The book will be of interest to statisticians, planners and decision makers in crop management and production.
This book uniquely presents accurate and up-to-date information related to crops in small and fragmented agricultural lands with mixed cropping patterns. The book involves research using remote sensing (RS), Global Positioning Systems (GPS) and Geographic Information Systems (GIS) to develop crop inventories in three growing seasons in three villages across India to inform decision makers and planners on best practices for agricultural management. The data analysis of crop details using various geospatial technologies fills in gaps in statistical agriculture research, and provides reliable, replicable and efficient methods for generating agricultural statistics. The book will be of interest to statisticians, planners and decision makers in crop management and production.
