Geospatial Technologies for Agriculture

Case Studies from India

Nonfiction, Science & Nature, Technology, Environmental, Agriculture & Animal Husbandry, Nature
Cover of the book Geospatial Technologies for Agriculture by K. V. Raju, V. R. Hegde, Satish A. Hegde, Springer International Publishing
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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. 

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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. 

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