04106nam a22005775i 4500 978-3-319-96646-5 DE-He213 20210618210045.0 cr nn 008mamaa 181016s2019 gw | s |||| 0|eng d 9783319966465 978-3-319-96646-5 10.1007/978-3-319-96646-5 doi GE300-350 RNF bicssc TEC010000 bisacsh RNF thema 333.7 23 Raju, K. V. author. aut http://id.loc.gov/vocabulary/relators/aut Geospatial Technologies for Agriculture [electronic resource] : Case Studies from India / by K. V. Raju, V. R. Hegde, Satish A. Hegde. 1st ed. 2019. Cham : Springer International Publishing : Imprint: Springer, 2019. XVIII, 152 p. 68 illus., 65 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda SpringerBriefs in Environmental Science, 2191-5547 Chapter1: Introduction -- Chapter2: Crop Area Statistics -- Chapter3: Procedure adopted in different States -- Chapter4: Theme of the Crop Inventory Experiment.-Chapter5: Development of a spatial reference (system) database -- Chapter6: Results of field inventory -- Chapter7: Reasons for non-cultivation -- Chapter8: Land Use -- Chapter9: Repetition in second year -- Chapter10: Kitchen Garden in Jarasingha -- Chapter11: Comparison of Area Statistics: Existing Practice v/s Geospatial Technology -- Chapter12: Conclusions and Recommendations -- Chapter13: SWOT analysis of Geospatial Technology -- Chapter14: Geospatial Technology Intervention-A best method for crop inventory -- Chapter15: Executive Summary. 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. . Environmental management. Agriculture. Geographical information systems. Environmental monitoring. Environmental economics. Environmental Management. https://scigraph.springernature.com/ontologies/product-market-codes/U17009 Agriculture. https://scigraph.springernature.com/ontologies/product-market-codes/L11006 Geographical Information Systems/Cartography. https://scigraph.springernature.com/ontologies/product-market-codes/J13000 Monitoring/Environmental Analysis. https://scigraph.springernature.com/ontologies/product-market-codes/U1400X Environmental Economics. https://scigraph.springernature.com/ontologies/product-market-codes/W48000 Hegde, V. R. author. aut http://id.loc.gov/vocabulary/relators/aut Hegde, Satish A. author. aut http://id.loc.gov/vocabulary/relators/aut SpringerLink (Online service) Springer Nature eBook Printed edition: 9783319966458 Printed edition: 9783319966472 SpringerBriefs in Environmental Science, 2191-5547 https://doi.org/10.1007/978-3-319-96646-5 ZDB-2-EES ZDB-2-SXEE Earth and Environmental Science (SpringerNature-11646) Earth and Environmental Science (R0) (SpringerNature-43711)