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Geospatial Technologies for Agriculture = Case Studies from India /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Geospatial Technologies for Agriculture/ by K. V. Raju, V. R. Hegde, Satish A. Hegde.
Reminder of title:	Case Studies from India /
Author:	Raju, K. V.
other author:	Hegde, V. R.
Description:	XVIII, 152 p. 68 illus., 65 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Environmental management. -
Online resource:	https://doi.org/10.1007/978-3-319-96646-5
ISBN:	9783319966465

Geospatial Technologies for Agriculture = Case Studies from India /
Raju, K. V.

Geospatial Technologies for AgricultureCase Studies from India /[electronic resource] :by K. V. Raju, V. R. Hegde, Satish A. Hegde. - 1st ed. 2019. - XVIII, 152 p. 68 illus., 65 illus. in color.online resource. - SpringerBriefs in Environmental Science,2191-5547. - SpringerBriefs in Environmental Science,.

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. .

ISBN: 9783319966465

Standard No.: 10.1007/978-3-319-96646-5doiSubjects--Topical Terms:

557131
Environmental management.

LC Class. No.: GE300-350

Dewey Class. No.: 333.7

Geospatial Technologies for Agriculture = Case Studies from India /
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