Comparison of Area Statistics: Existing Practice vs Geospatial Technology

Raju, K V and Hegde, V R and Hegde, S A (2018) Comparison of Area Statistics: Existing Practice vs Geospatial Technology. In: Geospatial Technologies for Agriculture : Case Studies from India. Springer Briefs in Environmental Science . Springer, pp. 107-123. ISBN 978-3-319-96645-8

Full text not available from this repository.

Abstract

Crop plots derived from satellite images correspond to shape and extent in the field and correlate with land records. Crop statistics generated using geospatial tools are authentic and accurate and traceable but do not correlate with the existing data compiled from traditional methods which have problems in terms of type, extent, and acreage. The land use details also appear to have not been updated. The methodology adopted has been able to provide reliable information on the basic production unit, reasons for not cultivation, farming infrastructure, farming practice, availability of agriculture inputs, and geographic variation of crops. Keeping in view the goal of doubling the income and improved agricultural productivity and climate resilience, geospatial tools appear to be useful for generating the reliable and real-time data. The technology can also be conveniently used for consolidating the spatial information of land records, particularly the holding information.

Item Type:	Book Section
Divisions:	Research Program : Asia
CRP:	UNSPECIFIED
Series Name:	Springer Briefs in Environmental Science
Uncontrolled Keywords:	Crop plots, Satellite image, Land records, Traceable, Acreage, Farming infrastructure, Climate resilience, Geospatial tools, Real time data, Crop plot, spatial information, agriculture inputs, farming practice, geographic variation
Subjects:	Others > GIS Techniques/Remote Sensing Others > Agricultural Statistics
Depositing User:	Mr Ramesh K
Date Deposited:	11 Dec 2018 10:32
Last Modified:	06 Mar 2019 07:49
URI:	http://oar.icrisat.org/id/eprint/11027
Acknowledgement:	UNSPECIFIED
Links:

View Statistics

Actions (login required)

View Item