Raju, K V and Hegde, V R and Hegde, S A (2018) Introduction. In: Geospatial Technologies for Agriculture : Case Studies from India. SpringerBriefs in Environmental Science, pp. 1-2. ISBN 978-3-319-96645-8
Full text not available from this repository.Abstract
World needs to elevate 700 million poor people living in rural area. Sustainable Development Goal emphasizes ending poverty and hunger by 2030 and the importance of agriculture in the economy, employment, food security, national self-reliance, and general well-being. Reliable information related to agriculture is at the center of everything and agricultural statistics are part of the economic profile of a village/taluk/district/state and country and are increasingly becoming important. Agriculture data includes agricultural holding by distribution, size, tenure, land use, means of production, and labor force and statistics are essential to monitor trends and estimate future prospects for agricultural commodity markets which can assist in setting policies such as price supports and strategies to promote economic growth.
Item Type: | Book Section |
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Divisions: | Research Program : Asia |
CRP: | UNSPECIFIED |
Uncontrolled Keywords: | Poverty, Food security, Agricultural statistics, Agricultural holding |
Subjects: | Others > Agricultural Statistics Others > Food Security Others > Poverty |
Depositing User: | Mr Ramesh K |
Date Deposited: | 11 Dec 2018 08:54 |
Last Modified: | 11 Dec 2018 09:01 |
URI: | http://oar.icrisat.org/id/eprint/11017 |
Acknowledgement: | UNSPECIFIED |
Links: | |
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