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DEVELOPMENTOF RELATIONAL DATABASE FOR ASSESSMENT OF DISTRIBUTION OF AREA, PRODUCTION AND PRODUCTIVITY OF MAJOR OILSEEDS (LINSEED, RAPESEED & MUSTARD, NIGER AND SESAMUM) IN DIFFERENT DISTRICTS OF BASTAR PLATEAU

Journal of Pharmacognosy and Phytochemistry · 2016 · Vol. 8(6) · pp. 1369–1371

Abstract

In developing countries basic data are needed for formulating developmental plans and for subsequent assessment of their progress. Precise agricultural statistics are essential for policy-makers, administrators, and scientists concerned with planning and evaluation of agricultural investments (de Groote and Traore, 2005). A relational database allows us to easily find specific information. The SQL is the foundation for all the popular database applications available today. Chhattisgarh is a predominantly tribal region in the eastern part of India. In order to get a good idea of how the production of crops has varied over the years, it is necessary to study its trend over the years. To depict the complete scenario, there is need of collecting and maintaining a relational database of area, production and productivity of major oilseeds (linseed, rapeseed & mustard, niger and sesamum) in different districts of bastar plateau.

Agricultural Economics and PracticesSesamumProductivityAgricultureProduction (economics)RapeseedAgricultural productivityRelational databaseDistribution (mathematics)Plateau (mathematics)Geography
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Percentile
13%
vs. same field & year
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DEVELOPMENTOF RELATIONAL DATABASE FOR ASSESSMENT OF DISTRIBUTION OF AREA, PRODUCTION AND PRODUCTIVITY OF MAJOR OILSEEDS (LINSEED, RAPESEED & MUSTARD, NIGER AND SESAMUM) IN DIFFERENT DISTRICTS OF BASTAR PLATEAU · Scinovex