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International Journal of Applied Research
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ISSN Print: 2394-7500, ISSN Online: 2394-5869, CODEN: IJARPF

Impact Factor: RJIF 8.4

International Journal of Applied Research

Vol. 3, Issue 7, Part P (2017)

Rural Infrastructure forecasting of Ganga basin and impact on food production and cropping pattern using multivariate regression analysis

Author(s)
Kunal Dhadse and Chirag Garg
Abstract
The research involves a descriptive study of land use pattern of Ganga river basin and impact of population growth on it. The cropping pattern of 10 years have been analyzed using multivariate regression analysis. Due to increase in population there is an expected growth in the build-up area in the basin and an expected growth in cropping area. As a result of population growth there is a shift of cropping pattern from low yielding crops to high yielding crops. The study results shows that there is reduction in single crop area like Rabi and Kharif crop with increasing population. Results shows increase in Double and Triple crop cover in the basin with increase in population. The study clearly shows that with increase in population the cropping distribution changes and high yielding cropping practices are favored over the years. Results from the study can help in forecasting the cropping pattern against the expected population and the demand of fertilizers can be optimized by planning beforehand for the expected demand for specific type of cropping pattern.
Pages: 1084-1087  |  516 Views  8 Downloads
How to cite this article:
Kunal Dhadse, Chirag Garg. Rural Infrastructure forecasting of Ganga basin and impact on food production and cropping pattern using multivariate regression analysis. Int J Appl Res 2017;3(7):1084-1087.
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International Journal of Applied Research