An Associative Relational Impact of Water Quality on Crop Yield: A Comprehensive Index Analysis Using LISS-III Sensor

Jaipur, Rajasthan in India is facing scarcity of the ground water and its quality has special magnitude on crop yield that has special significance as it is the major alternate source of domestic, industrial, and irrigation water supply. This paper focuses on how to assess the water quality for irrigation practices. It is then related to the crop yield estimation. The inverse-distance weighted and modified Shepard's method of interpolation has been used for demonstrating the quality wise spatial distribution of chemical parameters using LISS-III imagery in GIS frame. The attribute database for this paper consists of detailed physiochemical analysis of ground water and soil samples collected from predetermined well locations and agricultural plots. The results depict mathematical computation of water quality in terms of suitability index and demonstrate the impact of water quality on regional crop yield.

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