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Automated Soil Nutrient Monitoring for Improved Agriculture

Agriculture contributes only 22% of income to Indian economy. The major cause to this drop is natural calamity and variations in the nutrients of soil due to environ-mental changes. Overcoming the awful situations due to natural calamity challenges is arduous. Technology can be applied to understand the variations in the soil nutrient thereby helping the farmer community to find out a positive solution. In this paper we have proposed a cost effective model that is deployed using sensors so that the analysis of the soil can be done in most simplest manner. The model discussed here has been experimented and proved to provide 90% accuracy.