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A very large section of the Indian population depends on farming to meet their ends. But due to several reasons - natural or man-made, not limited to weather, proper irrigation mechanisms and finance, many a section of this society are often unable to reach their expected sustenance. A proper guidance mechanism that helps the farmers or aspirants select the suitable choice of crop to be cultivated in an area based on the climatic and soil conditions will increase the agricultural productivity per unit of land. In this paper, we propose a predictive system that aids the farmers in crop selection based on different climatic and soil parameters available from a dataset pertaining to Indian subcontinent. An IOT system will determine the climatic (temperature, humidity etc) and soil (pH, moisture, etc) conditions in the area of choice. This is input to the predictive system which predicts the choice of crop. The developed system can be adopted to achieve a healthy crop growth that can be adapted by agricultural practices.

An IOT Based Crop Selection And Productivity Enhancement System For Indian Farmers