Abstract
The project is motivated from general observation on the following facts in Indian agriculture system. Traditionally, in order to know the fertility of the soil, farmers collect soil samples from their field and send it to nearby soil testing laboratories. These laboratories use primitive methods which take a long time to obtain results. In addition to that, soil nutrients also change over time. The proposed method efficiently estimates soil nutrients based on a sensor network that helps in predicting suitable crops for that soil under test. The sensors of the hardware kit collect nutrient level from the soil sample and data is stored through Raspberry-Pi. Based on the values obtained from the sensor the system makes predictions using the classification algorithms. Subsequently a text message is sent to the registered farmer with the best crop predicted. Based upon the suggested/desired crop the fertilizer is suggested. The same is also displayed on a web page.
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