Artificial Neural Networks for Soil Quality and Crop Yield Prediction using Machine Learning

Abstract

Agriculture is the main stream on which farmers depend. Many surveys have proved that suicide rate of farmers is proliferate over years. The main reasons for the increase in suicide rate are weather conditions, debts, lack of details about the soil. In some remote areas farmers lack information about soil quality, soil nutrients, soil composition and may choose wrong crop to sow which results in less yield. So as to overcome the issues faced by farmers we are trying to implement a model using Artificial Neural Networks (ANN) which predicts the soil quality taking input as several important parameters related to soil. This paper mainly focuses on predicting the crop yield using the ANN which is completely a software solution and also recommends suitable fertilizers to gain high yield of crops.