Rice Crop Yield Forecasting Using Random Forest Algorithm SML

Abstract

Rice is the principal and dominant crop of India after wheat. India being at second position in the world after China often cited as main contributor to the rice production and accounts for 20% of the world's total production. The amount of hectares in India under rice cultivation is as high as 40 million hectares in 20 states. India is also the largest exporter of rice in the world crossing 100 million tones. The sustainability and productivity of rice growing areas is dependent on suitable climatic conditions. Developing better techniques to predict crop productivity in different climatic conditions can assist farmer and other stakeholders in better decision making in terms of agronomy and crop choice. To predict the crop yield in future accurately, Random Forest, a most powerful and popular supervised machine learning algorithm is used.