A Review on Prediction of Crop Yield using Machine Learning Techniques

Population is increasing day by day in India and demand for food is also increasing, due to this reason, agriculture is very essential. Advanced technologies like data mining techniques, machine learning techniques, remote sensing and image processing, etc., can be used for prediction of crop yield. Machine Learning techniques play a significant role in crop yield prediction using different parameters like temperature, rain fall, soil parameters, area of sowing, etc,. This paper carried out a comparative study on various machine learning techniques like supervised and unsupervised learning methods to predict crop yield. It has been observed that classification techniques give high accuracy in prediction of multiple crop yields with different parameters than regression and unsupervised learning methods