COMPARISON OF DIFFERENT DATA MINING APPROACHES FOR CROP YIELD PREDICTION

Abstract

the effective yield prediction for multiple farming practices included is also a critical concern for agriculture planning purposes. in order to pursue realistic and efficient approaches to this issue, data mining is an essential approach. many similarities between data mining and computer teaching approaches have been performed using the most reliable methodology for crop yield prediction in last few years. data mining, particularly in the field of crop yields analysis and prediction, is therefore a new research area in agriculture. study has become easier in recent times due to the amount of farm data is rising every day, as is the case for many other industries. in this review work, we discuss about various crop yield prediction models/approaches utilizing a thorough analysis of previous works in modern agricultural techniques.