Statistical features learning to predict the crop yield in regional areas

<span>The plethora of information presented in the form benchmark dataset plays a significant role analyzing and understanding crop yield certain regions regional territory. The may be attributes makes prediction various machine learning. considered for processing involves data cleaning initially followed by binning to reduce missing data. collected is subjected clustering items based on patterns similarity, that are similar nature fed system with similarity measure, which distance from its related item leading hyper parameters while calculating yield. used ascertain exhibit nearest neighbor represented another attribute. Thus, research method has yielded an accuracy 89.62% classification predicting agricultural areas Karnataka region.</span>