Survey of classification algorithms for formulating yield prediction accuracy in precision agriculture

Precision agriculture is the implementation of the recent technology in agriculture. Huge amount of data is collected in agriculture and various techniques of data mining are used to make efficient use of it. In this paper, we have discussed various algorithms related to classification techniques of data mining. These algorithms are implemented on a data set that has been collected over the years for the yield prediction of soybean crop. Further, a comparative analysis is done to show which classification algorithm is best suited for predicting the yield with respect to classification techniques.