Seasonal Environmental Data-Sets Simulations for Optimizing the Crop Yield

Abstract

Agricultural output is the main contributor to the national economy. But the agricultural output completely depends on the climatic and environmental conditions like rainfall, temperature, humidity, etc. The early prediction of the crop yield can facilitate farmers for better crop management. Here, in this paper, the various data sets are simulated using the machine learning technique i.e. Decision Tree algorithm. The algorithm is applied to the datasets and the comparison of the results has been done. This paper shows the influence of rainfall attribute in the crop yield. These findings will supplement to the farmers for timely action towards the crop yield management.

Keywords: Crop Yield, Decision tree, KNN, kharif

JEL Classification: C00,L15