Machine Learning for Precision Agriculture-Random Forest Algorithm

Abstract

India being a farming nation, its economy relevantly relies upon agribusiness production development and partnered agro-industry items. In India, farming is to an excellent extent laid low with profoundly erratic water. Climate viewpoints that incorporate temperature, precipitation information acquired from Telangana open information source, for instance, temperature,precipitation and soilparameter storehouse give knowledge into which productions are reasonable to be developed in an very specific zone.This paper centers around foreseeing the assembly of the harvest depends on this information by utilizing Random Forest calculation. Genuine information of Telangana was utilized for building the models and likewise the models were attempted with tests. The gauge will serve to the farmer to foresee the assembly of the gather before creating onto the cultivating field. To envision the gather creation in future definitely Random Forest, a for the most part noteworthy and standard directed AI calculation is utilized.

 Keywords: Crop analysis,Crop production, Machine learning, Prediction,Random Forest.