Krishak Sahayata: Prediction of Best Crop Yield

EasyChair Preprint 2413

Abstract

Optimal crop yield forms the need for society to have people lead a healthy lifestyle for which various techniques and tools are employed which vary from predicting crop growth to identifying diseases using IoT, Machine Learning, Image Processing, etc. However, there is a need to develop a system to estimate the yield of crops which would be best suited for the specific set of climatic conditions. The focus of this paper is to provide a comparative study of the existing technologies and further propose Random Forest as one of the algorithms for enhancing the accuracy and efficiency of the yield production.

Keyphrases: Agriculture, Yield Prediction, machine learning

@booklet{EasyChair:2413,
  author    = {Gresha Bhatia and Urjita Bedekar and Simran Bhagwandasani and Rahul Bhatia and Pranit Naik},
  title     = {Krishak Sahayata: Prediction of Best Crop Yield},
  howpublished = {EasyChair Preprint 2413},
  year      = {EasyChair, 2020}}