Research Article
Review of Machine learning models for Crop Yield Prediction
@INPROCEEDINGS{10.4108/eai.7-12-2021.2314568, author={Aravind T}, title={Review of Machine learning models for Crop Yield Prediction}, proceedings={Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India}, publisher={EAI}, proceedings_a={ICCAP}, year={2021}, month={12}, keywords={agriculture machine learning parameters}, doi={10.4108/eai.7-12-2021.2314568} }- Aravind T
Year: 2021
Review of Machine learning models for Crop Yield Prediction
ICCAP
EAI
DOI: 10.4108/eai.7-12-2021.2314568
Abstract
Agriculture is not only a necessary component of human life, but it is also one of India's most important sources of employment. Agriculture employs more than half of our country's population. It is the economic backbone of our country. Farmers can benefit from early diagnosis and control of issues in order to increase crop productivity. Crop yield prediction is an essential scientific area that aids in food security. Based on many parameters, a machine learning model will grasp the pattern of the crop and yield and estimate the yield of the region in which the farmer would crop. The machine learning algorithm can then be distributed after implementation with a web-based visual application that is convenient to use. The results obtained will be granted access to the farmers. This study investigates various machine learning models that are employed in predicting the crop yield.
