Crop Prediction using Machine Learning Algorithm

Author(s)	Rohit Santosh Joshi, Ojas Vinod Gurav, Rajeshwar Rahul Jadhav, Tanishk Nanasaheb Shinde
Country	India
Abstract	The primary objective of the paper is to identify the optimal model for predicting crop outcomes. This model aims to assist farmers in making informed decisions about suitable crops based on climatic conditions and soil nutrient levels. The research involves a comparative analysis of different models, evaluating their accuracy, and selecting the best-performing model. By doing so, the paper aims to contribute to sustainable agriculture practices and enhance farmers' ability to make informed choices for improved crop yields and economic outcomes.
Keywords	machine learning, crop prediction, accuracy, random forest classifier.
Published In	Volume 5, Issue 6, November-December 2023
Published On	2023-12-25
DOI	https://doi.org/10.36948/ijfmr.2023.v05i06.11095

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