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Research Article

Crop Yield Prediction based on Indian Agriculture Using Machine Learning

Govind Yadav1 Chandrabhan Yadav2 Ashish Maurya3 Shailesh Patel4
123 Student, Department of Computer Science and Engineering, ITM Gida Gorakhpur, India. 4 Assistant Professor, Department of Computer Science and Engineering, ITM Gida Gorakhpur, India.

Published Online: November-December 2022

Pages: 71-74

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Abstract

Abstract: Agriculture, as everyone in India knows, is the bedrock of our country. The yield of almost all crops farmed or planted in India is predicted in this article. In this script, the user can predict the yield of the crop in the year that they want to produce or plant by using simple factors such as State, District, Season, and Area. The paper predicts the yield using advanced regression techniques such as the Random Forest Algorithm (RFA) of Supervised Learning and the concept of Regression to improve the algorithms. Technology advancements must be worked on across multiple disciplines, and it has already shown improvements in many fields. It will display the nitrogen, potassium, and phosphorus content ratio in the soil.

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