Crop Yield Prediction based on Indian Agriculture Using Machine Learning

DOI

No DOI

Published In

Volume 3, Issue 6 (2022)

Published Online

November-December 2022

Pages

71-74

Article Type

Research Article

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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.