Machine Learning-based Smart Farming with Matlab

Author(s)	Prof. Nayana Nanarao Ghuikar
Country	India
Abstract	A key part of the Indian economy is agriculture. However, India's agriculture is currently going through a structural shift that is creating a catastrophe. The sole solution to The crunch is to do everything within our power to turn agriculture into a lucrative business and entice farmers to keep growing crops. This project would use machine learning to assist farmers in making informed decisions about their crops in an attempt to move in this direction. The goal of this study is to employ supervised machine learning algorithms to predict the crop that will be grown based on historical data and environmental conditions. Based on meteorological conditions, this study will provide a crop selection strategy for maximizing crop production. Using seasonal weather forecasting, it also recommends the ideal time to plant certain crops. The Random Forest classification technique is used for selecting appropriate crops, while machine learning algorithms are used to predict the weather.
Keywords	Machine Learning, Random Forest
Field	Computer
Published In	Volume 7, Issue 2, March-April 2025
Published On	2025-04-29
DOI	https://doi.org/10.36948/ijfmr.2025.v07i02.43081
Short DOI	https://doi.org/g9g76p

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International Journal For Multidisciplinary Research