Abstract: Agriculture plays a vital role in global food security, and farmers constantly seek ways to optimize their crop selection to maximize yields and profits. However, selecting the most suitable crop for a specific region or environment can be challenging due to various factors such as climate, soil conditions, and water availability. The Crop Recommendation System addresses this challenge by leveraging machine learning algorithms to analyze environmental data and provide personalized crop recommendations.
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DOI:
10.17148/IJARCCE.2024.13845
