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Internationally, agricultural research has increased the optimization of economic profit and is a very large and crucial field to acquire additional benefits. But it can be improved by utilizing various technological tools, resources, and processes. Nowadays, machine learning techniques helps farmers in making informed decision about which crop to cultivate in their land. This research offers empirical proof that we are able to categorize agricultural area’s dataset according to soil parameters utilizing different machine learning classification techniques. Additionally, in order to suggest the appropriate crop for higher yield, we looked into the most effective algorithm with strong prediction accuracy.

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Efficient Crop Recommendation System: A Machine Learning Based Approach

  • 会议论文

  • 发表日期：

    2025年

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  • Swagatika Tripathy,
  • Dibya Ranjan Das Adhikary,
  • Premansu Sekhara Rath

摘要

Internationally, agricultural research has increased the optimization of economic profit and is a very large and crucial field to acquire additional benefits. But it can be improved by utilizing various technological tools, resources, and processes. Nowadays, machine learning techniques helps farmers in making informed decision about which crop to cultivate in their land. This research offers empirical proof that we are able to categorize agricultural area’s dataset according to soil parameters utilizing different machine learning classification techniques. Additionally, in order to suggest the appropriate crop for higher yield, we looked into the most effective algorithm with strong prediction accuracy.