<ul><li>Agriculture in India faces challenges such as low productivity and adverse climate change.</li><li>Traditional methods like green revolution and organic farming have shown suboptimal results.</li><li>This study focuses on using environmental and economic factors for crop recommendation with machine learning techniques like Random Forest and SVM models.</li><li>Random Forest model based on Lag Variables is found to be the most effective for optimal crop selection in the Indian agricultural context.</li></ul>

Crop recommendation with machine learning: leveraging environmental and economic factors for optimal crop selection

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