Crop Recommendation System Using Random Forest And Pickle For Model Deployment

• Author(s):

  Sasikala R | Riba Sharon J B | S Sindhujas | Vasundharaa R N

• Keywords:

  Crop Recommendation System, Machine Learning, Rainfall Data, Random Forest, Weather Unpredictability, Crop Planning

• Abstract:

  The Crop Recommendation System Uses Machine Learning To Analyze Historical And Seasonal Rainfall Data, Helping Farmers Select The Most Suitable Crops For Specific Regions. By Integrating Soil Properties, Weather Patterns, And Crop Needs, It Enhances Crop Planning Accuracy. The System Promotes Sustainable Farming By Improving Water Conservation And Climate Resilience. It Reduces Crop Failure Risks Due To Weather Unpredictability And Supports Efficient Resource Allocation. This Innovative Approach Boosts Agricultural Productivity And Sustainability Across Diverse Environments.

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Other Details

• Paper id:

  IJSARTV11I4103000

• Published in:

  Volume: 11 Issue: 4 April 2025

• Publication Date:

  2025-04-04

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