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Volume 12 Issue 07
July 2026
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Author(s)
Sasikala R Riba Sharon J B S Sindhujas Vasundharaa R N
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.
Keywords
Crop Recommendation System
Machine Learning
Rainfall Data
Random Forest
Weather Unpredictability
Crop Planning
Paper ID
IJSARTV11I4103000
Publication Date
April 4, 2025
Research Area
Computer Science And Engineering