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Volume 12 Issue 07
July 2026
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Author(s)
Indhreesh.R Sekar M Lokesh V Vignesh Kumar.M
Abstract
Agriculture Is The Backbone Of The Indian Economy. Farmers Often Struggle To Achieve Expected Crop Yields Due To Factors Like Unpredictable Weather, Soil Variability, And Lack Of Advanced Forecasting Systems. This Paper Presents A Machine Learning-based Approach For Recommending Crops Based On Historical Data, Including Soil Type, Rainfall, And Crop Productivity, Using A Decision Tree Classifier. The System Provides Valuable Insights To Farmers By Analyzing Region-specific Datasets And Enhances Their Decision-making Capabilities
Keywords
Crop Prediction
Decision Tree
Data Mining
Machine Learning
Agriculture
Paper ID
IJSARTV11I5103516
Publication Date
May 9, 2025
Research Area
Computer Science