Abstract :

Agriculture Is A Vital Sector That Supports Economic Growth And Ensures Food Security. Farmers Often Face Challenges In Selecting Suitable Crops Due To Variations In Soil Nutrients, Changing Weather Conditions, And Limited Access To Expert Agricultural Guidance. The AI Based Agriculture Advisory System Is A Web-based Application Developed To Assist Farmers In Making Accurate Crop Selection Decisions Using Artificial Intelligence (AI) And Machine Learning (ML). The System Analyzes Important Agricultural Parameters Such As Nitrogen (N), Phosphorus (P), Potassium (K), Soil PH, Temperature, Humidity, And Rainfall To Recommend The Most Suitable Crop For Cultivation. It Is Developed Using Python, Flask, HTML, CSS, And JavaScript, With A Machine Learning Model Trained On The Agricultural Recommendation Dataset. The Application Provides A Simple And User-friendly Interface That Enables Farmers To Enter Soil And Environmental Data And Receive Instant Recommendations. The Proposed System Improves Prediction Accuracy, Reduces Manual Effort, Promotes Efficient Resource Utilization, And Supports Sustainable Farming Practices, Helping Farmers Increase Productivity And Make Informed Agricultural Decisions.

Published:

29-7-2026

Issue:

Vol. 26 No. 7 (2026)

Page Nos:

1406-1412

Section:

Articles

License:

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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