A Crop Disease Detector |
Author(s): |
| Vaibhavi Vijaykumar Gore , Bhagwant Institute of Technology, Barshi; Rutuja Santosh Kutwal, Bhagwant Institute of Technology, Barshi; Sadik Dilkhush Korbu, Bhagwant Institute of Technology, Barshi; Kranti Suresh Jadhavar, Bhagwant Institute of Technology, Barshi |
Keywords: |
| Crop Disease Detection, Artificial Intelligence, Deep learning, Image Processing, Leaf Disease Classification, Cloud based Interface, Real-Time Disease Predication |
Abstract |
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Crop diseases significantly impact agricultural productivity, causing major economic losses globally. Early and accurate disease detection can help farmers take timely preventive actions. This research proposes an AI-powered Crop Disease Detection System that analyzes leaf images using Google's Gemini Vision Model to predict disease name, severity, cure steps, and fertilizer recommendations. The model processes uploaded images and returns structured agricultural insights. Experimental results demonstrate high accuracy and real-time processing capability, making the system suitable for smart farming applications. |
Other Details |
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Paper ID: IJSRDV13I100031 Published in: Volume : 13, Issue : 10 Publication Date: 01/01/2026 Page(s): 23-24 |
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