Plant Stress Detection
Upload an image of a crop leaf to detect potential stress, disease, or nutrient deficiencies using our standard computer vision model.
About This Demo
The Problem: Traditional disease detection takes too long, and time is crucial—diseases need to be treated in early stages.
Our "Hack": We speed up the process to a matter of seconds. By using AI, we make instant diagnosis possible.
The Technology: We trained our model using the ResNet-18 architecture and the PlantVillage dataset (70k+ images of 38 leaf condition types).
💡 In this video demonstration:
- Husan showcases the model detecting a healthy corn leaf.
- The model identifies grape leaf blight with near 100% confidence.
Future Roadmap: We plan to implement hyperspectral and thermal imaging integrated with drones. We are also working on a Telegram bot to let many Uzbek farmers access our platform easily.
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Upload an image and run analysis to see results here.