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This paper presents a low-resource AI model for detecting plant diseases on mobile devices, utilizing a dataset of 500 leaf images and a compressed CNN model. The model achieves an accuracy of 87% while maintaining low memory usage of less than 50MB. The findings suggest that affordable AI solutions can significantly aid farmers in early disease detection.

Author

byte7318

Language

EN