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What is Efficient Rice Leaf Disease Detection about?

This research project proposes a resource-efficient method for detecting rice leaf diseases using mobile devices, focusing on the development of machine learning models that require less computational power. The study utilizes MobileNet architecture and a dataset of 3,336 images to train models for four classes of rice leaf diseases, comparing the performance of MobileNetV3, DenseNet169, and InceptionV3. The findings suggest that MobileNetV3 is suitable for deployment on mobile devices due to its accuracy a

Author

Asif Aman

Language

EN