Deep learning for detection cassava leaf disease
نویسندگان
چکیده
Abstract In this research, an intelligent system for detecting cassava leaf disease has been developed by utilizing the MobileNetV2 deep learning model and displaying it using a python graphical user interface (GUI). There are five classes used in study, namely Cassava Bacterial Blight (CBB), Brown Steak Disease (CBSD), Green Mite (CGM), Mosaic (CMD) Healthy. The results showed that overall accuracy of test data obtained was 65,6%. GUI application program made to be operated efficiently beginners can farmers field.
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ژورنال
عنوان ژورنال: Journal of physics
سال: 2021
ISSN: ['0022-3700', '1747-3721', '0368-3508', '1747-3713']
DOI: https://doi.org/10.1088/1742-6596/1751/1/012072