Dataset used in "Efficient Identification of Apple Leaf Diseases in the Wild Using Convolutional Neural Networks".
Using machine learning to diagnose foliar diseases in apple plants
This is a university project that aims to solve an apple leaf disease detection problem. Furthermore, an Android application is implemented for the launch of the model.
A large-scale dataset for classification and detection of apple leaf diseases
A DL project that helps in identifying Foliar disease in apple trees weather its leaves are healthy, are infected with apple rust, those that have apple scab, and those with more than one disease.
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