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Machine learning and deep learning methods are used in the classification of plant diseases. It takes a long time to extract features in machine learning. In deep learning, computers are required to process big data depending on the size of the data set. With Google Teachable Machine, faster results can be obtained without the need for feature extraction or very powerful computers. For this purpose, a model was created with four apple diseases using the data set related to apple diseases. In this model, results of over 95% were obtained in diseases.
Odabaş et al. (Wed,) studied this question.