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a robust method of classification and recognition of coffee leaf diseases using both classical ma learning and deep learning methods, also a custom CNN. These methods were evaluated on the Arabica coffee leaf dataset known as JMuBEN.
End-to-end model pipeline consisting of classification and segmentation models to classify crop diseases with high certainty. Focus on production and real-life scenarios.