Detection of plant diseases via computer vision based systems are being used to identify plant diseases promptly, to prevent the spread of the disease. In this work, we present a system for classifying plant diseases from photographs of the diseased parts of the plant. The system is trained using …

This work describes the plant identification system that we submitted to the ExpertLifeCLEF plant identification campaign in 2018. We fine-tuned two pre-trained deep learning architectures (SeNet and DensNetwork) using images shared by the CLEF organizers in 2017. Our main runs are 4 ensembles …