DiaMOS Plant Dataset: A Dataset for Diagnosis and Monitoring Plant Disease

{"references": ["Fenu, G.; Malloci, F.M. DiaMOS Plant: A Dataset for Diagnosis and Monitoring Plant Disease. Agronomy 2021, 11, 2107. https://doi.org/10.3390/agronomy11112107", "G. Fenu and F. M. Malloci,\"Using Multi-Output Learning to Diagnose Plant Disease and Stress Severity\", Complexity, Article ID 6663442,doi.org/10.1155/2021/6663442,2021.", "Git code (2021): https://github.com/mallociFrancesca/leaf-disease-toolbox.git"]}

DiaMOS Plant, is a dataset for diagnosis and monitoring plant disease, collected in the field, consisting of 3505 images, depicting 4 leaf diseases with 4 level of severity and 4 fruit stages. Cite as: Fenu, G.; Malloci, F.M. DiaMOS Plant: A Dataset for Diagnosis and Monitoring Plant Disease. Agronomy 2021, 11, 2107. https://doi.org/10.3390/agronomy11112107

Related Organizations

University of Cagliari
Italy

Keywords

digital agriculture, classification, detection, deep learning, plant disease

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