Plant disease identification from individual lesions and spots using deep learning

Amara, 2017, A deep learning-based approach for banana leaf diseases classification, 79 Barbedo, 2013, Digital image processing techniques for detecting, quantifying and classifying plant diseases, SpringerPlus, 2, 660, 10.1186/2193-1801-2-660 Barbedo, 2016, A review on the main challenges in automatic plant disease identification based on visible range images, Biosystems Engineering, 144, 52, 10.1016/j.biosystemseng.2016.01.017 Barbedo, 2018, Factors influencing the use of deep learning for plant disease recognition, Biosystems Engineering, 172, 84, 10.1016/j.biosystemseng.2018.05.013 Barbedo, 2018, Impact of dataset size and variety on the effectiveness of deep learning and transfer learning for plant disease classification, Computers and Electronics in Agriculture, 153, 46, 10.1016/j.compag.2018.08.013 Bengio, 2012, Deep learning of representations for unsupervised and transfer learning, Proceedings of the Workshop on Unsupervised and Transfer Learning, 27, 17 Brahimi, 2017, Deep learning for tomato diseases: Classification and symptoms visualization, Applied Artificial Intelligence, 31, 299, 10.1080/08839514.2017.1315516 Crosas, 2011, The dataverse network®: An open-source application for sharing, discovering and preserving data, D-Lib Magazine, 17 Cruz, 2017, X-FIDO: An effective application for detecting olive quick decline syndrome with deep learning and data fusion, Frontiers in Plant Science, 8, 1741, 10.3389/fpls.2017.01741 DeChant, 2017, Automated identification of northern leaf blight-infected maize plants from field imagery using deep learning, Phytopathology, 107, 1426, 10.1094/PHYTO-11-16-0417-R Ferentinos, 2018, Deep learning models for plant disease detection and diagnosis, Computers and Electronics in Agriculture, 145, 311, 10.1016/j.compag.2018.01.009 Fuentes, 2017, A robust deep-learning-based detector for real-time tomato plant diseases and pests recognition, Sensors, 17, 2022, 10.3390/s17092022 Hughes, 2015, An open access repository of images on plant health to enable the development of mobile disease diagnostics, arXiv, 1511, 08060 Irwin, 2002 Kamilaris, 2018, Deep learning in agriculture: A survey, Computers and Electronics in Agriculture, 147, 70, 10.1016/j.compag.2018.02.016 Liu, 2018, Identification of apple leaf diseases based on deep convolutional neural networks, Symmetry, 10 Lu, 2017, Identification of rice diseases using deep convolutional neural networks, Neurocomputing, 267, 378, 10.1016/j.neucom.2017.06.023 Mohanty, 2016, Using deep learning for image-based plant disease detection, Frontiers in Plant Science, 7, 10.3389/fpls.2016.01419 Oppenheim, 2017, Potato disease classification using convolution neural networks, Advances in Animal Biosciences: Precision Agriculture, 8, 244, 10.1017/S2040470017001376 Sansone, 2012, Toward interoperable bioscience data, Nature Genetics, 44, 121, 10.1038/ng.1054 Silvertown, 2009, A new dawn for citizen science, Trends in Ecology and Evolution, 24, 467, 10.1016/j.tree.2009.03.017 Wilkinson, 2016, The FAIR Guiding Principles for scientific data management and stewardship, Scientific Data, 3, 160018, 10.1038/sdata.2016.18