Identification of Tomato Disease Types and Detection of Infected Areas Based on Deep Convolutional Neural Networks and Object Detection Techniques

This study develops tomato disease detection methods based on deep convolutional neural networks and object detection models. Two different models, Faster R-CNN and Mask R-CNN, are used in these methods, where Faster R-CNN is used to identify the types of tomato diseases and Mask R-CNN is used to de...

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Detalles Bibliográficos
Autores principales: Wang, Qimei, Qi, Feng, Sun, Minghe, Qu, Jianhua, Xue, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6942764/
https://www.ncbi.nlm.nih.gov/pubmed/31933623
http://dx.doi.org/10.1155/2019/9142753

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6942764/
https://www.ncbi.nlm.nih.gov/pubmed/31933623
http://dx.doi.org/10.1155/2019/9142753

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