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

<div>Examples of failed cases of the Faster R-CNN in three tomato diseases (a–c). (A) Original; (B) annotated; (C) Faster R-CNN with VGG-16; (D) Faster R-CNN with ResNet-50; (E) Faster R-CNN with ResNet-101; (F) Faster R-CNN with MobileNet.</div>

Computational Intelligence and Neuroscience

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Figure 13

Figure 13: Identification of Tomato Disease Types and Detection of Infected Areas Based on Deep Convolutional Neural Networks and Object Detection Techniques 

Figure 13 | Identification of Tomato Disease Types and Detection of Infected Areas Based on Deep Convolutional Neural Networks and Object Detection Techniques 