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 Mask R-CNN in toamto diseases (a and b). (A) Original; (B) annotated; (C) Mask R-CNN with ResNet-50.</div>

Computational Intelligence and Neuroscience

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Figure 14: Identification of Tomato Disease Types and Detection of Infected Areas Based on Deep Convolutional Neural Networks and Object Detection Techniques 

Figure 14 | Identification of Tomato Disease Types and Detection of Infected Areas Based on Deep Convolutional Neural Networks and Object Detection Techniques 