# Crop Disease Diagnosis with Deep Learning-Based Image Captioning and Object Detection
## 4 Result
### Result Analysis  
We designed the solution where an input crop image generates a diagnosis in a detailed sentence and shows the infected area with bounding boxes. This output can help users to know which part is damaged and find a way to manage it. Figure 18 illustrates the final output of our solution. When the user takes a photo of the infected crops, such as the red pepper with Anthracnose in Figure 18a, the solution generates the diagnosis and bounding boxes on the screen. The diagnosis generated the sentence'\(\perp\)  
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