Research on Crop Detection Algorithm Based on Improved YOLOv7
und
16. Juni 2025
Über diesen Artikel
Online veröffentlicht: 16. Juni 2025
Seitenbereich: 10 - 19
DOI: https://doi.org/10.2478/ijanmc-2025-0012
Schlüsselwörter
© 2025 Xiaoqi Shi et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Figure 1.
Figure 2.
Figure 3.
Figure 4.
Figure 5.
Figure 6.
Figure 7.
Figure 8.
Figure 9.
Figure 10.
Figure 11.
Figure 12.
Figure 13.
Figure 14.
Table of fruit types and corresponding number of pictures
| Name and number of vegetables | Name and number of fruit |
|---|---|
| Cabbage (200) | Apple (200) |
| Capsicum (200) | Banana (200) |
| Carrot (200) | Pear (200) |
| Cauliflower (200) | Pineapple (200) |
| Corn (200) | Pomegranate (200) |
| Eggplant (200) | Grapes (200) |
| Cabbage (200) | Apple (200) |
Comparison table of detection accuracy
| Type | Evaluation metrics | ||
|---|---|---|---|
| Detection Times | mAP/% (Pre-improved) | mAP/% (Improved) | |
| Apple | 30 | 0.79 | 0.85 |
| Banana | 30 | 0.74 | 0.77 |
| Pear | 30 | 0.79 | 0.81 |
| Pineapple | 30 | 0.81 | 0.79 |
| Pomegranate | 30 | 0.68 | 0.68 |
| Grapes | 30 | 0.50 | 0.57 |
| Watermelon | 30 | 0.73 | 0.78 |
| Cabbage | 30 | 0.89 | 0.91 |
| Capsicum | 30 | 0.55 | 0.58 |
| Carrot | 30 | 0.83 | 0.89 |
| Cauliflower | 30 | 0.55 | 0.64 |
| Corn | 30 | 0.46 | 0.45 |
| Eggplant | 30 | 0.74 | 0.71 |
| Onion | 30 | 0.88 | 0.95 |