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YOLO-Tomato: A Robust Algorithm for Tomato Detection Based on YOLOv3
Automatic fruit detection is a very important benefit of harvesting robots. However, complicated environment conditions, such as illumination variation, branch, and leaf occlusion as well as tomato overlap, have made fruit detection very challenging. In this study, an improved tomato detection model...
Shranjeno v:
| izdano v: | Sensors (Basel) |
|---|---|
| Main Authors: | , , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
MDPI
2020
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| Teme: | |
| Online dostop: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7180616/ https://ncbi.nlm.nih.gov/pubmed/32290173 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20072145 |
| Oznake: |
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