Tomato detection based on modified YOLOv3 framework
Abstract Fruit detection forms a vital part of the robotic harvesting platform. However, uneven environment conditions, such as branch and leaf occlusion, illumination variation, clusters of tomatoes, shading, and so on, have made fruit detection very challenging. In order to solve these problems, a...
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| Formato: | article |
| Lenguaje: | EN |
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Nature Portfolio
2021
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| Acceso en línea: | https://doaj.org/article/7b11b5841271447a86068d5cee23a7c9 |
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