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Number of items: 5.

Zhao, Ziang ORCID: https://orcid.org/0009-0004-6600-5581, Hicks, Yulia ORCID: https://orcid.org/0000-0002-7179-4587, Sun, Xianfang ORCID: https://orcid.org/0000-0002-6114-0766 and Luo, Chaoxi 2025. FruitQuery: A lightweight query-based instance segmentation model for in-field fruit ripeness determination. Smart Agricultural Technology 12 , 101068. 10.1016/j.atech.2025.101068
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Zhao, Ziang ORCID: https://orcid.org/0009-0004-6600-5581, Hicks, Yulia ORCID: https://orcid.org/0000-0002-7179-4587, Sun, Xianfang, McGuinness, Benjamin J. and Lim, Hin S. 2025. A novel self-supervised method for in-field occluded apple ripeness determination. Computers and Electronics in Agriculture 234 , p. 110246. 10.1016/j.compag.2025.110246
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Zhao, Ziang ORCID: https://orcid.org/0009-0004-6600-5581 2025. Deep learning for fruit ripeness determination. PhD Thesis, Cardiff University.
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Zhao, Ziang ORCID: https://orcid.org/0009-0004-6600-5581, Hicks, Yulia ORCID: https://orcid.org/0000-0002-7179-4587, Sun, Xianfang ORCID: https://orcid.org/0000-0002-6114-0766, McGuiness, Benjamin and Lim, Hin 2024. Lightweight and efficient attention-based CNN models for In-field strawberry instance segmentation. Presented at: 2024 IEEE 20th International Conference on Automation Science and Engineering, Bari, Italy, 28 August - 1 September 2024. 2024 IEEE 20th International Conference on Automation Science and Engineering. IEEE, pp. 3294-3299. 10.1109/CASE59546.2024.10711802
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Zhao, Ziang ORCID: https://orcid.org/0009-0004-6600-5581, Hicks, Yulia ORCID: https://orcid.org/0000-0002-7179-4587, Sun, Xianfang and Luo, Chaoxi 2023. Peach ripeness classification based on a new one-stage instance segmentation model. Computers and Electronics in Agriculture 214 , 108369. 10.1016/j.compag.2023.108369
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