Deep learning-based assessment of laying-hen feather conditions using color and thermal images
基於深度學習的利用顏色和熱圖像評估蛋雞羽毛狀況
Research output: Conference Papers › RGC 33 - Other conference paper › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
| Original language | English |
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| Publication status | Presented - 20 Oct 2020 |
Conference
| Title | 2nd Asian Conference on Precision Livestock Farming (ACPLF2020) |
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| Location | China Agricultural University |
| Place | China |
| City | Beijing |
| Period | 19 - 21 October 2020 |
Link(s)
| Permanent Link | https://scholars.cityu.edu.hk/en/publications/publication(d2a7c489-dbb0-4e9a-9694-dc4c43d432d4).html |
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Bibliographic Note
Research Unit(s) information for this publication is provided by the author(s) concerned.
Citation Format(s)
Deep learning-based assessment of laying-hen feather conditions using color and thermal images. / Huang, Endai; Mao, Axiu; Liu, Kai et al.
2020. 2nd Asian Conference on Precision Livestock Farming (ACPLF2020), Beijing, China.
2020. 2nd Asian Conference on Precision Livestock Farming (ACPLF2020), Beijing, China.
Research output: Conference Papers › RGC 33 - Other conference paper › peer-review
