A study of duck detection using deep neural network based on RetinaNet model in smart farming
In a duck cage, ducks are placed in various states. In particular, if a duck is overturned and falls or dies, it will adversely affect the growing environment. In order to prevent the foregoing, it was necessary to continuously manage the cage for duck growth. This study proposes a method using an o...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Korean Society of Animal Sciences and Technology
2024-07-01
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| Series: | Journal of Animal Science and Technology |
| Subjects: | |
| Online Access: | http://www.ejast.org/archive/view_article?doi=10.5187/jast.2023.e76 |