Wu, Bing-Chian
Huang, Chien-Kang
Teng, Pei-Shan
Yu, Jia-Zhen
Weng, Tien-Hsiung
Lin, Shih-Shun
Wang, Han-Ching
Lo, Chu-Fang
Tien, Nai-Yueh
Funding for this research was provided by:
Higher Education Sprout Project, Ministry of Education to the Headquarters of University Advancement at National Cheng Kung University (NCKU).
Article History
Received: 15 September 2025
Accepted: 4 January 2026
First Online: 16 February 2026
Declarations
:
: The authors declare no competing interests.
: All data utilized in this study were provided by National Cheng Kung University, with all necessary permissions and authorizations secured. The data collection process employed strictly non-invasive image recording and manual measurement techniques, conducted within the routine aquaculture environment. Throughout the study, every precaution was taken to ensure that no harm, disturbance, or undue stress was inflicted upon the animals. The overarching goal of this research is to develop an automated monitoring tool designed to facilitate more effective observation of shrimp health and growth. By enabling breeders to optimize farming strategies based on precise metrics, this system aims to ultimately enhance both animal welfare and aquaculture efficiency. All experimental procedures were conducted in full compliance with relevant animal care and ethical guidelines.