{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,23]],"date-time":"2026-07-23T16:20:49Z","timestamp":1784823649645,"version":"3.55.0"},"reference-count":32,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2024,5,2]],"date-time":"2024-05-02T00:00:00Z","timestamp":1714608000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Guangdong Intelligence Platform of the Prawn Modern Seed Industry","award":["2022GCZX001"],"award-info":[{"award-number":["2022GCZX001"]}]},{"name":"Guangdong Intelligence Platform of the Prawn Modern Seed Industry","award":["2020B1212060069"],"award-info":[{"award-number":["2020B1212060069"]}]},{"name":"Guangdong Intelligence Platform of the Prawn Modern Seed Industry","award":["ZJW-2023-04"],"award-info":[{"award-number":["ZJW-2023-04"]}]},{"name":"Guangdong Provincial Key Laboratory of Cyber-Physical Systems","award":["2022GCZX001"],"award-info":[{"award-number":["2022GCZX001"]}]},{"name":"Guangdong Provincial Key Laboratory of Cyber-Physical Systems","award":["2020B1212060069"],"award-info":[{"award-number":["2020B1212060069"]}]},{"name":"Guangdong Provincial Key Laboratory of Cyber-Physical Systems","award":["ZJW-2023-04"],"award-info":[{"award-number":["ZJW-2023-04"]}]},{"name":"Southern Marine Science and Engineering Guangdong Laboratory (Zhanjiang)","award":["2022GCZX001"],"award-info":[{"award-number":["2022GCZX001"]}]},{"name":"Southern Marine Science and Engineering Guangdong Laboratory (Zhanjiang)","award":["2020B1212060069"],"award-info":[{"award-number":["2020B1212060069"]}]},{"name":"Southern Marine Science and Engineering Guangdong Laboratory (Zhanjiang)","award":["ZJW-2023-04"],"award-info":[{"award-number":["ZJW-2023-04"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Shrimp fry counting is an important task for biomass estimation in aquaculture. Accurate counting of the number of shrimp fry in tanks can not only assess the production of mature shrimp but also assess the density of shrimp fry in the tanks, which is very helpful for the subsequent growth status, transportation management, and yield assessment. However, traditional manual counting methods are often inefficient and prone to counting errors; a more efficient and accurate method for shrimp fry counting is urgently needed. In this paper, we first collected and labeled the images of shrimp fry in breeding tanks according to the constructed experimental environment and generated corresponding density maps using the Gaussian kernel function. Then, we proposed a multi-scale attention fusion-based shrimp fry counting network called the SFCNet. Experiments showed that our proposed SFCNet model reached the optimal performance in terms of shrimp fry counting compared to CNN-based baseline counting models, with MAEs and RMSEs of 3.96 and 4.682, respectively. This approach was able to effectively calculate the number of shrimp fry and provided a better solution for accurately calculating the number of shrimp fry.<\/jats:p>","DOI":"10.3390\/s24092916","type":"journal-article","created":{"date-parts":[[2024,5,2]],"date-time":"2024-05-02T08:42:57Z","timestamp":1714639377000},"page":"2916","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Automatic Shrimp Fry Counting Method Using Multi-Scale Attention Fusion"],"prefix":"10.3390","volume":"24","author":[{"given":"Xiaohong","family":"Peng","sequence":"first","affiliation":[{"name":"Faculty of Mathematics and Computer Science, Guangdong Ocean University, Zhanjiang 524088, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0431-2020","authenticated-orcid":false,"given":"Tianyu","family":"Zhou","sequence":"additional","affiliation":[{"name":"Faculty of Mathematics and Computer Science, Guangdong Ocean University, Zhanjiang 524088, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ying","family":"Zhang","sequence":"additional","affiliation":[{"name":"Faculty of Mathematics and Computer Science, Guangdong Ocean University, Zhanjiang 524088, China"},{"name":"Southern Marine Science and Engineering Guangdong Laboratory, Zhanjiang Bay Laboratory, Zhanjiang 524000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaopeng","family":"Zhao","sequence":"additional","affiliation":[{"name":"Faculty of Mathematics and Computer Science, Guangdong Ocean University, Zhanjiang 524088, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2024,5,2]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"269","DOI":"10.1111\/jwas.12745","article-title":"Automatic counting methods in aquaculture: A review","volume":"52","author":"Li","year":"2021","journal-title":"J. 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