|
English
|
正體中文
|
简体中文
|
Post-Print筆數 : 27 |
Items with full text/Total items : 113656/144643 (79%)
Visitors : 51718879
Online Users : 640
|
|
|
Loading...
|
Please use this identifier to cite or link to this item:
https://nccur.lib.nccu.edu.tw/handle/140.119/143298
|
Title: | Applying artificial intelligence (AI) techniques to implement a practical smart cage aquaculture management system |
Authors: | 彭彥璁 Peng, Yan-Tsung Chang, Chung-Cheng;Wang, Jung-Hua;Wu, Jenq-Lang;Hsieh, Yi-Zeng;Wu, Tzong-Dar;Cheng, Shyi-Chy;Chang, Chin-Chun;Juang, Jih-Gau;Liou, Chyng-Hwa;Hsu, Te-Hua;Huang, Yii-Shing;Huang, Cheng-Ting;Lin, Chen-Chou;Huang, Ren-Jie;Jhang, Jia-Yao;Liao, Yen-Hsiang;Lin, Chin-Yang |
Contributors: | 資科系 |
Keywords: | Cageculture;Aquaculture;AI;IoT;Cloud system;ROV |
Date: | 2021-09 |
Issue Date: | 2023-02-06 14:30:17 (UTC+8) |
Abstract: | Purpose This paper presents our team’s results to establish an AIoT smart cage culture management system.
Methods According to the built system, the farmed field information is transmitted to the data platform of Ocean Cloud, and all collected data and analysis results can be applied to the cage culture field after the bigdata analysis.
Results This management system successfully integrates AI and IoT technologies and is applied in cage culture. Using underwater biological analysis images and AI feeding as examples, this paper explains how the system integrates AI and IoT into a feasible framework that can constantly acquire information about the health status of fish, survival rate of fish, as well as the feed residuals.
Conclusion The results of our research enable the aquaculture operators or owners to efficiently reduce the feed residual, monitor the growth of fish, and increase fish survival rate, thereby increasing the feed conversion rate. |
Relation: | Journal of Medical and Biological Engineering, pp.652–658 |
Data Type: | article |
DOI 連結: | https://doi.org/10.1007/s40846-021-00621-3 |
DOI: | 10.1007/s40846-021-00621-3 |
Appears in Collections: | [資訊科學系] 期刊論文
|
Files in This Item:
File |
Description |
Size | Format | |
index.html | | 0Kb | HTML2 | 385 | View/Open |
|
All items in 政大典藏 are protected by copyright, with all rights reserved.
|
著作權政策宣告 Copyright Announcement1.本網站之數位內容為國立政治大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,惟仍請適度,合理使用本網站之內容,以尊重著作權人之權益。商業上之利用,則請先取得著作權人之授權。
The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.
2.本網站之製作,已盡力防止侵害著作權人之權益,如仍發現本網站之數位內容有侵害著作權人權益情事者,請權利人通知本網站維護人員(
nccur@nccu.edu.tw),維護人員將立即採取移除該數位著作等補救措施。
NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(
nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.