Recent Advances and Future Outlook for Artificial Intelligence in Aquaculture
The production of China's aquaculture has changed from extensive model to intensive model, the production structure is continuously adjusting and upgrading, and the production level has been continuously improved. However, as an important part of China's agricultural production, aquacultur...
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| Format: | Article |
| Language: | English |
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Editorial Office of Smart Agriculture
2020-09-01
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| Series: | 智慧农业 |
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| Online Access: | http://www.smartag.net.cn/article/2020/2096-8094/2096-8094-2020-2-3-1.shtml |
| _version_ | 1818666565013340160 |
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| author | LI Daoliang LIU Chang |
| author_facet | LI Daoliang LIU Chang |
| author_sort | LI Daoliang |
| collection | DOAJ |
| description | The production of China's aquaculture has changed from extensive model to intensive model, the production structure is continuously adjusting and upgrading, and the production level has been continuously improved. However, as an important part of China's agricultural production, aquaculture plays an important role in promoting the development of China's agricultural economy. Low labor productivity, production efficiency and resource utilization, low-quality aquatic products, and the lack of safety guarantees have severely limited the rapid development of China's aquaculture industry. Using modern information technology and intelligent devices to realize precise, automated, and intelligent aquaculture, improving fishery productivity and resource utilization is the main way to solve the above contradictions. Artificial intelligence technology in aquaculture is to use the computer technology to realize the production process of aquaculture, monitor the growth of underwater organisms, judge, discuss and analyze problems, and then perform feeding, disease treatment, and breeding. In order to understand the development status and technical characteristics of artificial intelligence technology in aquaculture, in this article, five main aspects of aquaculture, i.e., life information acquisition, aquatic product growth regulation and decision-making, fish disease prediction and diagnosis, aquaculture environment perception and regulation, and aquaculture underwater robots, combined with the practical problems in aquaculture, were mainly focused on. The application principles and necessity of artificial intelligence technology in each aspect were explained. Commonly used technical methods were point out and the classic application cases were deeply analyzed. The main problems, bottlenecks and challenges in the current development of artificial intelligence technology in aquaculture were analyzed, including turbid water, multiple interference factors, corrosion of equipment, and movement of underwater animals, etc., and reasonable research directions for these potential challenges were pointed out. In addition, the main strategic strategies to promote the transformation of aquaculture were also proposed. The development of aquaculture is inseparable from artificial intelligence technology, this review can provide references to accelerate the advancement of digitalization, precision and intelligent aquaculture. |
| first_indexed | 2024-12-17T06:06:33Z |
| format | Article |
| id | doaj.art-6c6038f6c91341db9983618dece4c900 |
| institution | Directory Open Access Journal |
| issn | 2096-8094 |
| language | English |
| last_indexed | 2024-12-17T06:06:33Z |
| publishDate | 2020-09-01 |
| publisher | Editorial Office of Smart Agriculture |
| record_format | Article |
| series | 智慧农业 |
| spelling | doaj.art-6c6038f6c91341db9983618dece4c9002022-12-21T22:00:44ZengEditorial Office of Smart Agriculture智慧农业2096-80942020-09-012312010.12133/j.smartag.2020.2.3.202004-SA007202004-SA007Recent Advances and Future Outlook for Artificial Intelligence in AquacultureLI Daoliang0LIU Chang1College of Information and Electronics Engineering, China Agricultural University, Beijing 100083, ChinaCollege of Information and Electronics Engineering, China Agricultural University, Beijing 100083, ChinaThe production of China's aquaculture has changed from extensive model to intensive model, the production structure is continuously adjusting and upgrading, and the production level has been continuously improved. However, as an important part of China's agricultural production, aquaculture plays an important role in promoting the development of China's agricultural economy. Low labor productivity, production efficiency and resource utilization, low-quality aquatic products, and the lack of safety guarantees have severely limited the rapid development of China's aquaculture industry. Using modern information technology and intelligent devices to realize precise, automated, and intelligent aquaculture, improving fishery productivity and resource utilization is the main way to solve the above contradictions. Artificial intelligence technology in aquaculture is to use the computer technology to realize the production process of aquaculture, monitor the growth of underwater organisms, judge, discuss and analyze problems, and then perform feeding, disease treatment, and breeding. In order to understand the development status and technical characteristics of artificial intelligence technology in aquaculture, in this article, five main aspects of aquaculture, i.e., life information acquisition, aquatic product growth regulation and decision-making, fish disease prediction and diagnosis, aquaculture environment perception and regulation, and aquaculture underwater robots, combined with the practical problems in aquaculture, were mainly focused on. The application principles and necessity of artificial intelligence technology in each aspect were explained. Commonly used technical methods were point out and the classic application cases were deeply analyzed. The main problems, bottlenecks and challenges in the current development of artificial intelligence technology in aquaculture were analyzed, including turbid water, multiple interference factors, corrosion of equipment, and movement of underwater animals, etc., and reasonable research directions for these potential challenges were pointed out. In addition, the main strategic strategies to promote the transformation of aquaculture were also proposed. The development of aquaculture is inseparable from artificial intelligence technology, this review can provide references to accelerate the advancement of digitalization, precision and intelligent aquaculture.http://www.smartag.net.cn/article/2020/2096-8094/2096-8094-2020-2-3-1.shtmlaquacultureartificial intelligencebehavior recognitionprediction and diagnosisdecision and controlunderwater robot |
| spellingShingle | LI Daoliang LIU Chang Recent Advances and Future Outlook for Artificial Intelligence in Aquaculture 智慧农业 aquaculture artificial intelligence behavior recognition prediction and diagnosis decision and control underwater robot |
| title | Recent Advances and Future Outlook for Artificial Intelligence in Aquaculture |
| title_full | Recent Advances and Future Outlook for Artificial Intelligence in Aquaculture |
| title_fullStr | Recent Advances and Future Outlook for Artificial Intelligence in Aquaculture |
| title_full_unstemmed | Recent Advances and Future Outlook for Artificial Intelligence in Aquaculture |
| title_short | Recent Advances and Future Outlook for Artificial Intelligence in Aquaculture |
| title_sort | recent advances and future outlook for artificial intelligence in aquaculture |
| topic | aquaculture artificial intelligence behavior recognition prediction and diagnosis decision and control underwater robot |
| url | http://www.smartag.net.cn/article/2020/2096-8094/2096-8094-2020-2-3-1.shtml |
| work_keys_str_mv | AT lidaoliang recentadvancesandfutureoutlookforartificialintelligenceinaquaculture AT liuchang recentadvancesandfutureoutlookforartificialintelligenceinaquaculture |