数字化转型时代智能养鱼场选址可行性评价研究——以金堤市为例

Q4 Medicine
Sang Geun Kim, Young Cheon Seo
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引用次数: 0

摘要

国内渔业的严重性存在根本性问题,开始主要是由于渔业资源枯竭,渔业工人老龄化,渔船和设备老化,沿海渔业生产(捕捞和捕捞方法)由于非法过度捕捞,全球变暖,环境污染等问题每年持续下降。尽管如此,全球海鲜消费量仍在增加,人均肉类消费量正在接近。为此,只有进一步扩展智能管理系统,进一步发展现有的水产养殖业(农场养殖),超越传统的捕捞方式,创新地改善陆地上的内陆水产养殖,才能建立持续稳定的供应体系。因此,智能养殖将能够利用人工智能(AI)、大数据技术、信息通信技术(ICT)和物联网(IoT)快速识别养殖条件、水温和水质的变化,并对情况做出反应,进行稳定的养殖。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Study on the Evaluation of the Location Feasibility of of Smart Fish Farms in the Digital Transformation Era: Focusing on Gimje City
The seriousness of the domestic fisheries industry has fundamental problems, starting mainly due to the depletion of fishery resources, the aging of fishing workers, and the aging of fishing boats and equipment, and the production of coastal fishing (capturing and fishing methods) continues to decline every year due to problems such as illegal overfishing, global warming, and environmental pollution. Despite this situation, global seafood consumption is increasing and the per capita meat consumption is approaching. To this end, a continuous and stable supply system can be established only by further expanding the smart management system that further develops the existing aquaculture industry (farm culture) beyond the traditional fishing method and innovatively improves the inland aquaculture on land. As a result, smart farming will be able to quickly recognize changes in aquaculture conditions, water temperature, and water quality by utilizing artificial intelligence (AI), big data technology, information and communication technology (ICT), and the Internet of Things (IoT), respond to the situation, and engage in stable aquaculture.
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来源期刊
Korean Journal of Dermatology
Korean Journal of Dermatology Medicine-Dermatology
CiteScore
0.10
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