回到未来:物联网改善水产养殖:水产养殖需求的水参数实时监测和算法预测

M. Lafont, Samuel Dupont, Philippe Cousin, Ambre Vallauri, C. Dupont
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引用次数: 21

摘要

几十年来,水产养殖是一个蓬勃发展的市场,在世界范围内已经超过了渔业。与农业一样,水产养殖多年来一直是一场技术革命,以应对该行业的挑战。物联网在该领域的发展将提高其可持续性和盈利能力,并允许应对数字化。水质是水产养殖的核心,掌握水质是成功的关键。能够测量水质的传感器与远程传输的集成打开了实时监测的可能性。大量数据的产生,使得对水参数演化的预测和预测成为可能。因此,物联网对人工智能的贡献使水产养殖业能够采取必要的技术转变,以实现环境可持续性的愿景。在本文中,我们描述了在水产养殖环境中使用物联网实时监测水质和开发预测系统的反馈。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Back to the future: IoT to improve aquaculture : Real-time monitoring and algorithmic prediction of water parameters for aquaculture needs
Aquaculture is a booming market since several decades and has surpassed fisheries worldwide. Like agriculture, aquaculture has known for some years a technological revolution to meet the challenges of the industry. The development of IoT in this sector will improve its sustainability and profitability and allows to answer to the digitization. Water quality is at the heart of aquaculture and its mastery is the key to success. The integration of sensors able to measure water quality with long-range transmission opens the possibility of real-time monitoring. The generation of a large variety and a large amount of data make it possible to anticipate and predict the evolution of water parameters. The contribution of IoT for artificial intelligence therefore allows aquaculture to take the technological turn necessary for the growth of this area with an environmental sustainability vision. In this paper, we describe a feedback from the use of IoT for the real-time monitoring of water quality and the development of prediction systems in an aquaculture context.
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