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Precision fish farming: A new framework to improve production in aquaculture

机译:精准鱼类养殖:一种改善水产养殖生产的新框架

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摘要

Aquaculture production of finfish has seen rapid growth in production volume and economic yield over the last decades, and is today a key provider of seafood. As the scale of production increases, so does the likelihood that the industry will face emerging biological, economic and social challenges that may influence the ability to maintain ethically sound, productive and environmentally friendly production of fish. It is therefore important that the industry aspires to monitor and control the effects of these challenges to avoid also upscaling potential problems when upscaling production. We introduce the Precision Fish Farming (PFF) concept whose aim is to apply control-engineering principles to fish production, thereby improving the farmer's ability to monitor, control and document biological processes in fish farms. By adapting several core principles from Precision Livestock Farming (PLF), and accounting for the boundary conditions and possibilities that are particular to farming operations in the aquatic environment, PFF will contribute to moving commercial aquaculture from the traditional experience-based to a knowledge-based production regime. This can only be achieved through increased use of emerging technologies and automated systems. We have also reviewed existing technological solutions that could represent important components in future PFF applications. To illustrate the potential of such applications, we have defined four case studies aimed at solving specific challenges related to biomass monitoring, control of feed delivery, parasite monitoring and management of crowding operations.
机译:在过去的几十年中,水产养殖有鳍鱼类的产量和经济产量迅速增长,今天已成为海鲜的主要供应商。随着生产规模的增加,该行业面临新出现的生物,经济和社会挑战的可能性也将增加,这些挑战可能会影响保持道德上合理,生产性和环境友好的鱼类生产能力。因此,重要的是行业渴望监控和控制这些挑战的影响,以避免在扩大生产规模时也扩大潜在问题。我们介绍了精确养鱼(PFF)概念,其目的是将控制工程原理应用于鱼类生产,从而提高养殖者监测,控制和记录养鱼场生物过程的能力。通过适应精准畜牧业(PLF)的几项核心原则,并考虑到水生环境中养殖活动所特有的边界条件和可能性,PFF将有助于将商业水产养殖从传统的基于经验的方法转变为基于知识的方法生产体制。这只能通过增加使用新兴技术和自动化系统来实现。我们还审查了可能代表未来PFF应用程序中重要组成部分的现有技术解决方案。为了说明此类应用的潜力,我们定义了四个案例研究,旨在解决与生物质监测,饲料输送控制,寄生虫监测和拥挤操作管理有关的特定挑战。

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