An End-to-End Augmented Reality Solution to Support Aquaculture Farmers with Data Collection, Storage, and Analysis

Mingze Xi, Matt Adcock, John McCulloch
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引用次数: 9

Abstract

Augmented reality (AR) is being rapidly adopted by industries, such as logistics, manufacturing and military. However, one of the extremely under-explored yet significant areas is the primary production industry, and as a major source of food and nutrition, seafood production has always been a priority for many countries. Aquaculture farming is a highly dynamic, unpredictable and labour-intensive process. In this paper, we discuss the challenges in aquaculture farm operation based on our field studies with leading Australian fisheries. We also propose an ”AR + Cloud” system design to tackle the delayed in-situ water quality data collection and query, as well as aquaculture pond stress monitoring and analysis.
端到端增强现实解决方案,支持水产养殖户的数据收集,存储和分析
增强现实(AR)正在被物流、制造业和军事等行业迅速采用。然而,一个尚未开发但意义重大的领域是初级生产产业,作为食物和营养的主要来源,海产品生产一直是许多国家的优先事项。水产养殖是一个高度动态、不可预测和劳动密集型的过程。在本文中,我们根据对澳大利亚主要渔业的实地研究,讨论了水产养殖场经营面临的挑战。我们还提出了“AR + Cloud”系统设计,以解决现场水质数据采集和查询的延迟,以及水产养殖池塘应力监测和分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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