Unveiling the Internet of Things (IoT) Applications in Aquaculture: A Survey and Prototype Design with ThingSpeak Analytics

C. Mahamuni, Chalamala Srinivas Goud
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Abstract

The study examines the potential impact of IoT in aquaculture, and its role in enhancing water quality monitoring as well as the disease prevention. It highlights the transformative power of IoT technology in providing real-time data on water parameters and enabling proactive measures against diseases. The study emphasizes the significance of adopting IoT solutions to optimize water conditions, mitigate disease risks, and enhance fish health. It also explores recent advancements, key challenges, and future directions in IoT applications for aquaculture, including water quality monitoring, feed automation systems, environmental control systems, fish tracking and monitoring systems, remote monitoring and control systems, smart harvesting systems, and disease detection and prevention systems. Based on a comprehensive literature survey, this paper introduces a research proposal focusing on water quality monitoring and disease prevention in fish. The progress thus far encompasses the selection of hardware components, sensor testing, and ongoing activities in programming and debugging.
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揭示物联网(IoT)在水产养殖中的应用:使用ThingSpeak Analytics进行调查和原型设计
该研究探讨了物联网在水产养殖中的潜在影响,及其在加强水质监测和疾病预防方面的作用。它突出了物联网技术在提供水参数实时数据和采取主动措施预防疾病方面的变革力量。该研究强调了采用物联网解决方案优化水条件、减轻疾病风险和增强鱼类健康的重要性。它还探讨了水产养殖物联网应用的最新进展、主要挑战和未来方向,包括水质监测、饲料自动化系统、环境控制系统、鱼类跟踪和监测系统、远程监测和控制系统、智能收获系统以及疾病检测和预防系统。本文在全面查阅文献的基础上,提出了以鱼类水质监测与疾病防治为重点的研究方案。迄今为止的进展包括硬件组件的选择、传感器测试以及正在进行的编程和调试活动。
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