Transforming Fish Farming With Lpwan-Enabled Iot: Enhancing Efficiency, Security, And Sustainability

Abstract

As aquaculture continues to struggle with issues of efficiency, security, and sustainability, it is imperative that novel solutions be developed. This article investigates the ways in which Internet of Things (IoT) technologies which are enabled by Low-Power Wide-Area Networks (LPWAN) have the potential to transform fish farming operations. A study framework that we propose is for the development and evaluation of an Internet of Things (IoT) system that is based on low-power wide-area networks (LPWANs) and makes use of sensor networks to gather real-time data on water quality, fish health, and feeding behaviour. This information will be analysed by machine learning algorithms in order to maximize efficiency, improve biosecurity, and reduce the negative influence on the environment. System design, deployment, data collecting and analysis, model building, and assessment are all outlined in the approach, with the primary emphasis being on overcoming difficulties such as data security, network connection, and long-term sustainability. Additionally, ethical concerns about the protection of data, the welfare of fish, and open and honest communication are spoken about. Assessing the system's efficiency, scalability, and influence on the environment will be accomplished via the implementation of a multi-stage assessment strategy that will include both a pilot study and field trials. The findings of this study show tremendous potential for changing fish farming into a technique that is more efficient, secure, and sustainable, so contributing to a more responsible global food system. Internet of Things (IoT) solutions based on low-power wide area networks are helping aquaculture become data-driven, sustainable, and efficient.  Aquaculture's future depends on low-power wide-area networks (LPWAN), which provide food security and reduce environmental impact. Because technology is maturing and costs are falling.