Harvesting Intelligence: A Comprehensive Study on Transforming Aquaponic Agriculture with AI and IoT

Abstract

Aquaponics, an agricultural technique that merges aquaculture and hydroponics, is on the brink of a transformative advancement with the amalgamation of Machine Learning (ML), Deep Learning (DL), and the Internet of Things (IoT). The incorporation of these cutting edge technologies in the field of aquaponics is bringing about a profound transformation in the realm of sustainable agriculture. This extensive investigation delves into the profound influence of these cutting-edge technologies on aquaponics, with a focus on predictive analysis, system optimization, environmental monitoring, and disease prevention. By means of ML and DL algorithms, historical and real-time data are scrutinized in order to forecast environmental fluctuations, optimize resource allocation, and facilitate the growth of crops and fish. IoT devices consistently gather data pertaining to crucial parameters, thereby enabling real-time monitoring and control of the aquaponic system. Furthermore, IoT technology enhances resource utilization and grants the ability to remotely monitor and manage the system. The detection of abnormalities in fish behavior and plant health through the utilization of ML and DL algorithms allows for the implementation of proactive measures aimed at preventing outbreaks and minimizing losses. Furthermore, these advanced technologies also offer personalized recommendations for effective management of various crop and fish species. The incorporation of ML, DL, and IoT into the field of aquaponics signifies a substantial advancement towards a more sustainable, efficient, and productive form of agriculture. These innovative technologies possess the capability to effectively address the challenges associated with global food security by optimizing the utilization of resources, maintaining environmental equilibrium, and mitigating the occurrence of disease outbreaks. In the context of the examined research endeavors presented in this article, it is anticipated that the utilization of smart control units in conjunction with the aquaponics system will yield greater profitability, increased intelligence, enhanced precision, and heightened efficacy. In the context of the examined research endeavors presented in this article, it is anticipated that the utilization of ML, DL and IoT in conjunction with the aquaponics system will yield greater profitability, increased intelligence, enhanced precision, and heightened efficacy.