Development of the IoT and computational analysis integration within aquaponics systems for indoor vertical farming environments

Ahmad, Muhamad Alif ‘Aizat (2024) Development of the IoT and computational analysis integration within aquaponics systems for indoor vertical farming environments. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

This paper is going to outline a framework for integrating the Internet of Things and computational analysis into aquaponics systems as used in indoor vertical farming environments. This would highlight the promising prospect that such technological convergence holds for transcending a number of persistent challenges inherent to the conventional systems of aquaponics that typically require constant human supervision and alteration of operations. The proposed solution therefore employs automation solutions and remote control for radical efficiency, reduction of human intervention, and optimum resource utilization. The novel approach basically looks forward to creating an environment friendly system of aquaponics that does not only focus on producing the crop yield but also plays its part in water conservation and sustainable agriculture. Fundamentally, it is a question of efficiently integrating the IoT sensors distributed across the entire system to receive dynamic feedback in real time on various critical parameters like the quality of water, level of nutrients, temperature, humidity, and intensity of light. Streams of data are then subjected to advanced computational techniques, machine learning, and predictive modelling to gain insights that will help render decisions on optimum nutrient dosing, environmental control, or general crop management. It is a data-driven, precision approach, and the combination of aquaponics with indoor vertical farming is the transformation in modern agriculture, which has immense potential while providing tremendous opportunities to enhance resource allocation, yields, and sustainable food production. So, this document really digs into the nitty-gritty of practical stuff and challenges when it comes to calibrating sensors, protecting data privacy, and making the system scalable. It basically shows why we need solid technological solutions and collaboration across different fields to tap into the amazing potential of integrating IoT and computational analysis into aquaponics.

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