Design of Automatic Artificial Light Conditioning Control System for Indoor Aquaponics Using Multi-Point Sensor Technique
Keywords:
Automation technology, Food security, Lighting efficiency, Multi-Point sensing, Urban aquaponicsAbstract
Food security at the global, national, and household levels has become a shared focus of the global community, as outlined in one of the key points of the 2030 Agenda for Sustainable Development (SDGs), specifically Goal 2: “Zero Hunger.” The urban environment, characterized by limited direct access to food sources, renders urban populations vulnerable to hunger due to the unavailability of food resources, which can result from various disruptions in the supply chain, such as natural disasters, food shortages, supply chain interruptions, and a lack of self-reliance in food production (food resilience). One critical factor contributing to the lack of food resilience in urban settings is the absence of agricultural land as a food source. The use of aquaponics as a food security solution in urban areas has long been recognized as a proactive measure. However, the efficiency of food production from conventional aquaponics systems remains suboptimal. This study proposes a concept and preliminary testing of an innovation to engineer environmental conditions, specifically the lighting parameters, within aquaponics systems by incorporating and applying automation technology. This approach aims to enhance agricultural productivity in aquaponics systems while prioritizing energy efficiency. The application of a multi-point sensing technique using eight LDR sensors positioned at various test points within the aquaponics system has been demonstrated to improve energy efficiency. This is achieved by implementing a selective algorithm to determine the optimal times for activating grow lights.
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