Decision Support System Based on IoT and Mamdani Fuzzy Logic for Nutrient Management in Hydroponic Plants on Urban Rooftop Farming

Abstract

Urban agriculture has emerged as a viable solution to address the challenge of limited land availability in urban areas. Hydroponic systems, as a soil-less cultivation method, are gaining popularity due to their efficiency. However, nutrient management in hydroponic farming remains a significant challenge. This study proposes the development of a Decision Support System (DSS) based on the Internet of Things (IoT) and Mamdani fuzzy logic to provide automated nutrient recommendations based on environmental parameters. This approach aims to enhance the efficiency, accuracy, and automation of small-scale hydroponic farming management in urban settings.