An Urban Based Smart IoT Farming System

Abstract

One of the most promising, recent and emerging techniques of farming is Precision Agriculture (PA) which aims at the allocation of resources to the plants on a need basis. However, despite the research efforts put in the development of PA, common grounds still need to be defined in terms of sustainable decision making for resource allocation. Hence, this research paper presents a scalable Decision Support System (DSS) based on Fuzzy Logic controller for efficient and sustainable application of resources such as water, fertilizer and sunlight deemed necessary for plant growth and development. A combination of plant age, soil sensors, environment sensors and a Cartesian robotic system have been utilllised to collect plant soil and environment data which is fed to a Fuzzy Inference Systems (FIS) consisting of a 149 rules for sustainable allocation of plant resources i.e. water, fertilizer and sunlight. Sustainable resource allocation s achieved from the PA system developed whereby 524 ml and 2031 ml of fertilizer and water savings are achieved.