Penerapan IoT dalam Sistem Monitoring Kelembaban Tanah, Suhu, dan Penyiraman Otomatis pada Tanaman Cabai Menggunakan Fuzzy Logic

Abstract

Increasing crop yields is essential in the agricultural sector to fulfill the intensifying population's fast rising food demand. Automation is the only way to improve industrial production. Manual methods must give way to automation immediately. One of the many crops that we cannot overlook when talking about agriculture is the chile. A staple of everyday cooking, chili is a highly valuable vegetable. The inefficiency of air temperature, irrigation, and soil moisture levels monitoring and regulation is one of the primary problems in the production of chilies. The solution can be found through the use of IoT, which enables real-time data collection and the use of fuzzy logic methods for more adaptive and automatic decision-making in managing the plant environment. Technologies like IoT are used to bring a new revolution in agricultural methods. This system uses a fuzzy logic algorithm approach to calculate plant conditions and the amount of water to be irrigated. Fuzzy logic is a reasoning method based on approaches and assumptions that resemble human reasoning models. Currently, this algorithm is widely used in fields such as robotics, automated production lines, financial simulations, and others. For the design stage, the Sugeno method is used in fuzzy logic. Sugeno is also known as the Fuzzy Inference System (FIS). It is one method of drawing conclusions in a system that uses fuzzy logic. "IF-THEN" is the representation of the rule base in this fuzzy system. Applications where the output results must be integrated with other mathematical or analytical models are appropriate for this approach. Based on information gathered from sensors on soil moisture content and ambient temperature, the system controls how much water is given to the plants. The output obtained from the devices has shown good performance, especially in collecting, displaying, and analyzing data.