Parametric Estimation and Optimization of Automatic Drip Irrigation Control System using Fuzzy Logic

Food security is a serious problem for every developed or underdeveloped country and water is a key component of it. This is the modern era of technology but unfortunately, even today we are still using traditional methods for irrigation. Agriculture uses almost 80% to 85% of drinkable water for cultivation purposes. The ratio of water consumption will continue to rise as the world population is increasing. To meet up those demands and efficiently use the resources drip irrigation has been proposed in this research work, which irrigates directly to the roots of plants and safe water from getting wasted in the watercourse. To control irrigation, a fuzzy logic-based system has been developed. The proposed system monitors agricultural parameters like temperature, level of nutrients, and soil moisture to control irrigation. The system continuously monitors the agricultural parameters and controls the water pump accordingly. The simulation has been done using MATLAB which is based on fuzzy rules. The usage of such an automatic system can not only save water but also reduces workforce, power consumption, etc. It also increases productivity as it can provide the exact amount of water and nutrient directly to the plants.