Irrigation Forecasting by using Fuzzy Logic on Sensor Data
Alifia Puspaningrum; Eka Ismantohadi; A. Sumarudin; Sofyan Maulana

Politeknik Negeri Indramayu

Abstract

Water irrigation is one of the most critical resource in developing agriculture. Furthermore, increasing of domestic demand has been devert water supply in agriculture. However, the efficiency of irrigation is very low. This paper proposes irrigation forecasting by using Fuzzy Logic. The irrigation is forcast by using several sensor data. Soft computing tools like Fuzzy Logic has been used widely in many areas. Fuzzy logic has a good performance to solve the problem precisely. In particular, this method has been found useful in the area of agriculture. By considering the condition of soil, air temperature, and humidity, the opening of valve is forecast by using Fuzzy Logic. Experimental result shows that the proposed method can give the prediction of valve opening for irrigation.

Keywords: Agriculture, Artificial Neural Network, Irrigation, Forecasting, Sensor Data

Topic: Computer Science