Open AccessIrrigation forecasting by using fuzzy logic on sensor data
Author(s) -
Alifia Puspaningrum,
Eka Ismantohadi,
A Sumarudin
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1098/4/042004
Subject(s) - irrigation , fuzzy logic , agricultural engineering , agriculture , resource (disambiguation) , environmental science , computer science , engineering , artificial intelligence , geography , agronomy , biology , computer network , archaeology
Water irrigation is one of the most critical resource in developing agriculture. Furthermore, increasing of domestic demand has been divert water supply in agriculture. However, the efficiency of irrigation is very low. Besides that, 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. So that, this paper proposes irrigation forecasting by using Fuzzy Logic. The irrigation is forecast by using several sensor data such as soil, air temperature, and humidity to calculate opening of valve. Experimental result shows that the proposed method can give the prediction of valve opening for irrigation.