Soil irrigation fuzzy estimation approach based on decision making in sugarcane industry

• Published in: 2017 11th International Conference on Information & Communication Technology and System (ICTS) pp. 137 - 142
• Main Authors: Alfin, Achmad Arif, Sarno, Riyanarto
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.10.2017
• Subjects: component; defuzzification; Fuzzy Logic; Irrigation; Sensor systems; Soil irrigation; Soil moisture; Temperature measurement; Temperature sensors
• ISBN: 9781538628256; 1538628252
• ISSN: 2996-1378
• DOI: 10.1109/ICTS.2017.8265659

A soil irrigation with Fuzzy Estimation Approach based on Decision Making in Sugarcane Industry is a system to control and evaluate soil moisture content. The main purpose is to maintain soil moisture content which is very influential for optimizing soil fertility levels, especially in the field of sugar cane farming. This method is using an automatic irrigation system, and it can control soil water uses to be more effective and economical in the irrigation process. First stage of this system, The fuzzification process is performed on three types of data used as input parameters, which are then used as the criteria for assessment, then selected the most relevant criteria of each assesment alternatives. The process is done until it gets the best judgment from each alternatives. The next stage, Membership function is made to estimate the next process and defuzzification process. This model provides an estimate of quantitative water requirements, then it provide the precise water demand required on sugarcane farms, and maintain soil moisture conditions to remain constant according to the needs of sugarcane.