Open AccessPrediction of evapotranspiration using Fuzzy logic
Author(s) -
PRANITA N. BALVE,
Jayantilal N. Patel
Publication year - 2016
Publication title -
journal of agrometeorology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.295
H-Index - 11
eISSN - 2583-2980
pISSN - 0972-1665
DOI - 10.54386/jam.v18i2.958
Subject(s) - evapotranspiration , fuzzy inference system , fuzzy logic , penman–monteith equation , wind speed , adaptive neuro fuzzy inference system , relative humidity , mathematics , statistics , meteorology , computer science , fuzzy control system , artificial intelligence , geography , ecology , biology
In this paper, evapotranspiration prediction is done using Fuzzy Inference System (FIS) of Fuzzy Logic.For the prediction of evapotranspiration, mean temperature, relative humidity, wind speed and net radiation is taken as inputs to the fuzzy inference system. To check the efficiency of the FIS model, the results were compared with the FAO-56 Penman Monteith (FPM-56) method. FIS model has given the coefficient of determination (R2) 0.979. Results indicated that, FIS model has better efficiency for prediction of evapotranspiration.