Open AccessImplementation of Fuzzy Logic in Estimating Yield of a Vegetable Crop
Author(s) -
S. Mamatha Upadhya,
Soya Mathew
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1427/1/012013
Subject(s) - yield (engineering) , fuzzy logic , humidity , mathematics , agricultural engineering , moisture , crop yield , environmental science , soil science , computer science , agronomy , meteorology , geography , engineering , artificial intelligence , materials science , metallurgy , biology
Predicting the influence of climate variations on crop yield demands an appropriate model. In this study, Fuzzy logic based crop yield estimation is undertaken considering temperature, humidity and moisture of soil as input parameters. By subjecting these parameters to fuzzy arithmetic, crisp value of yield is obtained. Trapezoidal membership function is considered in the fuzzy modeling. The results are validated using available open source literature. It has been verified theoretically that air humidity 65%-75%, air temperature 18-290 C and soil moisture 60-80% would give high yield.