Prediction of the Annual Yield of Citrus Growth in the Guzelyurt District Using Fuzzy Inference Systems

Al-Shanableh F.

4th International Conference on Intelligent and Fuzzy Systems (INFUS), Bornova, Turkey, 19 - 21 July 2022, vol.504, pp.168-176 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 504
  • Doi Number: 10.1007/978-3-031-09173-5_22
  • City: Bornova
  • Country: Turkey
  • Page Numbers: pp.168-176
  • Keywords: Fuzzy inference systems, Yield prediction, Citrus fruits, SOIL
  • Yıldız Technical University Affiliated: No


In this study, the annual revenue estimation that can be obtained from citrus fruits grown in the Guzelyurt region is modeled based on weather conditions using the Multiple Input and Single Output Fuzzy Interference System (MIS - OFIS). The average temperature, average rainfall, and average relative humidity in the Guzelyurt district were chosen as input parameters and citrus fruits yield was selected as the output parameter. The data obtained that belonged 1980-2019 period were used to construct a MISOFIS model. Within 40 input/output data sets, the last five years were utilized for testing. The citrus yield estimated by the proposed MISOFIS model and its compliance with the actual values can be understood from the fact that R-2 is equal to 0.913. The results showed that modeling with MISOFIS is an easy and effective method for predicting citrus fruit yield if the input parameters and rules generated were chosen appropriately.