Neuro-Fuzzy modeling of energy use in greenhouse strawberry production

The aim of this study was to determine energy consumption and the relationship between energy input and output in greenhouse strawberry production using adaptive neuro-fuzzy inference system (ANFIS). Data used in this study were obtained from 30 randomly selected greenhouse strawberry producers using a face to face interview. The average energy consumption and yield were calculated as 922565.89 MJ ha-1 and 75062.50 kg ha-1, respectively. The results revealed that diesel fuel with 80% of total energy use were the main energy consuming inputs. Also, the energy forms results indicated non-renewable and direct energies was more than renewable and indirect energies, respectively. ANFIS model is developed based on a hybrid learning algorithm, with R2 for predicting output energy being 0.993. Results indicate that the multi-level ANFIS is a useful tool to managers for large-scale planning in forecasting energy output of agricultural production systems.

Neuro-Fuzzy modeling of energy use in greenhouse strawberry production Keywords:

Energy , Modeling , Strawberry , ANFIS