FUZZY EXPERT SYSTEM FOR GREENHOUSE ROSE YIELD PREDICTIONShalini Ahlawat, Vijay Nehra, Murtaza Hasan, M.C. Singh and Kiran Nehra
In this investigation, the application of fuzzy logic in the field of floriculture, for greenhouse rose crop yield prediction was presented. Fuzzy expert system was employed to predict greenhouse rose yield on the basis of different combinations of seven inputs. Parameters used in rose cultivation includes temperature, solar radiation, humidity, concentration of nitrogen, phosphorus and potassium, and leaf area which were all selected as input parameters of the model and correspondingly rose yield was considered as output variable. Coefficient of determination (R2), root mean square error (RMSE), mean absolute error (MAE) and mean absolute percentage error (MAPE) were calculated for Fuzzy model.
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