Fuzzy Inference and Multiple Linear Regression Models for Prediction of Benefit–Cost Ratio: Banana Cultivars

Prediction of both cost incurred and benefit gained in terms of benefit–cost ratio (BCR) for agricultural productions is significant to accurately meet market requirements and proper administration of agricultural activities directed towards enhancement of benefits. Several parameters such as weather, pest control, biological and physio-morphological merit their consideration while determining the benefit. However, these parameters are uncertain in nature making the computed amount of benefit to be approximate. Fuzzy logic concept comes into play exactly here. This paper elaborates on fuzzy inference system (FIS) model and multiple linear regression (MLR) model developed for the sake of prediction of BCR for banana fruit. Two inputs namely direct nutrients and fruit weight are considered for seven categories of banana ucultivars. FIS and MLR analysis model showed concurrence with respect to prediction accuracy, marginal residual errors and root mean square error values.