Measurement Measurements and PredictionPrediction of Mental StressMental stresses Through InnovativeInnovative EquipmentEquipment in Agriculture

Agriculture predominantly relies on the farm workers completing all homestead-related exercises in reality and primarily depending on agribusiness. However, the activities involved in the agriculture to experience different kind of injuries in addition to the mental stress causing risks that need to be addressed. Moreover, the uses of “artificial-intelligence based algorithms” in the recent times have been increasing in various forecasting-related applications, which are found to be suitable for ‘non-linear forecasting as well as in dealing with different uncertainties involvement. However, the present-day measurement-technology has the potential to capture the related-activities that exceed the “endurance-limits of work-severity” by assessing the heart-rate’s reliability, the employment related key risk-area, and in the quantification of the stress-situation’s occurrence. Therefore, an attempt has been taken in this study by developing a fuzzy-model in the fuzzy-environment for the mental stress as output and both “Blood-Pressure Levels (BPL) and Body-Temperature (BT)” as two inputs. Moreover, in view of the wider applications as well as forecasting accuracy of “adaptive-network-based fuzzy inference-system (ANFIS)”, this work focused on identifying the mental stresses among 200 farm workers owing to their measured associated parameters (BPL and BT) while performing the agricultural activities, and subsequent prediction of mental stresses with regard to the parameters by applying ANFIS with possible opportunity in developing an integrated device to measure the same.