Farmer Workplace Discomfort Levels Leading to Adverse Mental Health

Abstract

Musculoskeletal discomforts and disorders cause serious health related problems that affect the mental well-being of farmers reducing their work efficiency. The objective of this study was to evaluate the discomfort levels of farmers in Indian agriculture leading to mental stresses, and for this, the discomfort questionnaire has been applied after carrying out a detailed literature review. With the help of discomfort questionnaire and “Depression, Anxiety and Stress Scale (DASS-21)”, the farmers discomfort levels and their mental stress levels were evaluated. Further by the application of ANFIS, an effort has been made to predict the mental stress of farmers during their work activities in hot-climatic conditions based on the associated parameters like “kcal burnt, Pulse rate, High BP, Low BP, and Temperature”, respectively

ETMT: A Tool for Eye-Tracking-Based Trail-Making Test to Detect Cognitive Impairment

“…The ANFIS is a hybrid model that combines an adaptive artificial neural network (ANN) and the FIS [ 81 , 82 ]. Since it combines both an adaptive ANN and the FIS, it has the benefits of both.…”