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Framing is a hazardous, stressful occupation that can directly affect farmers' health. In accumulation, a farmer makes a large economic commitment exposing them to high levels of economic risk. Stressors among farmers may help health professionals improve health outcomes by developing targeted intervention strategies and services. Throughout the last 70 years, the agricultural sectors have changed, and it is found to be one of the latent areas for stress. On large uses of mechanization technology, more uses of organic production, there is a decrease in price of agricultural product, and new complex legislation has made the life of farmers more stressful. In this study, based on in-depth review of literature and analysis of works based on the mental work pressure and stresses over framers, the risk associated with the Indian agricultural sectors were recognized by the use of fuzzy TOPSIS method. All the identified risk-factors were ranked based on their preferences. Then, the QFD technique was used to suggest the design parameters so as to minimize the work stress on farmers.

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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

Farmers are dependent upon various exceptional work-related stressors, a significant number of which have been exasperated as of late by changes in cultivating practice and by other factors. The present was based on in-depth review of literature and analysis of works based on the mental workloads and stresses of framers. The risks associated with the Indian agricultural sectors were identified. And then SWARA method was used for calculating the weights and corresponding ranking of the criterion/parameter along with sub-criteria/sub-parameters were done accordingly. Then, the QFD technique was used to suggest the design parameters so as to minimize the work stress on farmers.