Agricultural Engineering Today
Open Access
  • Year: 2018
  • Volume: 42
  • Issue: 1

Anthropometry and Segmental Proportions of Female Agricultural Workers of Bhopal District of Madhya Pradesh

  • Author:
  • R.R. Potdar1,, C.R. Mehta2, B.B. Gaikwad3, L.P. Gite4, B.S. Narwariya5
  • Total Page Count: 12
  • Page Number: 26 to 37

1PhD Scholar (FPE), Central Institute of Agricultural Engineering, Bhopal-462038

2Project Coordinator (FIM), Central Institute of Agricultural Engineering, Bhopal-462038

3Scientist (SASM), ICAR-NIASM, Baramati (Maharashtra)

4Ex-Project Coordinator (ESA), Central Institute of Agricultural Engineering, Bhopal-462038

5Research Associate, ICAR-CIAE, Central Institute of Agricultural Engineering, Bhopal-462038

*Corresponding author's email: rrpotdar@gmail.com

Online published on 2 January, 2019.

Abstract

Most of the female agricultural workers in India perform agricultural operations manually with hand tools and equipment. Therefore, application of anthropometric data in designing of farm equipment and workplaces are vital for designers in order to reduce drudgery, to enhance safety, to improve performance, productivity and efficiency. For this purpose, region specific anthropometric data of target population is needed. A study was conducted to collect the anthropometric data of selected 30 female agricultural workers in the age group of 2254 years from Madhya Pradesh state. Thirty eight body dimensions including weight were identified for design of agricultural tools, equipment and work places and were measured. The values of mean, standard deviation (SD), minimum, maximum, coefficient of variation (CV) and 1st, 5th, 50th, 95th and 99th percentile values were calculated of selected body dimensions. The mean weight and stature of female agricultural workers were found to be 53 kg and 1536 mm, respectively. A large variation was observed in the anthropometric data of female farm workers of different states of India and other countries. Pearson correlation coefficients (PCC) were calculated among selected anthropometric dimensions of subjects. The correlation coefficients of measured data varied from 0.65–0.98.

Keywords

Anthropometry, Female agricultural worker, Body measurements