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Mehta, C. R.
- Digital Map-Based Site-Specific Granular Fertilizer Application System
Abstract Views :337 |
PDF Views:92
Authors
Affiliations
1 ICAR-Central Institute of Agricultural Engineering, Bhopal 462 038, IN
2 Agricultural and Food Engineering Department, Indian Institute of Technology, Kharagpur 721 302, IN
3 ICAR-Central Potato Research Institute, Shimla 171 001, IN
1 ICAR-Central Institute of Agricultural Engineering, Bhopal 462 038, IN
2 Agricultural and Food Engineering Department, Indian Institute of Technology, Kharagpur 721 302, IN
3 ICAR-Central Potato Research Institute, Shimla 171 001, IN
Source
Current Science, Vol 111, No 7 (2016), Pagination: 1208-1213Abstract
Variable rate application is the process of applying different rates of crop inputs according to the variability within an agricultural field. Variable rate fertilizer application is a technology that regulates the fertilizer application rate based on site-specific needs within a field. A GPS-based variable rate fertilizer application (VRFA) system was developed, which consisted of a differential global positioning system (DGPS), micro-processor, micro-controller, DC motor actuator, power supply, threaded screw arrangement and fluted roller metering mechanism. The digital soil nutrient availability and application maps for targeted yield were also developed. DGPS was used for real-time identification of grids. Based on the microcontroller algorithm, application rates were varied by changing the feed roller exposure length. The observed fertilizer application rate was 5 and 300 kg/ha for exposure length of 0 and 44 mm respectively. The results indicate that the fertilizer application rate changes according to the prescribed application rate at the identified grid with coefficient of variation (CV) of 11.7-15%. The values of ischolar_main mean square error and relative difference of the system for different levels of application rates were 2.62 and 3.71 respectively. It can be concluded that the developed VRFA system closely meets the target fertilizer application rate at the selected grid point.Keywords
Differential Global Positioning System, Fertilizer Applicator, Interpolation, Micro-Controller, Soil Nutrient Map.Full Text
References
- Mouazen, A. M., Karoui, R., Decksers, J., De Baerdemaeker, J. and Ramon, H., Potential of visible and near-infrared spectroscopy to derive colour groups utilising the Munsell soil colour charts. Biosyst. Eng., 2007, 97(2), 131–143.
- Tola, E., Kataoka, T., Burce, M., Okamoto, H. and Hata, S., Granular fertilizer application rate control system with integrated output volume measurement. Biosyst. Eng., 2008, 101(4), 411–416.
- Ramamurthy, V., Naidu, L. G. K., Kumar, S. C. R., Srinivas, S. and Hegde, R., Soil-based fertilizer recommendations for precision farming. Curr. Sci., 2009, 97(5), 641–647.
- Reyes, J. F., Esquivel, W., Cifuentes, D. and Ortega, R., Field testing of an automatic control system for variable rate fertilizer application. Comput. Electron. Agric., 2015, 113, 260–265.
- Norton, E. R., Clark, L. J. and Borrego, H., Evaluation of variable rate fertilizer application in an Arizona cotton production system. Arizona Cotton Rep., 2005, 145–151.
- Kim, Y. J., Kim, H. J., Rye, K. H. and Rhee, J. Y., Fertilizer application performance of a variable-rate pneumatic granular applicator for rice production. Biosyst. Eng., 2008, 100, 498–510.
- Jung, I. G., Chung, S. O., Sung, J. H. and Lee, C. K., Development of map-based variable-rate applicator. In Proceedings of the KSAM Summer Conference, 2006, vol. 11(2), pp. 345–348.
- Forouzanmehr, E. and Loghavi, M., Design, development and field evaluation of a map-based variable rate granular fertilizer application control system. Agric. Eng. Int. J., 2012, 14(4), 255–261.
- Cho, S. I., Choi, S. H. and Kim, Y. Y., Development of electronic mapping system for N-fertilizer dosage using real-time soil organic matter sensor and DGPS. Biosyst. Eng., 2002, 27(3), 259–266.
- Schumann, A. W., Miller, W. M., Zaman, Q. U., Hostler, K. H., Buchanon, S. and Cugati, S., Variable rate granular fertilization of citrus groves: spreader performance with single-tree prescription zones. Appl. Eng. Agric., 2006, 22(1), 19–24.
- Chattha, H. S., Zaman, Q. U., Chang, Y. K., Read, S., Schumann, A. W., Brewster, G. R. and Farooqu, A. A., Variable rate spreader for real-time spot-application of granular fertilizer in wild blueberry. Comput. Electron. Agric., 2014, 100, 70–78.
- Fulton, J. P., Shearer, S. A., Higgins. S. F., Hancock, D. W. and Stombaugh, T. S., Distribution pattern variability of granular VRT applicator. Trans. ASABE, 2005, 48(6), 2053–2064.
- Sinfield, J. V., Fagerman, D. and Colic, O., Evaluation of sensing technologies for on-the-go detection of macro-nutrients in cultivated soils. Comput. Electron. Agric., 2010, 70, 1–18.
- Maleki, M. R., Holm, L. V., Ramon, H., Merckx, R., Baerdemaeker, J. D. and Mouazen, A. M., Phosphorus sensing for fresh soils using visible and near infrared spectroscopy. Biosyst. Eng., 2006, 95(3), 425–436.
- Swisher, D. W., Borgelt, S. C. and Sudduth, K. A., Optical sensor for granular fertilizer flow rate measurement. Trans. ASABE, 2002, 45(4), 881–888.
- Robinson, T. P. and Metternicht, G., Testing the performance of spatial interpolation techniques for mapping soil properties. Comput. Electron. Agric., 2006, 50, 97–108.
- Hearing Impairment of Indian Agricultural Tractor Drivers
Abstract Views :328 |
PDF Views:65
Authors
Affiliations
1 ICAR-Central Institute of Agricultural Engineering, Bhopal 462 038, IN
2 Peoples College of Medical Sciences and Research Centre, Bhopal 462 038, IN
1 ICAR-Central Institute of Agricultural Engineering, Bhopal 462 038, IN
2 Peoples College of Medical Sciences and Research Centre, Bhopal 462 038, IN
Source
Current Science, Vol 113, No 05 (2017), Pagination: 969-974Abstract
Noise is an occupational hazard affecting the health and safety of the tractor drivers. The hearing impairment of Indian tractor drivers has been assessed in the present study. Sixty healthy male subjects of similar age, height and weight were selected and divided into two groups of 30 subjects each, viz. tractor drivers with more than 10 years of driving experience and office workers as control. Audiometric testing of both the ears of the selected subjects was conducted at ten frequencies, i.e. 0.125, 0.25, 0.5, 1, 1.5, 2, 3, 4, 6 and 8 kHz. It was observed that the hearing threshold levels of office workers at measured test frequencies were less than 25 dB(A) and exceeded 25 dB(A) for tractor drivers to cause hearing handicap. Statistical analysis of the data indicated significant difference in the audiometric profile of tractor drivers compared to the office workers. The estimated average excess risk of hearing impairment of the subjects was calculated from audiometric data using five standard models; it was 0.2% and 7.1% for office workers and tractor drivers respectively. Thus it can be concluded that tractor driving significantly increased the hearing threshold levels of the drivers compared to office workers.Keywords
Audiometry, Hearing Impairment, Noise, Office Workers, Tractor Drivers.Full Text
References
- ASHA, On the definition of hearing handicap. American Speech Language Hearing Association Task Force, 1981, 23, 293–297.
- Prince, M. M., Stayner, L. T., Smith, R. J. and Gilbert, S. J., A re-examination of risk estimates from the NIOSH occupational noise and hearing survey (OHNS). J. Accoust. Soc. Am., 1997, 101, 950–963.
- Patwardhan, M. S., Kolate, M. M. and More, T. A., To assess effect of noise on hearing ability of bus drivers by audiometry. Indian J. Physiol. Pharmacol., 1991, 35(1), 35–38.
- Kumar, K. and Jain, V. K., A study of noise in various modes of transport in Delhi. Appl. Acoust., 1994, 43(1), 57–65.
- Mukherjee, A. K., Bhattacharya, S. K., Ahmed, S., Roy, S. K., Roychowdhury, A. and Sen, S., Exposure of drivers and conductors to noise, heat, dust and volatile organic compounds in the state transport special buses of Kolkata city. Transp. Res. Part D, 2003, 8(1), 11–19.
- Majumder, J., Mehta, C. R. and Sen, D., Excess risk estimates of hearing impairment of Indian professional drivers. Int. J. Ind. Ergonom, 2009, 39, 234–238.
- McBride, D. I., Firth, H. M. and Herbison, G. P., Noise exposure and hearing loss in agriculture: a survey of farmers and farm workers in the southland region of New Zealand. J. Occup. Environ. Med., 2003, 45(12), 1281–1288.
- Aybek, A., Kamer, H. A. and Arslan, S., Personal noise exposures of operators of agricultural tractors. Appl. Ergonom., 2010, 41, 274–281.
- Melemez, K. and Tunay, M., The investigation of the ergonomic aspects of the noise caused by agricultural tractors used in Turkish forestry. Afr. J. Agric. Res., 2010, 5(4), 243–249.
- Payandeh, M., Lar, M. B., Bagheri, J. and Pour, Z. K., Effect of forward speed, load and cabin on tractor noise and the health of drivers. J. Am. Sci., 2011, 7(8).
- Lar, M. B., Payandeh, M., Bagheri, J. and Pour, Z. K., Comparison of noise level of tractors with cab and without in different gears on driver ear and bystander. Afr. J. Agric. Res., 2012, 7(7), 1150–1155.
- Bilski, B., Exposure to audible and infrasonic noise by modern agricultural tractors operators. Appl. Ergonom., 2013, 44, 210–214.
- Mofrad, F. E., Lar, M. B. and Kohan, A., Reduce noise in the cab of the tractor MF399 sugar transport operation. Adv. Environ. Biol., 2014, 8(6), 3035–3038.
- Mofrad, F. E., Lar, M. B., Kohan, A., Dehghani, V. and Amoozadeh, R., Noise measurement and comparison of two kinds of tractor cab and non-cab drivers and their impact on hearing. Nationalpark-Forschung In Der Schweiz (Switzerland Research Park J.), 2014, 103(1), 224–232.
- Kumar, A., Mathur, N. N., Varghese, M., Mohan, D., Singh, J. K. and Mahajan, P., Effect of tractor driving on hearing loss in farmers in India. Am. J. Indus. Med., 2005, 47, 341–348.
- American Academy of Otolaryngology Committee on Hearing and Equilibrium and the American Council of Otolaryngology Committee on the Medical Aspects of Noise, Guide for the Evaluation of Hearing Impairment. Am. Med. Assoc. 1979, 241, 2055–2059.
- American Academy of Ophthalmology and Otolaryngology Committee on Conservation of Hearing (Subcommittee on Noise), Guide for the Evaluation of Hearing Impairment. Trans. Am. Acad. Ophthalmol. Otolaryngol., 1959, 63, 236–238.
- NIOSH, Criteria for a recommended standard: occupational exposure to noise. US Department of Health, Education, and Welfare, Public Health Service, Centres for Disease Control, National Institute of Occupational Safety and Health, Cincinnati, OH, DHSS (NIOSH) 1972, Publication no. 73-11001, 1972.
- NIOSH, Criteria for a recommended standard: occupational noise exposure, revised criteria, US Department of Health, Education, and Welfare, Public Health Service, Centres for Disease Control and Prevention, National Institute of Occupational Safety and Health, Cincinnati, OH, DHSS (NIOSH) 1998, Publication no. 98–126, 1998.
- British Society of Audiology, Occupational hearing loss, 2004; http://www.occupationalhearingloss.com
- Kavanagh, K. T., Evaluation of occupational hearing loss and presbycusis using a micro-computer. J. Am. Acad. Audiol., 1992, 3, 215–220.
- Kavanagh, K. T., Evaluation of hearing handicaps and presbycusis using world wide web based calculators. J. Am. Acad. Audiol., 2001, 12, 497–505.
- Women Empowerment through Agricultural Mechanization in India
Abstract Views :241 |
PDF Views:72
Authors
Affiliations
1 ICAR-Central Institute of Agricultural Engineering, Bhopal 462 038, IN
1 ICAR-Central Institute of Agricultural Engineering, Bhopal 462 038, IN
Source
Current Science, Vol 114, No 09 (2018), Pagination: 1934-1940Abstract
Based on the 2011 census, 37% of the total number of agricultural workers in the country are women and by 2020, this figure is expected to be about 45%. The increased participation of women in agriculture will demand more emphasis on the development of gender-friendly tools, equipment as well as work places. Women have different ergonomical characteristics. It is necessary to give due consideration to their ergonomical characteristics while designing various farm tools and equipment. An effort has been made in this study to analyse various issues related to women and suggest ways to empower women workers through use of modern farm tools and machines. This study also highlights the need to organize demonstrations and trainings for farm women on proper operation of various modern tools/equipment. It is also necessary to find a way to ensure supply of these improved tools and equipment at the village level.Keywords
Agricultural Mechanization, Empowerment, Farm Equipment, Hand Tools, Women Workers.Full Text
References
- Anon., Census of India 2001, Office of Registrar General and Census Commissioner, Govt of India, New Delhi, 2004.
- Anon., Census of India 2011, Office of Registrar General and Census Commissioner, Govt of India, New Delhi, 2013.
- Mehta, C. R., Chandel, N. S. and Senthilkumar, T., Status, challenges and strategies for farm mechanization in India. Agricultural Mechanisation in Asia, Africa and Latin America (AMA), 2014, 45(4), 43–50.
- Gite, L. P., Majumder, J., Mehta C. R. and Khadatkar, A., Anthropometric and strength data of Indian agricultural workers for farm equipment design. Book No. CIAE/2009/4, ICAR-Central Institute of Agricultural Engineering, Bhopal, 2009.
- Singh, S. P., Gite, L. P., Majumder, J. and Agarwal, N., Aerobic capacity of Indian farm women using sub-maximal exercise technique on tread mill. Agric. Eng. Int.: CIGR J., 2008, Manuscript MES 08 001, vol. X.
- Maiti, R. and Ray, G. G., Manual lifting load limit equation for adult Indian women workers based on physiological criteria. Ergonomics, 2004, 47(1), 59–74.
- Gite, L. P., Final Report of the Emeritus Scientist Project on Development of ergonomical design guidelines for agricultural tools, equipment and work places, ICAR-Central Institute of Agricultural Engineering, Bhopal, 2017.
- Gite, L. P., Women in Indian agriculture. In Ergonomics in Developing Regions: Needs and Applications (ed. Scott, P. A.), CRC Press, 2009, pp. 291–306.
- A Data-Driven Approach to Predict Anthropometric Dimensions of Central Indian Women Workers via Principal Component and Factorial Analysis
Abstract Views :80 |
PDF Views:55
Authors
Affiliations
1 Mechanical Processing Division, ICAR-National Institute of Natural Fibre Engineering and Technology, Kolkata 700 040, India., IN
2 All India Coordinated Research Project-ESA Scheme, ICAR-Central Institute of Agriculture Engineering, Bhopal 462 038, India., IN
3 ICAR-Central Institute of Agriculture Engineering, Bhopal 462 038, India., IN
4 Dr Balasaheb Sawant Konkan Krishi Vidyapeeth, Dapoli 415 712, India., IN
1 Mechanical Processing Division, ICAR-National Institute of Natural Fibre Engineering and Technology, Kolkata 700 040, India., IN
2 All India Coordinated Research Project-ESA Scheme, ICAR-Central Institute of Agriculture Engineering, Bhopal 462 038, India., IN
3 ICAR-Central Institute of Agriculture Engineering, Bhopal 462 038, India., IN
4 Dr Balasaheb Sawant Konkan Krishi Vidyapeeth, Dapoli 415 712, India., IN
Source
Current Science, Vol 124, No 2 (2023), Pagination: 215-225Abstract
In India, the contribution of women workers in agriculture is steadily increasing daily, which governs a major share of the Indian agriculture sector. Hence farm tools and equipment must be designed by considering region-specific anthropometric data of women workers. However, measuring and recording anthropometric dimensions is time-consuming and economically taxable. In the present study, regression models have been developed to predict different anthropometric dimensions using anthropometric data of 79 body dimensions of 720 women workers in central India aged between 25 and 55 years. Principal component and factorial analysis techniques were employed to extract significant body dimensions. The major objective of this study was to predict various anthropometric dimensions by regression models so that the time and effort required for several body dimension measurements would be reduced.Keywords
Agriculture, Correlation, Factor Analysis, Prin-Cipal Component Analysis, Women Workers.Full Text
References
- Mehta, C. R., Chandel, N. S. and Senthilkumar, T., Status, chal-lenges and strategies for farm mechanization in India. Agric. Mech. Asia, Afr. Latin Am., 2014, 45(4), 43–50.
- Feyzi, M., Navid, H. and Dianat, I., Ergonomically based design of tractor control tools. Int. J. Ind. Ergon., 2019, 72, 298–307.
- Singh, S. and Arora, R., Ergonomic intervention for preventing mus-culoskeletal disorders among farm women. J. Agric. Sci., 2010, 1(2), 61–71.
- Dewangan, K. N., Owary, C. and Datta, R. K., Anthropometric data of female farm workers from north eastern India and design of hand tools of the hilly region. Int. J. Ind. Ergon., 2008, 38(1), 90–100.
- Ali, İ. and Arslan, N., Estimated anthropometric measurements of Turkish adults and effects of age and geographical regions. Int. J. Ind. Ergon., 2009, 39(5), 860–865.
- Ramachandran, M. and Komandur, S., Survey of anthropometric data collection methods of Indian population for design of propor-tional medical devices. In Symposium on Human Factors and Ergo-nomics in Health Care, 2012, pp. 208–211.
- Chao, Y. P., Kao, T. W., Chang, Y. W., Peng, T. C., Chen, W. L. and Wu, L. W., Utilization of anthropometric parameters as a novel tool for detection of insulin resistance. Clin. Nutr., 2020, 39(8), 2571–2579.
- Tewari, V. K., Ailavadi, R., Dewangan, K. N. and Sharangi, S., Ratio-nalized database of Indian agricultural workers for equipment de-sign. Agric. Eng. Int.: the CIGRE J., 2007, 9(1), 1–12.
- Bhattacharjya, B. R. and Kakoty, S. K., Presenting an iterative in-novation framework perceived for resource-constrained society. IEEE International Symposium on Innovation and Entrepreneurship (TEMS-ISIE), Hangzhou, China, 2019, pp. 1–7.
- Bhattacharjya, B. R. and Kakoty, S. K., A survey of the anthropometric data relating to five ethnic groups in Assam considering gender and ethnic diversity: application of the data in designing an improvised pedal-operated chaak. Int. J. Ind. Ergon., 2020, 76, 102927.
- Dewangan, K. N., Kumar, G. P., Suja, P. L. and Choudhury, M. D., Anthropometric dimensions of farm youth of the north eastern re-gion of India. Int. J. Ind. Ergon., 2005, 35(11), 979–989.
- Dewangan, K. N., Gogoi, G., Owary, C. and Gorate, D. U., Isomet-ric muscle strength of male agricultural workers of India and the design of tractor controls. Int. J. Ind. Ergon., 2010, 40(5), 484–491.
- Vyavahare, R. T. and Kallurkar, S. P., Anthropometry of male agri-cultural workers of western India for the design of tools and equipments. Int. J. Ind. Ergon., 2016, 53, 80–85.
- Khadem, M. M. and Islam, M. A., Development of anthropometric data for Bangladeshi male population. Int. J. Ind. Ergon., 2014, 44(3), 407–412.
- Lu, J. M. and Wang, M. J. J., Automated anthropometric data collection using 3D whole body scanners. Expert Syst. Appl., 2008, 35(1–2), 407–414.
- Liu, K., Wang, J., Kamalha, E., Li, V. and Zeng, X., Construction of a prediction model for body dimensions used in garment pattern making based on anthropometric data learning. J. Text. Inst., 2017, 108(12), 2107–2114.
- Zhou, X., Chen, J., Chen, G., Zhao, Z. and Zhao, Y., Anthropometric body modeling based on orthogonal-view images. Int. J. Ind. Ergon., 2016, 53, 27–36.
- Majumder, J., Mehta, C. R. and Khadatkar, A., Anthropometric and Strength Data of Indian Agricultural Workers for Farm Equipment Design (ed. Gite, L. P.), Central Institute of Agricultural Engineer-ing, Bhopal, 2009.
- Webb Associates, Anthropology Research Project (Webb Associates), Space Administration. Scientific and Technical Information Office. Anthropometric Source Book: Anthropometry for Designers (Vol. 1), National Aeronautics and Space Administration, Scientific and Technical Information Office, USA, 1978.
- Hertzberg, H. T. E., The conference on standardization of anthro-pometric techniques and terminology. Am. J. Phys. Anthropol., 1968, 28(1), 1–16.
- Kaiser, H. F., The varimax criterion for analytic rotation in factor analysis. Psychometrika, 1958, 23(3), 187–200.
- Kroemer, K. H., Kroemer, H. J. and Kroemer-Elbert, K. E., Engi-neering Physiology, Springer, Heidelberg, Germany, 2010.
- Patel, T., Sanjog, J., Chatterjee, A. and Karmakar, S., Statistical inter-pretation of collected anthropometric data of agricultural workers from northeast India and comparison with national and international databases. IIE Trans. Occup. Ergon. Hum. Factors, 2016, 4(4), 197–210.