Refine your search
Collections
Co-Authors
Journals
Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Khura, Tapan Kumar
- Development of Web-Based Combine Harvester Custom-Hiring Model for Rice–Wheat Cropping System
Abstract Views :181 |
PDF Views:84
Authors
Affiliations
1 ICAR-Indian Agricultural Research Institute, New Delhi - 110 012, IN
2 ICAR-Indian Agricultural Research Institute, New Delhi - 110 012
1 ICAR-Indian Agricultural Research Institute, New Delhi - 110 012, IN
2 ICAR-Indian Agricultural Research Institute, New Delhi - 110 012
Source
Current Science, Vol 116, No 1 (2019), Pagination: 108-111Abstract
A web-based custom hiring model was developed to help farmers and custom-hiring service providers take decisions regarding owning/custom hiring of combine harvester for rice-wheat cropping system. It also gives the break-even acreage for owning a combine harvester along with various cost economics. The model was evaluated for two situations: situation I with own area of 100 acres and custom-hiring catchment area of 160 acres combined under rice and wheat, and situation II with own area and custom-hiring catchment area being 60 and 276 acres respectively. For situation I the model guided the user to opt for custom-hiring, while for situation II it gave a decision to own a combine harvester.Keywords
Custom Hiring, Combine Harvester, Rice-Wheat Cropping System, Web-Based Model.Full Text
References
- Mehta, C. R., Chandel, N. S., Senthikumar, T. and Singh, K. K., Trends of agricultural mechanization in India. UN CSAM Policy Brief, 2014, 1–16.
- Sukhpal, S., Kingra, H. S. and Sangeet, A., Custom-hiring services of farm machinery in Punjab: impact and policies. Indian Res. J. Extn. Educ., 2013, 13(2), 33–44.
- Iqbal, M. A., Asif, I., Afzal, S., Akbar, N., Nadeem, A. R. and Zaman, H. K., In Pakistan, agricultural mechanization status and future prospects. Am.-Eur. J. Agric. Environ. Sci., 2015, 15(1), 122–128.
- Wang, Y., Yang, F. and Yan, Z., Design and development of decision support system for equipping farm machines. JNW, 9(6), 1648–1655.
- Camarena, E. A., Gracia, C. and Cabrera, J. M., A mixed integer linear programming machinery selection model for multifarm systems. Biosystems Eng., 2004, 87(2), 145–154.
- Li, M., Design Theory and Application of Agricultural Machinery System Optimization, Northeast Agricultural University, 2009.
- Sahu, R. K. and Raheman, H., A decision support system on matching and field performance prediction of tractor implement system. Comput. Sele. Agric., 2008, 60, 76–86.
- Wang, C., Shao, L., Liu, H. and Zhu, J., Design of agricultural machinery management information system total program in Tongcheng, Anhui Agric. Sci. Bull., 2008, 8, 14–16.
- Wang, J. and He, J., The design and implementation of decision support system for integrated optimal fertilization. Math. Comput. Modell., 2011, 54, 1167–1174.
- Mehta, C. R., Singh, K. and Selvan, M. M., A decision support system for selection of tractor-implement system used on Indian farms. J. Terramec., 2011, 48, 65–73.
- Ning, W. and Kuang, Y., Development of Yunnan agricultural information retrieval system. J. Agric. Mech. Res., 2012, 1, 203–206.