Prioritisation of Specific Wheat Sowing Technologies Based on Analytic Hierarchy Process and Farmers’ Perceptions
DOI:
https://doi.org/10.52151/jae2024613.1857Keywords:
criterion, consistency ratio, data matrix, field capacity, priority weights, Python coding, wheat seederAbstract
Selection of an appropriate wheat-sowing technology in the combine harvested paddy fields is essential for the timely sowing of wheat after harvesting paddy. The importance of parameters that affect farmers' decisions in selection of wheat sowing technology (WST) in the combine harvested paddy fields is assessed in the present work by implementing an analytical hierarchy process (AHP) technique. AHP is the most comprehensive approach for making judgements with many criteria since it supports a hierarchical structure and quantitative and qualitative features. The suitability of four most commonly used wheat sowing technologies, namely, happy seeder (T1 ), super seeder (T2 ), smart seeder (T3 ) and roto seeder (T4 ), was assessed based on the importance given to six criteria, namely, ease of use (C1 ), machine capital cost (C2 ), fuel consumption (C3 ), machine field capacity (C4 ), crop yield (C5 ), and crop germination (C6 ). Based on farmers’ perceptions and using the analytical hierarchy process approach, criteria C5 was assigned a maximum criteria priority weights of 3.21 and 3.87 for selection of T1 and T2 , respectively; while criteria C6 was assigned a maximum criteria priority weights of 3.56 and 3.63 for selection of T3 and T4 , respectively. The results showed that farmers were less concerned with machine field capacity and more focused on crop output (yield) while selecting a wheat sowing technology. Besides crop yield, crop germination and ease of use were other important factors that farmers considered highly while prioritising and selecting a wheat sowing technology for a combine harvested paddy field.
Downloads
References
Akıncı, H., Özalp, A. Y., & Turgut, B. (2013). Agricultural land use suitability analysis using GIS and AHP technique. Computers and Electronics in Agriculture, 97, 71-82. https://doi.org/10.1016/j.compag.2013.07.006.
Allahyari, M. S., Firouzi, S., Pourrahman, B., & Marzban, S. (2022). A comprehensive look to the universal self-propelled rice transplanters using Analytic Hierarchy Process (A case of developing country). Agricultural Engineering International: CIGR Journal, 24(2), 51-59.
Amini, S., & Asoodar, M. A. (2016). Selecting the most appropriate tractor using Analytic Hierarchy Process–An Iranian case study. Information Processing in Agriculture, 3(4), 223-234. https://doi.org/10.1016/j.inpa.2016.08.003.
Anonymous. 2022. Annual Report 2021-22. Department of Agriculture and Cooperation, Ministry of Agriculture, Government of India.
Cankurt, M., & Miran, B. (2010). Tractor brand preferences of farmers: An analytic hierarchy process approach. Tarım Makinaları Bilimi Dergisi, 6(1), 13-17.
Franek, J., & Kresta, A. 2014. Judgement scales and consistency measure in AHP. Procedia Economics and Finance, 12, 164-173. https://doi.org/10.1016/S2212-5671(14)00332-3.
Fucheng, W., Yang, L., & Jianlin, K. (2022). Research on design of intelligent agricultural harvester based on QFD and AHP. International Journal of New Developments in Engineering and Society, 6(1), 11-19. https://doi.org/10.25236/IJNDES.2022.060103.
Gautam, A., & Aulakh, G. S. (2022). Impact of sowing technologies of wheat cultivation in ferozepur, Punjab. Indian Journal of Extension Education, 58(4), 173-175. https://doi.org/10.48165/IJEE.2022.58436.
Grieger, A., Sławiński, K., & Bujaczek, R. (2011). The research of agricultural machines maintenance and repair services in a special production. V International Scientific Symposium: Farm machinery and process management in sustainable agriculture, Lublin, Poland, 23-24 November 2011, 43-44. Available at: https://www.cabidigitallibrary.org/doi/pdf/10.5555/20123048237 (accesed on: 4 August 2024).
Grisso, R. D., Kocher, M. F., Adamchuk, V. I., Jasa, P. J., & Schroeder, M. A. (2004). Field efficiency determination using traffic pattern indices. Applied Engineering in Agriculture, 20(5), 563-572. DOI: 10.13031/2013.17456.
Gupta, A., Singh, P., Singh, G., Sekhon, B. S., & Sodhi, G. P. S. (2021). On farm testing of rice residue management techniques for wheat (Triticum aestivum L.) establishment in Punjab. Indian Journal of Extension Education, 57(4), 85-88. https://doi.org/10.48165/IJEE.2021.57419.
Kalantari, D., Mollapour, S., & Rajabi-Vandechali, M. (2018). Selecting the proper hole-digger for usage in orchards using Analytical Hierarchy Process. Journal of Researches in Mechanics of Agricultural Machinery, 7(2), 67-78.
Karmarkar, A. U., & Gilke, N. R. (2020). An application of AHP for parameter importance evaluation for farm machinery selection. In IOP Conference Series: Materials Science and Engineering, 810(1), 012022. https://doi.org/10.1088/1757-899X/810/1/012022.
Kazemi, H., & Akinci, H. (2018). A land use suitability model for rainfed farming by Multi-criteria Decision-making Analysis (MCDA) and Geographic Information System (GIS). Ecological Engineering, 116, 1-6. https://doi.org/10.1016/j.ecoleng.2018.02.021.
Koloseni, D., Helldin, T., & Torra, V. (2020). AHP-like matrices and structures—Absolute and relative preferences. Mathematics, 8(5), 813. https://doi.org/10.3390/math8050813.
Kushwaha, N. L. & Anil Bhardwaj. (2017). Remote sensing and GIS based morphometric analysis for micro-watershed prioritization in Takarla-Ballowal watershed. Journal of Agricultural Engineering (India), 54(3), 48-56. https://doi.org/10.52151/jae2017543.1631.
Lee, M. C., Wang, H. W., & Wang, H. Y. (2007). A method of performance evaluation by using the analytic network process and balanced score car. In 2007 International Conference on Convergence Information Technology (ICCIT 2007), 235-240. https://doi.org/10.1109/ICCIT.2007.216.
Narang, M. K., Chandel, R., & Thakur, S. S. (2016). Machine for wheat sowing without burning of paddy straw. Indian Farming, 66(5), 23-25.
Nikolopoulou K. (2022). What is purposive sampling? | Definition & Examples. Scribbr. Available at: https://www.scribbr.com/methodology/purposive-sampling/ (accessed on 10 March 2024).
Pandhu A. (2021). Super seeder: A solution for stubble burning. Just Agriculture, Special Issue - CT Group, 24-26. Available at https://justagriculture.in/files/magazine/special/ct/004%20SUPER%20SEEDER.pdf (accesed on 4 August 2024).
Parihar, D. S., Prakash, A., Kumar, S., Dixit, A., & Kumar, A. (2022). Rice residue management using direct seeding technology. Agricultural Engineering Today, 46(4), 55-59.
Ranji, A., Parashkoohi, M. G., Zamani, D. M., & Ghahderijani, M. (2022). Evaluation of agronomic, technical, economic, and environmental issues by analytic hierarchy process for rice weeding machine. Energy Reports, 8, 774-783. https://doi.org/10.1016/j.egyr.2021.12.028.
Saaty, T. L. (1990). How to make a decision: the analytic hierarchy process. European Journal of Operational Research, 48(1), 9-26. https://doi.org/10.1016/0377-2217(90)90057-I
Saaty, T.L. (2001). Fundamentals of the Analytic Hierarchy Process. In: Schmoldt, D.L., Kangas, J., Mendoza, G.A., Pesonen, M. (eds), The Analytic Hierarchy Process in Natural Resource and Environmental Decision Making. Managing Forest Ecosystems, Vol 3, pp. 15-35, Springer, Dordrecht. https://doi.org/10.1007/978-94-015-9799-9_2
Sahoo, S., Ramole, M. M., Dahiphale, P., Awasthi, S. & Pateriya, B. (2024). Geospatial technology based morphometric analysis and watershed prioritization of lower Satluj basin in India for groundwater recharge potential. Tropical Ecology, 65, 43-58. https://doi.org/10.1007/s42965-023-00307-8.
Scholl, A., Manthey, L., Helm, R., & Steiner, M. (2005). Solving multiattribute design problems with analytic hierarchy process and conjoint analysis: An empirical comparison. European Journal of Operational Research, 164(3), 760-777. https://doi.org/10.1016/j.ejor.2004.01.026.
Singh, G., Singh, P., Sodhi, G. P. S., & Tiwari, D. (2020). Adoption status of rice residue management technologies in south western Punjab. Indian Journal of Extension Education, 56(3), 76-82.
Sharma, A., & Brar, A. S. (2022). Wheat Drilling Directly in Combine Harvested Paddy Fields: A Comparative Input-Output Energy Analysis. Journal of Biosystems Engineering, 47(3), 370-385. https://doi.org/10.1007/s42853-022-00152-y.
Sushanth, K., & Bhardwaj, A. (2019). Assessing geomorphologic characteristics and demarcating runoff potential zones using RS and GIS in Patiala-Ki-Rao watershed of Shivalik Foot-Hills, Punjab. Journal of Agricultural Engineering (India), 56(1), 45-54. https://doi.org/10.52151/jae2019561.1676.
Taherdoost, H. (2017). Decision making using the analytic hierarchy process (AHP); A step by step approach. International Journal of Economics and Management Systems, 2, hal-02557320.
Vargas, L. G. (1990). An overview of the analytic hierarchy process and its applications. European Journal of Operational Research, 48(1), 2-8. https://doi.org/10.1016/0377-2217(90)90056-H.
Yang, J., & Chen, B. (2014). Global warming impact assessment of a crop residue gasification project—a dynamic LCA perspective. Applied Energy, 122, 269-279. https://doi.org/10.1016/j.apenergy.2014.02.034.
Zhang, J., Su, Y., Wu, J., & Liang, H. (2015). GIS based land suitability assessment for tobacco production using AHP and fuzzy set in Shandong province of China. Computers and Electronics in Agriculture, 114, 202-11. https://doi.org/10.1016/j.compag.2015.04.004
