Hybrid taguchi-grey relational analysis approach for optimizing cutter operational parameters in selective cauliflower harvesting.

Autor:	Kushwah A; Research Scholar, Division of Agricultural Engineering, ICAR-IARI, New Delhi, 110012, India., Sharma PK; Principal Scientist, Division of Agricultural Engineering, ICAR-IARI, New Delhi, 110012, India., Kushwaha HL; Head, Division of Agricultural Engineering and Renewable Energy, ICAR-CAZRI, Jodhpur, 342003, India., Sharma BB; Department of Vegetable Science, College of Horticulture & Forestry, RLBCAU, Jhansi, 284003, India., Shrivastava AK; Dean, College of Agricultural Engineering, JNKVV, Jabalpur, 482004, India., Nag RH; Research Scholar, Division of Agricultural Engineering, ICAR-IARI, New Delhi, 110012, India., Chowdhury M; Research Scholar, Division of Agricultural Engineering, ICAR-IARI, New Delhi, 110012, India., Carpenter G; Scientist, ICAR-Central Institute of Agricultural Engineering, Bhopal, 462038, India. gopal91carpenter@gmail.com., Yadav R; Research Scholar, Water Technology Center, ICAR-IARI, New Delhi, 110012, India.
Jazyk:	angličtina
Zdroj:	Scientific reports [Sci Rep] 2024 Nov 29; Vol. 14 (1), pp. 29709. Date of Electronic Publication: 2024 Nov 29.
DOI:	10.1038/s41598-024-81323-z
Abstrakt:	Cauliflower is an important winter crop grown in India, its curds are rich in nutritional profile, containing valuable minerals and vitamins. However, cauliflower harvesting is mainly accomplished by hands, which is time-consuming and requires a high labour force. On the other hand, most developed cauliflower harvesters are once over or single pass type, which harvests all plants irrespective of their maturity. So, the selective harvester could improve the cauliflower curds yield, and then decrease the labour requirement. To improve the cutting performance of the selective cauliflower harvester, the working parameters of the chainsaw cutting mechanism need to be considered and optimized. This research investigates the impact of cutting height, feed (push) force, and cutting speed on the efficiency of the cutter during harvest. The Taguchi approach, together with grey relational analysis (GRA), was employed to identify the most favorable combination of operational parameters. In addition, the variance analysis was conducted to statistically examine the impact of multiple parameters. The findings indicated that the feed force was the major parameter that influenced the cutting force, splitting failure levels, and cutting time. The most effective parameter combination consisted of a cutting height of 15 mm, a feed force of 10 N, and a cutting speed of 5 m/s. The grey relational grade of the ideal parameter combination has shown a 0.322 increase in comparison to the grade achieved with the initially selected parameter combination. This setting was further incorporated in the developed selective cauliflower harvester to improve the performance of its cutting mechanism. Competing Interests: Declarations. Competing interests: The authors declare no competing interests. (© 2024. The Author(s).)
Databáze:	MEDLINE
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