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The objective of this work is to design and fabricate tobacco leaf-stripping machine to enhance economic production of farmers in Phetchabun province. The evaluation score and acceptance level of the machine design was 4.46 ± 0.88 and agree, respectively. The evaluation score of the machine after use was 4.53 ± 0.86 which the acceptance was in the level of totally agree. In this research, tobacco leaves with 400 – 420 mm, 421 – 440 mm and 441 – 460 mm lengths were tested with the machine at speed of 50 rpm, 100 rpm and 150 rpm. The results showed that the machine set at 100 rpm gave the best leaf appearance. While the leaves were widely damaged at 50 and 150 rpm. The comparison of tobacco leaf-stripping between traditional method (manual striping) and the machine was also investigated. The machine gave higher production rate and better leave appearance compared to traditional method. At 100 rpm, 56 leaves out of 60 leaves was in a good appearance. However, calculation of economic production was based on 500 kg of tobacco leaf. Operation time of traditional method was 6.2 h per day while this tobacco leaf-stripping machine was 3.9 h per day. The reduction of manpower and working time was observed. The manpower and working time were reduced from 5 – 8 people per day to 3 – 5 people per day and 4 – 6 h per day to 2 – 4 h per day, respectively.
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 Thai Tobacco Growers and Traders Association, Information on the Virginia tobacco problem, Guidelines for problem resolution and development, 2008.
 S. Saksirichai, C. Arawan, S. Thiraphong, M. Yodrak, Design and invention of a drug stalk shredder for a group of farmers in Phetchabun Province, Production Technology Program Faculty of Agricultural Technology Phetchabun Rajabhat University, 2015.
 S. Saksirichai, Research proposal proposal on research and development of drug stalk shredder for Phetchabun Province Farmers Group Production Technology Program, Faculty of Agricultural Technology and Industrial Technology Phetchabun Rajabhat University, 2016.
 Y. Artit, K. Pakorn, A Machine Vision System for Thai Flue-Cured Tobacco Classification. Department of Control System and Instrumentation Engineering, King Mongkut’s University of Technology Thonburi, Thailand, 2005.
 K.S. Prashant, Y. Amit, S. Lucky, S. Shalini, M. Ravi, Social Determinants of Dual Tobacco Use in India. An analysis based on the two rounds of Global Adult Tobacco Survey, Preventive Medicine Reports, India, 2019.
 G. Sandri, A. Sandri, The defects of curing the leaves of tobacco bright, Informatore Agrario. 1997, Vol.53. Issue 29. pp.53-56.
 W.H. Dumouchel, F.L. Brien, Integrating a Robust Option into a Multiple Regression Computing Environment, Computer Science and Statistics, Proceedings of the 21st Symposium on the Interface. 1989.
 C. Chirawat, Economic return and cost of Berley varieties of smoked varieties, Thap Phueng Subdistrict, Si Samrong District Sukhothai Province, Journal of Naresuan University. 18 (2009) 37 - 49.
 W. Phairat, Technology transfer in automobile assembly industry, University journal Srinakharinwirot (Science and Technology Program). July – December, 10 (2013).
 J.S. Campbell, Tobacco and environment: the continuous reduction of worldwide energy source used for green leaf curing, Beitrage zur Tabakforschung International. 16 (1995) 107-117.