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Exploring relationships and predictive models based on populations of cattle andfarmers in upper northern Thailand |
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| รหัสดีโอไอ | |
| Creator | Suntorn Wittayakun |
| Title | Exploring relationships and predictive models based on populations of cattle andfarmers in upper northern Thailand |
| Contributor | Pattarapon Witthayakhun, Arthit Panyasak, Pakasinee Khaodang, Nittaya Thongtip, Rung Mulom, Qiongxian Yan |
| Publisher | Rajamangala University of Technology Lanna, Thailand |
| Publication Year | 2568 |
| Journal Title | Journal of Science and Agricultural Technology |
| Journal Vol. | 6 |
| Journal No. | 2 |
| Page no. | 40-50 |
| Keyword | Relationship, Predictive model, Beef, Dairy, Upper northern Thailand |
| URL Website | https://jsat.rmutl.ac.th/ |
| Website title | Journal of Science and Agricultural Technology |
| ISSN | 27301524 |
| Abstract | The study was conducted to explore relationships and predictive models using quantitative informationbased on populations of beef, dairy cattle, and farmers in upper northern Thailand from 2008 to 2023, aiming todescribe the strength and relationship of variables to create a basic predictive model that may benefit planning anddecision-making in entrepreneurship. Quantitative data were provided by the Information and Statistics Group,Information and Communication Technology Center, Department of Livestock Development, Thailand, includingthe numbers of beef and dairy cattle populations, and farmers who raised beef and dairy cattle. Data for beef cattlewere classified into four categories, while dairy cattle were classified into three. The results indicated highlysignificant relationships between all beef categories and household farmers (p<0.01), and four effective predictivemodels were generated. Simultaneously, significant relationships were found among all categories of dairy cattleand household farmers (p<0.05), and three predictive models were initiated. In comparison, the population of thebeef herd was superior to the dairy herd (p<0.01) at a ratio of approximately 8.74:1. Likewise, the population ofbeef farmers was greater than the dairy farmers (p<0.01) at a ratio of about 36.04:1. In conclusion, there is clearstatistical evidence that shows strengthen relationship between animal numbers and farmers that may able to besimple tools for prediction related to agricultural production and entrepreneurship in upper northern Thailand.Further research should be conducted to determine more criteria that may deal with simultaneous influence,maximum likelihood estimation of parameters. |
