Department of Large Animal Clinical Sciences, Western College of Veterinary Medicine, University of Saskatchewan, Saskatoon, Saskatchewan S7N 5B4 (Jelinski, Luby, Waldner); Department of Population Medicine, University of Guelph, Guelph, Ontario N1G 2W1 (Kelton).
Can Vet J. 2020 Oct;61(10):1065-1072.
Data generated from Statistics Canada's 2016 Census of Agriculture and Census of Population were used to describe the adoption of 8 technologies by the Canadian dairy industry: computer/laptop, smartphone/tablet, auto-steering, auto-feeding, auto-environment, robotic milking, global positioning systems (GPS), and geographical information systems (GIS). Logistic regression was used to analyze the adoption of each technology by geographical region, operators' gender, operators' age, herd size, and number of operators per farm. Gender and age were marginally related to the level of adoption of each technology, whereas the number of operators per dairy farm and farm size were associated with increased adoption of most technologies. Quebec had the smallest average farm size, but the highest levels of adoption for 5 of 8 technologies.
利用加拿大统计局 2016 年农业普查和人口普查的数据，描述了加拿大乳制品行业采用的 8 项技术：计算机/笔记本电脑、智能手机/平板电脑、自动转向、自动喂养、自动环境、机器人挤奶、全球定位系统（GPS）和地理信息系统（GIS）。使用逻辑回归分析了每种技术在地理区域、操作人员的性别、操作人员的年龄、畜群规模和每个农场的操作人员数量方面的采用情况。性别和年龄与每种技术的采用水平略有相关，而每个奶牛场的操作人员数量和农场规模与大多数技术的采用增加相关。魁北克省的平均农场规模最小，但在 8 项技术中有 5 项的采用率最高。
