Smart Animal Agriculture: Application of Real-Time Sensors to Improve Animal Well-Being and Production
Smart Animal Agriculture: Application of Real-Time Sensors to Improve Animal Well-Being and Production
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DOI：
10.1146/annurev-animal-020518-114851
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发表时间：
2019-01-01
期刊：
影响因子：
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通讯作者：
Pastell, Matti
中科院分区：
文献类型：
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作者：
Halachmi, Ilan;Guarino, Marcella;Pastell, Matti
在第一世界国家，肉类、牛奶和鸡蛋等动物产品的消费已经趋于平稳，但在发展中国家，这一消费正在急剧上升。农业必须增加产量以满足需求，为提高自动化和技术创新打开大门;集约化，可持续农业;和精准畜牧业（PLF）应用。医疗问题的早期指标正在激增，这些指标使用传感器早期提醒养牛户需要特殊护理的个别动物。可穿戴技术主导市场。在绵羊、山羊、猪、家禽和鱼等动物价值较低的系统中，每个畜群/羊群/学校一个传感器，而不是每个动物一个传感器，将变得普遍。PLF传感器产生大量数据，许多参与者从PLF数据中受益。目前还没有共享传感器生成数据的标准，限制了商业传感器的使用。提供准确数据的技术可以改善管理良好的农场。开发将数据转化为可操作解决方案的方法至关重要。
Consumption of animal products such as meat, milk, and eggs in first-world countries has leveled off, but it is rising precipitously in developing countries. Agriculture will have to increase its output to meet demand, opening the door to increased automation and technological innovation; intensified, sustainable farming; and precision livestock farming (PLF) applications. Early indicators of medical problems, which use sensors to alert cattle farmers early concerning individual animals that need special care, are proliferating. Wearable technologies dominate the market. In less-value-per-animal systems like sheep, goat, pig, poultry, and fish, one sensor, like a camera or robot per herd/flock/school, rather than one sensor per animal, will become common. PLF sensors generate huge amounts of data, and many actors benefit from PLF data. No standards currently exist for sharing sensor-generated data, limiting the use of commercial sensors. Technologies providing accurate data can enhance a well-managed farm. Development of methods to turn the data into actionable solutions is critical.