IoT and big data in animal farming

N. Valov, Tsvetelina Mladenova, Irena Valova
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Abstract

In this paper the smart animal farming problems are discussed. The offered on the market devices and sensors, which are used for monitoring and collecting data on the sensation and daily habits of the animals, are considered and analysed. Precise farming and the use of IoT offers a new and different way of farming. Data collection from each individual animal allows for individual care to be taken or individual way of farming the animals rather than the compulsory farming of a group or a herd. It achieves much more careful monitoring and more precise control over the farming. The main aim of these technologies is still using resources effectively which currently means that they are only used when, where and as much as needed. Software developers can create specialised apps on the bases of the data from these sensors and data collection devices that allow for data sharing and use from multiple different farms, data analysis and suggestions, tips and solutions for specific problems. This can be incredibly useful to prevent large disease hotspots by using the collected and analysed shared data to find early signs of the disease. Apart from data, these apps typically allow sharing photos, reports, warnings, questions and discussions between the farmers.
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动物养殖中的物联网和大数据
本文对智能动物养殖问题进行了探讨。市场上提供的设备和传感器,用于监测和收集动物的感觉和日常习惯的数据,被考虑和分析。精准农业和物联网的使用提供了一种新的、不同的农业方式。从每只动物身上收集的数据允许采取个人护理或以个人方式饲养动物,而不是强制饲养一群或一群动物。它实现了对农业更仔细的监测和更精确的控制。这些技术的主要目的仍然是有效地利用资源,目前这意味着它们只在需要的时候、地点和尽可能多地使用。软件开发人员可以根据这些传感器和数据收集设备的数据创建专门的应用程序,这些应用程序允许来自多个不同农场的数据共享和使用,数据分析和建议,针对特定问题的提示和解决方案。通过使用收集和分析的共享数据来发现疾病的早期迹象,这对于预防大型疾病热点非常有用。除了数据,这些应用程序通常允许农民之间共享照片、报告、警告、问题和讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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