Monitoring and Analysis of the Gaseous Emissions Collected in a Livestock Farm

Enrica Santolini, Marco Bovo, A. Barbaresi, Miki Agrusti, P. Tassinari, A. Pezzuolo, D. Torreggiani
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Abstract

The study presents the preliminary results of air monitoring process in a dairy farm by a monitoring system designed in the context of a national research project. This study, in particular, aims at developing innovative technical solutions for smart dairy farming in order to increase the herd productivity. The monitoring process, in fact, allows to improve environment conditions and animal welfare of dairy cows and consequently enhance reproduction and production. To this regard, the smart system involved in the study has a fundamental role operating as a tool for a more efficient management of the herd and of the herd housing. In this field, the Smart Monitoring System (SMS) used here has been effectively implemented in order to increase the animal welfare but at the same time increase the animal production. This system, which presents different type of sensors, allows collecting different type of data, giving the opportunity to control and elaborate the barn environmental conditions aiming to increase the dairy sector sustainability. It allows the acquisition of big data time series about physical and environmental conditions of the facilities hosting the cow herds starting from the collection of both indoor and outdoor environmental features. This data collection process allows to carry out a diagnosis of the operating conditions, and early alerts in case of anomalies, as presented in this study. This approach and its results can be useful to understand the seasonality conditions in dairy farms with the goal of improving animal welfare.
某畜牧场气体排放监测与分析
本研究介绍了在国家研究项目背景下设计的监测系统对奶牛场空气监测过程的初步结果。这项研究特别旨在为智能奶牛养殖开发创新的技术解决方案,以提高牛群的生产力。事实上,监测过程可以改善奶牛的环境条件和动物福利,从而提高繁殖和产量。在这方面,研究中涉及的智能系统作为更有效地管理畜群和畜群住房的工具具有基本作用。在这一领域,为了在提高动物福利的同时提高动物产量,这里使用的智能监控系统(SMS)得到了有效实施。该系统提供不同类型的传感器,可以收集不同类型的数据,从而有机会控制和详细说明畜棚环境条件,旨在提高乳制品行业的可持续性。从采集室内和室外环境特征入手,获取牛群所在设施的物理和环境条件大数据时间序列。该数据收集过程允许对运行条件进行诊断,并在异常情况下进行早期警报,如本研究所述。这种方法及其结果可以用于了解奶牛农场的季节性条件,以改善动物福利。
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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