A data-architecture to monitor and collect cow-individual methane emissions real-timefrom commercial dairy farms

Research output: Chapter in Book/Report/Conference proceedingConference paperAcademic

Abstract

Real-time monitoring and collecting cow-individual methane emissions will help individual farmers in identifying which management interventions affect methane emissions, and the dairy sector in developing strategies to reduce methane emissions. To achieve this real-time monitoring and collecting of cowindividual methane data, an architecture was developed that automates both aspects in a commercial setting. The first step in the data architecture was to collect the analogue signal of sniffers real-time, and transform this signal into methane concentrations. Because these sniffers do not record cow identification, the second step was to combine the methane concentration data with real-time cow identification. The cow identification is retrieved by automatically detecting the ear tag in a live-stream video footage, to subsequently ‘read’ the 4-digit number of that ear tag. With the deployed architecture, we developed a universal, low-tech, and scalable method to collect cow-individual sensor data real-time for technologies that do not record cow identification by default.
Original languageEnglish
Title of host publicationProceedings of 12th World Congress on Genetics Applied to Livestock Production (WCGALP)
Subtitle of host publicationTechnical and species orientated innovations in animal breeding, and contribution of genetics to solving societal challenges
EditorsR.F. Veerkamp, Y. de Haas
Place of PublicationWageningen
PublisherWageningen Academic Publishers
Pages3307-3310
Number of pages4
ISBN (Electronic)9789086869404
DOIs
Publication statusPublished - 2022
EventWorld Congress on Genetics Applied to Livestock Production: WCGALP 2022 - Rotterdam, Netherlands
Duration: 3 Jul 20228 Jul 2022

Conference

ConferenceWorld Congress on Genetics Applied to Livestock Production: WCGALP 2022
Country/TerritoryNetherlands
CityRotterdam
Period3/07/228/07/22

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