Leibniz MMS Days 2024 - Abstract

Abdollahipour, Razieh

Advancing Dairy Farm Management: Leveraging Data, Neural Networks, and Interactive Web Design

Within the framework of the ET4D project, we introduce a data management system (DMS) for dairy farm management, leveraging deep neural networks for data analysis and predictive insights. Developed by the Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB) with partners across seven countries, this initiative aims to enhance animal welfare, boost productivity, and reduce environmental impact through a user-centered web application. This platform, designed for stakeholders, farmers and other groups across the dairy industry, offers interactive tools and dashboards for promoting transparency and collaboration. By integrating advanced technology and a focus on interactive design, the ET4D project aims to revolutionize dairy farm management. ET4D is part of the ERA-NET Cofund ICT-AGRI-FOOD, with funding provided by national sources and co-funding by the European Union?s Horizon 2020 research and innovation program, Grant Agreement number 862665.