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Collaborative project: Cross innovation and digitisation in animal-friendly pig farming, taking into account the protection of resources - 'DigiSchwein advise, qualify and promote'. Subproject 3 (DigiSchwein)

Project


Project code: 28DE109C18
Contract period: 10.02.2020 - 31.08.2024
Budget: 348,723 Euro
Purpose of research: Applied research
Keywords: animal husbandry, precision livestock farming, sensor technology, digital world, animal health, husbandry techniques, animal welfare, data management, information technology, communication technology, pigs

The experiment field 'DigiSchwein' pursues the strategic goal of further developing and making practicable the opportunities of digitization, knowledge transfer and transformation for the broad agricultural practice with a focus on animal-friendly and resource-saving pig farming (ecological / conventional). A specific developed data model - the farm management software 'DigiSchwein' - is intended to support pig farmers in their daily work with the animals. This should be done in form of an early warning system, through continuously recorded and targeted evaluated sensor data. The evaluation focuses on current and practice-oriented problems of modern pig farming: plausibility analyzes of existing sensor technology; decision aids for the early detection of illness, keeping of undocked animals / reduction of tail biting; monitoring system for birth management; nutrient flows - digital transparency in the pigsty. The cooperation of the partners from science and industry, with a constant exchange of knowledge, focuses on the further development and diffusion of digitization into broad agricultural practice. All in all, the 'DigiSchwein' early warning system aims to promote animal welfare, increase resource efficiency and protect the environment through nutrient reduction. By using modern technologies, sustainable agriculture will be further developed. The consortium consists of interdisciplinary experts from agriculture, husbandry technology, computer science/IT institutions, agricultural lighthouse farms and universities. The partners of the project work out results in nine subprojects / work packages (AP): WP 1: Coordination / Organisation WP 2: Digitization, Modeling, Data Management / Analysis WP 3: Plausibility analysis of existing technology/sensors and data WP 4: Decision-making aids for early detection of disease WP 5: Keeping uncoped pigs: techniques for early detection of tail biting and prevention AP 6: Monitoring system for birth management AP 7: Nutrient Flows

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Subjects

  • Animal Husbandry
  • Agricultural Technology Animal Production
  • Animal health
  • Communication Sciences
  • Computer science
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Excutive institution

OFFIS e.V.

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