Diversified crop production

Photo: ATB

Project

Title
Verbundprojekt: smart Multisensor Integration for Livestock Care
Acronym
smartMILC
Start
15.09.2021
End
14.09.2024
Coordinating Institute
Deutsches Forschungszentrum für Künstliche Intelligenz GmbH
Partner
Deutsches Forschungszentrum für Künstliche Intelligenz GmbH
proPlant Agrar-und Umweltinformatik GmbH
dropnostix GmbH
iotec GmbH

Project team ATB
Allocated to research program
Summary
The smartMILC project aims to explore the establishment of a digital barn to support agricultural processes and services with a particular application focus on cattle through the joint use of multi-sensor networks and AI models. To this end, the consortium is developing intelligent interactions between previously separate functional circuits that enable automated actions based on perceptible behavioural parameters and health indicators. Digitalisation - and the accompanying technology- and data-driven innovations - offer the opportunity to realise a more sustainable and effective agriculture by contributing to facilitating work processes, ensuring high process qualities, optimising management procedures, increasing animal welfare, ensuring occupational safety and promoting the human-animal relationship. Such innovations include holistic precision farming systems, but also products such as drone-based detection and robotic systems and Kl -based depth sensors. Such devices consist of a network of depth sensors, RGB cameras and multiple microphones to capture the depth, sounds and visuals of a given space (hereafter multi-sensor network). The raw data is particularly suitable for artificial intelligence (AI) models and methods to perform activity and object recognition and to realise a cognitive system for seeing, hearing and evaluating information about the surroundings

Funding
Bundesministerium für Ernährung und Landwirtschaft (BMEL)
Funding agency
Bundesanstalt für Landwirtschaft und Ernährung (BLE)
Grant agreement number
28DK110B20
Funding framework
Bekanntmachung zur Förderung der Künstlichen Intelligenz (KI) in der Landwirtschaft, der Lebensmittelkette, der gesundheitlichen Ernährung und den Ländlichen Räumen im Rahmen von Forschungsvorhaben

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