Description du projet
L’agriculture technicisée pour un avenir durable
Le secteur agricole est confronté au défi d’augmenter la production tout en minimisant les effets négatifs sur la société, le climat et la biodiversité. Le besoin d’une agriculture durable et respectueuse du climat se fait de plus en plus sentir. Les systèmes de traite automatisés (STA) se sont révélés bénéfiques en réduisant le travail manuel, en diminuant les coûts et en améliorant la qualité du lait. Le projet dAIry 4.0 financé par l’UE, révolutionnera les STA en intégrant des solutions d’IA, de données et de robotique. En s’appuyant sur des techniques d’apprentissage multimodales, sur l’augmentation des données auto-supervisées et sur une nouvelle IA explicable, ainsi que sur l’implication active des agriculteurs dans le processus, le projet cherche à optimiser la production de STA tout en minimisant son impact sur l’environnement et le bien-être des animaux. Il promet de changer la donne pour le secteur agricole et l’industrie alimentaire.
Objectif
The agricultural sector has a big challenge: producing more with fewer raw materials and less adverse effects on society, production animals, climate and biodiversity. Optimal use of resource is even more important now, due to the imminent food crisis. Climate-friendly sustainable agriculture, with care for natural resources, is essential for our food production and quality of life, today and for future generations.
Automated Milking Systems (AMS) were developed in the late 20th century under the perspective of reducing manual labour & costs and improving quality of life for the farmers. Not only have these machines improved in harvesting milk efficiently, but they also have the added ability to collect a greater amount of data about production, milk composition, cows health and behaviour. This could allow producers to make more informed management decisions, while in parallel reducing emissions and increasing animal welfare.
Nevertheless, currently available AMS have important limitations in terms of optimising their operation.
dAIry 4.0 addresses these challenges, integrating and optimising AI, data and robotics solutions to demonstrate how this combination will optimise AMS production aspects and minimise adverse effects on society, climate and biodiversity. The approach will be demonstrated through real-world use cases of interest both for the farming sector and the food industry. In terms of AI tools to be used, the project will focus on the following novelties:
- Developing multimodal learning techniques to efficiently utilize multiple types of information for animal health & overall animal status monitoring
- Developing self-supervised and novel data augmentation techniques to reduce the amount of labelled training data needed
- Exploring novel explainable AI techniques to increase transparency of the system and eventually facilitate acceptance by the users
- Including the farmer in the loop to build the cognitive abilities for the system
Champ scientifique
- agricultural sciencesagriculture, forestry, and fisheriesagriculturesustainable agriculture
- agricultural sciencesanimal and dairy sciencedairy
- natural sciencesbiological sciencesecologyecosystems
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringrobotics
Programme(s)
Régime de financement
HORIZON-IA - HORIZON Innovation ActionsCoordinateur
1060 Lefkosia
Chypre
L’entreprise s’est définie comme une PME (petite et moyenne entreprise) au moment de la signature de la convention de subvention.