Descripción del proyecto
Agricultura tecnificada para lograr un futuro sostenible
El sector agrario se enfrenta al reto de aumentar la producción minimizando sus efectos adversos en la sociedad, el clima y la biodiversidad. Cada vez es más necesaria una agricultura sostenible y respetuosa con el clima. Los sistemas de ordeño automatizado (SOA) han demostrado ser beneficiosos al reducir el trabajo manual, recortar costes y mejorar la calidad de la leche. El equipo del proyecto dAIry 4.0 financiado con fondos europeos, revolucionará los SOA integrando soluciones de inteligencia artificial, datos y robótica. Mediante técnicas de aprendizaje multimodal, aumento autosupervisado de datos y una novedosa inteligencia artificial explicable —además de implicar activamente a los ganaderos en el proceso—, el equipo del proyecto pretende optimizar la producción de los SOA minimizando su impacto en el medio ambiente y el bienestar animal. Asimismo, promete cambiar las reglas del juego tanto del sector agrario como de la industria alimentaria.
Objetivo
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
Ámbito científico
- agricultural sciencesagriculture, forestry, and fisheriesagriculturesustainable agriculture
- agricultural sciencesanimal and dairy sciencedairy
- natural sciencesbiological sciencesecologyecosystems
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringrobotics
Palabras clave
Programa(s)
Convocatoria de propuestas
HORIZON-CL4-2022-DIGITAL-EMERGING-02
Consulte otros proyectos de esta convocatoriaRégimen de financiación
HORIZON-IA - HORIZON Innovation ActionsCoordinador
1060 Lefkosia
Chipre
Organización definida por ella misma como pequeña y mediana empresa (pyme) en el momento de la firma del acuerdo de subvención.