AGRIBOT EURECAT

Transformative shift towards a fair, safer, and resilient agriculture sector.

The AgRibot project advances robotics and augmented and extended reality (AR/XR) technologies within the agricultural sector.

The project provides a skill transfer to experienced farmers, who may not be experts in robotics, to easily use fleets of mobile manipulators, specifically to automate pruning tasks on organically grown fruit trees, such as apple trees.

In short, AgRibot improves working conditions, reduces the environmental footprint, addresses workforce shortages, and enhances overall sustainability and competitiveness.

Particularly, its focus is on developing technologies that enhance human potential, such that robots become valuable collaborators in agricultural practices.

Eurecat participates in the AgRibot project through its Units of Robotics and Automation and Audiovisual Technologies, with contributions on the development of XR technology, the training platform and the monitoring and control of the robot, as well as advances in reinforcement learning and generative AI models.

Moreover, Eurecat leads the integration of developed technologies in 6 different pilot case studies with different conditions, addressing key tasks in agriculture: weed identification and spraying, fertilisation, crop monitoring, and orchard harvesting and pruning. Eurecat participates in two of them, that will take place in Belgium and Spain.

The AgRibot consortium consists of 18 partners from nine European countries.

LOGO AGRIBOT EURECAT

General details

Project

AgRibot – Harnessing Robotics, XR/AR, and 5G for a New Era of Safe, Sustainable, and Smart Agriculture

Project reference

101183158

Programme and call for tender

Project funded under by the Horizon Europe programme of the European Union under the call HORIZON-CL6-2024-GOVERNANCE-01-7: Enhancing working conditions and strengthening the work force through digital and data technologies – the potential of robotics and augmented reality in agriculture (RIA)

More information about the project

AgRibot

Related ODS

By automating agricultural tasks, the project can reduce labor costs and improve productivity, potentially increasing incomes for farmers. The training platform could also provide employment opportunities for rural populations, especially if adapted for low-skill workers.

Enhancing pruning efficiency in fruit orchards can increase crop yields and improve food quality, contributing to food security. Optimised pruning can lead to healthier crops and more sustainable food production, helping to address hunger. 

Automating pruning promotes efficiency and sustainable growth in the agricultural sector. By enabling workers to learn advanced skills in a user-friendly, virtual setting, the project supports decent job creation and economic productivity in agriculture.

Automating pruning can help optimise resource use by ensuring that trees are pruned precisely, supporting healthy crop growth with minimal waste. The project also promotes data-driven, responsible farming practices.

By optimising crop yields through improved pruning, the project can contribute to sustainable agriculture, which is essential for mitigating climate impacts. Additionally, improved productivity reduces the need for expanding farmland, aiding in climate preservation.