The way we eat needs to change. Agriculture accounts for around ten per cent of our greenhouse gas emissions in both Europe and the US, with little improvement over recent years. From more efficient crop management to chemical-free weeding, the fields are ripe robotics and Artificial Intelligence.
Due to coronavirus, robotics and farm automation technologies have seen a significant spike in interest and investment, marking the start of a structural change in food and farming. But, for the most part, commercial robotics is still mainly unexploited.
By building upon the existing agricultural machinery, standards, and best practices, the project will shape and deliver a fully autonomous system, ready for large-scale on-farm trials.
The focus is on high-value crops and the most demanding and repetitive field operations, namely mechanical weed control and spraying against pests and diseases.
France
Traditional mechanical weeding is not economically viable long-term. Robs4Crops applies fully integrated crop management system to reduce the use of chemicals and hazardous work.
France
Efficient weeding robots can differentiate and remove inter-and intra-row weeds simultaneously, while identifying and providing species information. In this pilot site, we design an integrated weed control system to meet the requirements of heavy load and efficient weeding in the field.
In the last years, the commercial interest in table grapes has increased. However, table grape berries must be of good external quality and attractive appearance to meet the market specifications. Reducing the number of labour hours required mainly for table grapes spraying, is a major production constraint…
Spain
While most of the apples from Catalonia are usually exported, the demand in the domestic market is currently high. To improve crop yielding, a large amount of fungicides is continuously applied in orchards.
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Wageningen University & Research
Department of Agrosystems Research
PO Box 16
6700 AA Wageningen
The Netherlands
info@robs4crops.eu
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 101016807.
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