RASFarm
Highlight
RASFarm is a mobile collaborative robotic station designed to autonomously harvest fruit in outdoor environments. The solution is able to collect geo-referenced data on crop status during growth, and harvested produce characteristics (weight, shape, colour) during picking.
Scenario
In today's agriculture, farmers are juggling the demands of maintaining top-notch produce quality while keeping costs down. The reliance on seasonal workers for harvesting is becoming increasingly problematic. Meanwhile, the industry demands better communication and farmers need real-time insights into their crops' health, growth, and quality to maintain a competitive edge.
By automating harvesting and collecting significant data, RASFarm is set to change farming practices, boost efficiency, and put the power of informed decision-making right in the farmers' hands.
Solution
RASFarm combines robotic technology with advanced data analytics, delivering a complete solution for modern agriculture. The system features an array of innovative functionalities:
- Satellite technology, sensors and 3D vision systems integration, to enhance the precision and accuracy of its data collection and operational capabilities.
- Autonomous harvesting, employing a robotic platform designed to operate in outdoor environments, with precision and efficiency.
- Crop monitoring, collecting geo-referenced data on crop health and status
- Harvest data collection, gathering detailed data on fruit characteristics, including weight, shape, and colour, and offering valuable insights into harvest quality.
- Decision support tools, analysing key indicators of plant health, crop growth, and fruit quality to inform agricultural decision-making.
Labour optimisation, reducing dependency on seasonal labour.
Outcomes
The RASFarm roadmap foresees the execution of a demonstration phase in 2025 followed by the launch of the product by 2027. The product to be developed is a robotic platform integrating picking systems and sensors for agricultural companies, allowing farmers to optimise their downstream logistics.
By capturing detailed information about harvested products and seamlessly distributing this data along the supply chain, RASFarm will transform how agricultural businesses operate, from field to market.
G-nous role
G-nous spearheads both the research and development initiatives and the overall project management of the feasibility study, leveraging its deep expertise in collaborative and intelligent robotics to drive innovation in agriculture.