Trends in agri-food robotics: Four years from now - AI and robotics in agri-food: the present and the future Jesús Pablo González | April 14th ...
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AI and robotics in agri-food: the present and the future Trends in agri-food robotics: Four years from now Jesús Pablo González | April 14th, 2021 Robotics and Automation Unit
AI and robotics in agri-food: the present and the future
Trends in agri-food robotics: Four years from now
Content
• Overview of Eurecat
• Key facts in agriculture
• Example of agrifood projects at Eurecat
• Our vision of What’s next?
Innovation with an impact
We promote business competitiveness and the wellbeing
of society through applied research and innovation
51,3M Turnover
50 % + 60
H2020 Projects
under way
of our activity is
with
1.700
Business
2o + 24
H2020 Projects
clients SME led
RTO in
Spain New H2020
+650 22% + 19 projects
professionals PhD
approved
Big R&D&I
Together with companies, we create
and/or improve products, services and processes, + 200 consortium
from coming up with an idea to industrializing it. projects
We strengthen our innovative capacity on an
international level by participating in Digital
Innovation Hubs and Open Innovation Test Beds. 3
AI and robotics in agri-food: the present and the future
Trends in agri-food robotics: Four years from now
Robotics Unit background
Dexterous Manipulation Service Robots Field Robots Cognitive Robotics
• Vision guided robot • 3D SLAM • Full Robot Autonomy • Robot learning
• Specialized path planning • 3D reconstruction • Semantic robotics
• Planning and control • Task Planning and
• Grasping • Human understanding and • Segmentation and object
reasoning
cooperation tracking • Affective interaction
Sectors: Sectors: Sectors: Sectors:
• Manufacturing • Smart Logistics, • Infrastructure inspection • Agriculture,
• Quality Inspection • Assistive robotics • Agriculture and Environment • Construction
• Hybrid and flexible production • Healthcare • Construction • Infrastructure inspection
• CoWorkers • Security
Recent EU projects
Evolution employment in the agricultural sector
AI and robotics in agri-food: the present and the future
Trends in agri-food robotics: Four years from now
Expected agricultural machinery evolution
CAGR +40% CAGR +8%
As example, car industry is expected to growth at CAGR 5-6% 2020-2025
AgROBOfood DIH network
Aiming at establishing and expanding a pan-European
network of Digital Innovation Hubs (DIHs) that:
will stimulate implementation of high tech robotic
concepts for the agri-food sector;
will demonstrate their applicability under practical
circumstances.
GA No. 825395
Initial Innovation Experiments
Competence Centers
GA No. 825395
1st Open Call: Innovation Experiments granted
Competence Centers
GA No. 825395
Agrobofood experiment
Cross-border collaboration
European project for the creation and promotion of a global
network of DIH (Digital Innovation Hubs) in robotics for agriculture
Innovation Experiment: Vineyard monitoring by robots
Automatic analysis of the maturity of the vineyard analyzing multi-spectral
images captured in the field together with satellite and meteorological data.Drone-based agrifood projects Collaboration with Regional Authorities and Japan Detection of golden Japanese forests apple snail (Pomacea monitoring canaliculata) in Ebro Delta Collaboration with Japan
New large scale pilots project
Started in Jan-2021
Robots for protecting crops
Use existing standards: 3-point hitch, ISOBUS, Tractors, Non-technical aims: Socio-economic impact understood, workers
Implements, FMIS/ERP trained in robotics, insurance and financing available, suitable
Improving SoA: Robust autonomous navigation, fault detection and business models, ethical questions answered, implications of
graceful termination, safety, configurability, perform complete task regulations are clearNew large scale pilots project Started in Jan-2021 Robotti (AgroIntelli) Ceol (AGreenCulture) Retrofitted tractor
New EGNSS-based agrifood robotics project
Started in Jan-2021
Technical aims:
- Autonomous navigation and localization with EGNSS
Cost effective robots for smart
- Novel Sprayer with VRT and novel sensors (fed by Copernicus data)
precision spraying
- Safety
- Modularity, Multifunctionality
Commom approaches for spraying have more than of 80% of losses
Emblematic pictures of steep slope vineyards State of the art of sparying machinerySynergies with robotics
Technology cross-fertilization and hybridation
IoE-Crops: Internet of extensive Crops
Connect all systems and cloud services involved in extensive crop growing, making the most of
available and needed resources, increasing farms productivity
Interacciona: Smart quality traceability
Data acquisition from wine bottles trough smarts batteryless labels with sensing capabilities connected with NFC.
Smartphones equipped with user friendly app to obtain data from labels and send to cloud platform for further data
analytics.
VITIGEOSS: Vineyard Innovative Tool based on the InteGration of Earth Observation Services and
in-field Sensors
Data acquisition from in-field sensors (IoT sensors, weather stations, Cameras, Drones)
combined with satellite data and weather, phenology and crop status forecasting models for
the improved diseases management on vineyards and optimization of resources for a
sustainable agricultureAI and robotics in agri-food: the present and the future
Trends in agri-food robotics: Four years from now
What’s next?
Cognitive Robotics Technology combination
Research priority and Flagship project at IoT, Cloud, 5G, Cybersecurity, Big Data Analytics,
Eurecat Mobile technologies, AR/VR…Thank you
Jesús Pablo González
jesuspablo.gonzalez@eurecat.org
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