Overview
The O-CEI AI-block will optimise agricultural tasks in kiwi plantations, using state-of-the-art models for efficient operations and route planning, with real-time data storage and semi-autonomic management.
Expected Outcomes
- To optimise navigation and scheduling of tasks within the field using AI utilities from the Marketplace to cut downtime and energy waste.
- KPI: Time to collect, analyse and act upon (un)expected event: reduction of 70% (over current 2h).
- To monitor live energy data while demonstrating how IoT based monitoring and edge analytics can reduce e-tractor energy use, enabling farmers to make more efficient decisions.
- KPI: Reduction of energy consumption of 50% (kWh/ha*year) compared to annual l/ha.
This use case is now available in the hourglass canvas, mapping the relevant stakeholders against the capabilities required for delivery and uptake. Explore it to identify who needs to be engaged, what is already in place, and where capability gaps remain
View this use case on the hourglass model
Explore the community around this use case
Industrial optimisation and productivity
The Industrial optimisation and productivity Sphere targets industrial environments, improving efficiency, automation, and productivity through CEI technologies.
Discover more about sphere (opens in a new window)
Mobility logistics and software defined vehicles
The Mobility, Logistics and the Software-Defined Vehicle Sphere covers transport, logistics, and connected mobility ecosystems, including software-defined vehicles.
Discover more about sphere (opens in a new window)