XILBI PROJECT / Agriculture · Digital twins
FISSFarming Intelligence System of Systems
A system-of-systems approach connecting farm assets, data services and operational decision-making.Visit the FISS website↗PROJECT OVERVIEW
FISS took the interaction between farmers and plantation fields to a new level through an environmental digital twin and an AI-based decision-support system. It connected existing technological subsystems, exchanged and analysed their data through a cyber-physical platform and returned practical recommendations to farmers.
The interfaces were designed for desktop and mobile use, with an augmented-reality display concept extending the system into the field.
FROM NEED TO RESULT
Operational challenge
Intensive and ultra-intensive farms already use sensors, machinery and specialist services, but these assets often operate as separate subsystems. Farmers must interpret many unrelated data streams before deciding how to manage irrigation, crops, energy and field operations.
Engineering approach
The FISS cyber-physical platform combined an environmental digital twin with supervised machine learning and deep-learning techniques. The architecture was designed to scale from individual variables, such as water volume, to combined recommendations using weather, crop, soil-nutrient and energy data.
Results and legacy
FISS demonstrated a route towards complete digitalisation of the farming operational environment. The system supported more streamlined crop management, optimisation of operational and management procedures and AI-assisted recommendations suited to intensive almond and pistachio plantations.
TECHNOLOGY SYSTEM
The capabilities assembled around the project.
- 01Environmental digital twin
- 02Cyber-physical systems
- 03AI decision support
- 04Machine learning
- 05Deep learning
- 06Desktop and mobile interfaces
- 07Augmented reality
PARTNERSHIP & FUNDING
Delivered through European collaboration.
- HUBCAP ecosystem
