AboutThe overall goal of ANTONIO project is the development and implementation of multi-sensor systems and sensor processing algorithms to enable agri-robots to perform plant phenotyping and
precision agriculture tasks, such as precise local application of pesticides/fertilizers and yield estimation. The envisaged idea is based on an integrated sensor network, including mobile sensors mounted on board of ground robots and drones. Information coming from the fixed sensing devices will flag “attention spots” in the crop for further local investigation by the robotic platforms. |
ANTONIO's approach will lead to in-field high-throughput crop assessment, and this narrow temporal and spatial scale of detection ability can enable precision farming applications that rely on accurate high-resolution local maps
Variable rate
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Crop monitoring and yield estimation
Sensing technologies will be applied to monitor qualitative and morphometric parameters related to crop composition and development, through spectral analysis and 3D reconstruction to enable closer monitoring of plant health, as well as for yield mapping and yield forecasting. |
Controlled traffic
farming 
Automated online estimation of key parameters of the terrain that affect its ability to support vehicular traffic (e.g., soil compaction, friction, longitudinal and lateral grade, etc.). Such properties are collectively called “trafficability.” Measuring real-time terrain properties make it possible for a vehicle to adapt to the site-specific environment by varying its velocity and suspension system configuration or tire pressure and adjusting the parameters of onboard control and stability systems.
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Unmanned Arial Vehicle, UAV
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Keywords:
- Precision agriculture
- Field robotics
- Crop sensing
- Sensor fusion
- UAV
- Situation awareness
- Deep learning
- Decision support system (DSS)
