AGR-o-RAMA project aims at the study of autonomous intelligent drones capable of actively monitoring a field in order to identify and map features of interests (e.g., weed or pests) that could be distributed heterogeneously within the field.
Moving beyond the classical approach of a uniform coverage of the field with predetermined mission plans for remote sensing, AGR-o-RAMA proposes to adaptively define the sampling frequency and resolution in order to focus on the areas of interest, while mildly monitoring areas that are devoid of relevant features.
Active monitoring strategies will be developed and tested both with a single drone and with groups of drones. In the latter case, the drones will coordinate to explore the field in parallel and collaborate to identify the areas of interest, maximising both efficiency and accuracy.
Generation of multi-resolution maps: we aim at integrating in a single navigable map images with different resolution possibly obtained from different points of view.
Deployment of decentralised control for active monitoring: we aim at developing the control system for individual and groups of drones for active monitoring.
Demonstration in the field and in simulation: we aim at showcasing the proposed approach both with real drones and photorealistic simulations in agricultural settings.
AGR-o-RAMA project is a collaborative project funded under the
POR FESR 2014-2020 Programme of the Lazio region.
It involves the following institutions: