Building an Aerial-Ground Robotics System for Precision Farming: An Adaptable Solution
Alberto Pretto, St\'ephanie Aravecchia, Wolfram Burgard, Nived, Chebrolu, Christian Dornhege, Tillmann Falck, Freya Fleckenstein, Alessandra, Fontenla, Marco Imperoli, Raghav Khanna, Frank Liebisch, Philipp Lottes,, Andres Milioto, Daniele Nardi, Sandro Nardi, Johannes Pfeifer

TL;DR
This paper describes the development of an adaptable aerial-ground robotic system for precision farming, integrating UAVs and UGVs for crop monitoring and targeted interventions to improve agricultural efficiency and sustainability.
Contribution
It introduces novel multi-spectral perception algorithms, navigation, and collaborative mapping systems tailored for agricultural robots, enabling autonomous crop monitoring and intervention.
Findings
Successful implementation of UAV-UGV collaboration in field conditions
Effective crop and weed classification and localization algorithms
Demonstrated autonomous selective spraying in real-world scenarios
Abstract
The application of autonomous robots in agriculture is gaining increasing popularity thanks to the high impact it may have on food security, sustainability, resource use efficiency, reduction of chemical treatments, and the optimization of human effort and yield. With this vision, the Flourish research project aimed to develop an adaptable robotic solution for precision farming that combines the aerial survey capabilities of small autonomous unmanned aerial vehicles (UAVs) with targeted intervention performed by multi-purpose unmanned ground vehicles (UGVs). This paper presents an overview of the scientific and technological advances and outcomes obtained in the project. We introduce multi-spectral perception algorithms and aerial and ground-based systems developed for monitoring crop density, weed pressure, crop nitrogen nutrition status, and to accurately classify and locate weeds. We…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
