Aerial remote sensing in agriculture: A practical approach to area coverage and path planning for fleets of mini aerial robots
By Antonio Barrientos, Julián D. Colorado, Jaime del Cerro, Alexander Martinez, Claudio Rossi, David Sanz, João Valente. J. Field Robotics, 2011
306 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition, Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/8a2fcc2e3915c115ccaac63297ff48a4fd52ed73
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Aerospace Engineering
- M. Carreras
- James F. Campbell
- Enric Galceran
- Bruce L. Golden
- Niels A. H. Agatz
- Erwin Pesch
- Alena Otto
In Computer Vision and Pattern Recognition
In Control and Systems Engineering
Citations in the corpus
- A survey on coverage path planning for robotics (2013, background): “Targeting remote sensing in agriculture, [Barrientos et al., 2011] presented an approach to area coverage using fleets of mini aerial robots.”
- A Comprehensive Review of Coverage Path Planning in Robotics Using Classical and Heuristic Algorithms (2021, methodology): “[160] suggested a waveform planner based on the BFS technique”
- Optimization approaches for civil applications of unmanned aerial vehicles (UAVs) or aerial drones: A survey (2018, methodology): “1) [17] M, EmpCS, Exp several drones limited flight time, sensor with a limited footprint agriculture [20] H, Exp several drones sensor with a limited footprint, drones have heterogeneous area coverage (sensing) capability per unit of time other (environmental protection and disaster management) [22”
- Unmanned Aerial Vehicles in Agriculture: A Review of Perspective of Platform, Control, and Applications (2019, background): “Currently, various simulations and experiments using UAVs and unmanned ground vehicles (UGV) are in progress [14], [55], [62].”