CoFly: An automated, AI-based open-source platform for UAV precision agriculture applications
This paper presents a modular and holistic Precision Agriculture platform, named CoFly, incorporating custom-developed AI and ICT technologies with pioneering functionalities in a UAV-agnostic system. Cognitional operations of micro Flying vehicles are utilized for data acquisition incorporating adv...
Main Authors: | Emmanuel K. Raptis, Konstantinos Englezos, Orfeas Kypris, Marios Krestenitis, Athanasios Ch. Kapoutsis, Konstantinos Ioannidis, Stefanos Vrochidis, Elias B. Kosmatopoulos |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2023-07-01
|
Series: | SoftwareX |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352711023001103 |
Similar Items
-
CoFly-WeedDB: A UAV image dataset for weed detection and species identification
by: Marios Krestenitis, et al.
Published: (2022-12-01) -
A Comprehensive Review of Deep Learning-Based Anomaly Detection Methods for Precision Agriculture
by: Konstantinos Gkountakos, et al.
Published: (2024-01-01) -
Systematically Improving the Efficiency of Grid-Based Coverage Path Planning Methodologies in Real-World UAVs’ Operations
by: Savvas D. Apostolidis, et al.
Published: (2023-06-01) -
Towards the Development of a Smart Flying Sensor: Illustration in the Field of Precision Agriculture
by: Andres Hernandez, et al.
Published: (2015-07-01) -
A New Method for UAV Lidar Precision Testing Used for the Evaluation of an Affordable DJI ZENMUSE L1 Scanner
by: Martin Štroner, et al.
Published: (2021-11-01)