CoFly

The main aim of CoFly project is to develop an operational framework for micro air vehicles (MAVs) that would be affordable and widely distributed in the marketplace. In addition, the main objective is to provide the entrepreneurs the ability to complete high precision manual labour operations with lesser cost and time-consuming way, meaning without the need of a MAV operator expert. Although a large variety of affordable MAV platforms is available, their majority offer limited control functionalities. Moreover, a wide spectrum of navigational sensors and computing systems, capable to be attached on a MAV, is also available. Thus, a MAV platform with advanced functionalities comprises the ultimate objective of the project, including an interactive navigation system as well as conceptual and autonomous decision-making abilities. The final product will increase business opportunities by removing technological barriers to the widespread use of MAVs platforms specifically in agricultural monitoring and precision agriculture tasks.

PUBLICATIONS

  1. M. Krestenitis, E. Raptis, A. Kapoutsis, K. Ioannidis, E. Kosmatopoulos, S. Vrochidis, "Overcome the Fear Of Missing Out: Active sensing UAV scanning for precision agriculture", Robotics and Autonomous Systems, Vol. 172, February 2024, 104581, ISSN 0921-8890, https://doi.org/10.1016/j.robot.2023.104581.
  2. E. Raptis, K. Englezos O. Kypris, Marios Krestenitis, A. Kapoutsis, K. Ioannidis, S. Vrochidis and E. Kosmatopoulos, "CoFly: An automated, AI-based open-source platform for UAV precision agriculture applications", SoftwareX, 2023
  3. Emmanuel K. Raptis, Marios Krestenitis, Konstantinos Egglezos, Orfeas Kypris, Konstantinos Ioannidis, Lefteris Doitsidis, Athanasios Ch. Kapoutsis, Stefanos Vrochidis, Ioannis Kompatsiaris, Elias B. Kosmatopoulos, "End-to-end precision agriculture UAV-based functionalities tailored to field characteristics", Journal of Intelligent & Robotic Systems, 2022
  4. E. K. Raptis, G. D. Karatzinis, M. Krestenitis, A. Ch. Kapoutsis, K. Ioannidis, S. Vrochidis, I. Kompatsiaris and E. B. Kosmatopoulos, “Multimodal Data Collection System for UAV-based Precision Agriculture Applications”, Sixth IEEE International Conference on Robotic Computing (IRC), Italy, 5-7 December, 2022, pp. 1-7.
  5. Marios Krestenitis , Emmanuel K. Raptis , Athanasios Ch. Kapoutsis ,Konstantinos Ioannidis , Elias B. Kosmatopoulos , Stefanos Vrochidis , Ioannis Kompatsiaris , "CoFly-WeedDB: A UAV image dataset for weed detection and species identification", Data in Brief, December 2022, DOI:https://doi.org/10.1016/j.dib.2022.108575 OPEN ACCESS