Avo-AirDB: An avocado UAV Database for agricultural image segmentation and classification
Published: 30 September 2022| Version 2 | DOI: 10.17632/tvhh83r3hj.2
Contributors:
Khalid EL AMRAOUI, , , , , , Description
Avo-AirDB represents a database of an avocado field located in Morocco. it contains 986 high-resolution RGB aerial images, as well as 93 annotated images in two different ways. the data is dedicated to researchers in the digital agricultural domain. it can be used to develop machine learning algorithms.
Files
Steps to reproduce
This dataset was created using an RGB camera (FC6310 Camera with CMOS sensor) mounted on a DJI Phantom 4 Pro UAV. It was collected using the described UAV over a 113 Ha farm of Avocado fruit trees, the camera angle was adjusted to 90° vertically with the field. The speed and flight altitude were 9 m/s and 90 meters respectively, aiming to provide a clear view of the avocado trees. A 75% Longitudinal overlap was applied.
Institutions
Universite Mohammed V de Rabat Faculte des Sciences
Categories
Image Processing, Agricultural Engineering, Machine Learning, Database