OliveTreeCrownsDb: A high-resolution UAV dataset for detection and segmentation in agricultural computer vision
This article introduces OliveTreeCrownsDb, a comprehensive dataset of high-resolution images captured by a DJI Phantom 4 RTK drone. The dataset includes 46 images covering an entire olive farm, focusing on the detection and analysis of olive tree crowns and supporting segmentation tasks. Each image is accompanied by detailed metadata, such as focal distance, capture altitude, GPS coordinates, and other essential parameters for accurate tree mapping and localization. OliveTreeCrownsDb is publicly accessible, promoting research in precision agriculture, including tree crown detection, segmentation, geometric shape analysis, automation, yield estimation, and computer vision applications. It facilitates the development of innovative algorithms to optimize resource allocation and improve crop management. By enabling studies on tree crown analysis and farm monitoring, OliveTreeCrownsDb advances agricultural technologies and enhances management practices in olive cultivation.
Authors
- Hamid Tairi (ORCID: https://orcid.org/0000-0002-5445-0037)
- Mohamed Adnane Mahraz (ORCID: https://orcid.org/0000-0002-0966-9654)
- Ali Yahyaouy (ORCID: https://orcid.org/0000-0003-1954-2734)
- Jamal Riffi (ORCID: https://orcid.org/0000-0003-4697-8533)
- Ali Achebour
- Youness Hnida (ORCID: https://orcid.org/0009-0004-4623-2074)
Institutions
- Mohamed I University (MA)
- Maison des Sciences sociales et des Humanités Ange Guépin (FR)
- Globe University (US)
- Sidi Mohamed Ben Abdellah University (MA)
Publication Details
- Journal
- Data in Brief
- Published
- 2025-03-22
- DOI
- https://doi.org/10.1016/j.dib.2025.111515
- Citations
- 6
- Primary Topic
- Smart Agriculture and AI
- Type
- article
- Field-Weighted Citation Impact
- 10.50