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.

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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
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article

OliveTreeCrownsDb: A high-resolution UAV dataset for detection and segmentation in agricultural computer vision

Hamid Tairi, Mohamed Adnane Mahraz, Ali Yahyaouy, Jamal Riffi et al.
6 citations
Data in Brief
Smart Agriculture and AI
10.50
article

OliveTreeCrownsDb: A high-resolution UAV dataset for detection and segmentation in agricultural computer vision

Hamid Tairi, Mohamed Adnane Mahraz, Ali Yahyaouy, Jamal Riffi, Ali Achebour, Youness Hnida
article en
6 citations

Abstract

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.

Data in BriefVol. 60
Mohamed I University (MA), Maison des Sciences sociales et des Humanités Ange Guépin (FR), Globe University (US), Sidi Mohamed Ben Abdellah University (MA)
Zero hunger
Openalex Percentile: Top 2%
Smart Agriculture and AI
10.50
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