Evaluation of YOLO Efficiency in Automatic Orange Detection in Multi-Exposure Images

Evaluation of YOLO Efficiency in Automatic Orange Detection in Multi-Exposure Images

Brazil is the largest producer of oranges in the world and the automatic detection of fruits has been a challenging task in the context of remote sensing, due to variations in fruit appearance, changes in lighting and occlusions of foliage and neighboring fruits. In this sense, this paper focus on t...

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Bibliographic Details
Main Authors: M. R. Oviedo Espinosa, L. R. Porto, V. S. W. Orlando, A. M. G. Tommaselli, A. P. Dal Poz, N. N. Imai
Format: Article
Language:English
Published: Copernicus Publications 2024-11-01
Series:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://isprs-annals.copernicus.org/articles/X-3-2024/303/2024/isprs-annals-X-3-2024-303-2024.pdf
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