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

Autor: M. R. Oviedo Espinosa, L. R. Porto, V. S. W. Orlando, A. M. G. Tommaselli, A. P. Dal Poz, N. N. Imai

Publikováno v: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol X-3-2024, Pp 303-308 (2024)

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 neighb

Externí odkaz: https://doaj.org/article/577388c2929e44c9a5f75acc76a5b1c3