H 01239811
Detecting occluded Y-shaped fruit tree segments using automated iterative training with minimal labeling effort
L
GRANLAND (K), NEWBURY (R), CHEN (Z), TING (D), CHEN (C)
COMPUTERS AND ELECTRONICS IN AGRICULTURE
2022
194
Artivle 106747 13 p.
10.1016/j.compag.2022.106747
biblio., graph., photo., anglais
"This paper describes an iterative training methodology for semantic segmentation, Automating-the-Loop. This aims to replicate the manual adjustments of the human-in-the-loop method with an automated process, hence, drastically reducing labeling effort."
https://www.sciencedirect.com/science/article/pii/S0168169922000643
mécanisation de la culture, architecture de l'arbre, branche, forme de l'arbre
ROBOTIQUE, VISION ARTIFICIELLE, AGRICULTURE DE PRECISION
08/02/2022