URT-YOLOv11: A Large Receptive Field Algorithm for Detecting Tomato Ripening Under Different Field Conditions

This study proposes an improved YOLOv11 model to address the limitations of traditional tomato recognition algorithms in complex agricultural environments, such as lighting changes, occlusion, scale variations, and complex backgrounds. These factors often hinder accurate feature extraction, leading...

Descrición completa

Detalles Bibliográficos

Principais autores:	Di Mu, Yuping Guou, Wei Wang, Ran Peng, Chunjie Guo, Francesco Marinello, Yingjie Xie, Qiang Huang
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2025-05-01
Series:	Agriculture
Assuntos:	maturity grading complex environment object detection tomato
Acceso en liña:	https://www.mdpi.com/2077-0472/15/10/1060
Tags:	Engadir etiqueta Sen Etiquetas, Sexa o primeiro en etiquetar este rexistro!