SwinLabNet: Jujube Orchard Drivable Area Segmentation Based on Lightweight CNN-Transformer Architecture

SwinLabNet: Jujube Orchard Drivable Area Segmentation Based on Lightweight CNN-Transformer Architecture

Identifying drivable areas between orchard rows is crucial for intelligent agricultural equipment. However, challenges remain in this field’s accuracy, real-time performance, and generalization of deep learning models. This study proposed the SwinLabNet model in the context of jujube orchards, an in...

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Bibliographic Details
Main Authors: Mingxia Liang, Longpeng Ding, Jiangchun Chen, Liming Xu, Xinjie Wang, Jingbin Li, Hongfei Yang
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Agriculture
Subjects:
drivable area identification
SwinLabNet network model
jujube orchard environment
agricultural Intelligence
Online Access:https://www.mdpi.com/2077-0472/14/10/1760
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