EdgeSugarcane: a lightweight high-precision method for real-time sugarcane node detection in edge computing environments
Accurate detection of sugarcane nodes in natural environments is crucial for realizing intelligent sugarcane cutting and precise planting localization. However, current sugarcane node detection models often face challenges such as large parameter sizes, poor adaptability to deployment environments,...
Saved in:
Main Authors: | Zhenhui Zheng, Lijiao Wei, Kangmin Lin, Weihua Huang, Shuo Wang, Dongjie Du, Tao Wu |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2025-07-01
|
Series: | Frontiers in Plant Science |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fpls.2025.1626725/full |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Slim-sugarcane: a lightweight and high-precision method for sugarcane node detection and edge deployment in natural environments
by: Lijiao Wei, et al.
Published: (2025-07-01) -
Structural optimization and performance evaluation of a sugarcane leaf mulching machine
by: Weihua Huang, et al.
Published: (2025-12-01) -
Sugarcane and its diseases /
by: Edgerton, Claude W.
Published: (1959) -
Sugarcane pests and their control /
by: Kalra, A. N.
Published: (1983) -
Edge-Optimized Lightweight YOLO for Real-Time SAR Object Detection
by: Caiguang Zhang, et al.
Published: (2025-06-01)