Using UAV-based multispectral images and CGS-YOLO algorithm to distinguish maize seeding from weed

Using UAV-based multispectral images and CGS-YOLO algorithm to distinguish maize seeding from weed

Accurate recognition of maize seedlings on the plot scale under the disturbance of weeds is crucial for early seedling replenishment and weed removal. Currently, UAV-based maize seedling recognition depends primarily on RGB images. The main purpose of this study is to compare the performances of mul...

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Bibliographic Details
Main Authors: Boyi Tang, Jingping Zhou, Chunjiang Zhao, Yuchun Pan, Yao Lu, Chang Liu, Kai Ma, Xuguang Sun, Ruifang Zhang, Xiaohe Gu
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2025-06-01
Series:Artificial Intelligence in Agriculture
Subjects:
Object detection
Maize seedlings
Weed disturbance
YOLO
UAV multispectral images
Online Access:http://www.sciencedirect.com/science/article/pii/S2589721725000261
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