Research on detection of wheat tillers in natural environment based on YOLOv8-MRF

Research on detection of wheat tillers in natural environment based on YOLOv8-MRF

To bolster agricultural efficiency and precision, this study introduces the YOLOv8-MRF model (multi-path coordinate attention, receptive field attention convolution, and Focaler-CIoU-optimized YOLOv8), a groundbreaking advancement in automated detection of wheat tillers. This model transcends tradit...

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Bibliographic Details
Main Authors: Min Liang, Yuchen Zhang, Jian Zhou, Fengcheng Shi, Zhiqiang Wang, Yu Lin, Liang Zhang, Yaxi Liu
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Smart Agricultural Technology
Subjects:
Detection of wheat tillers
YOLOv8
MPCA
RFCAConv
Focaler-CIoU
Online Access:http://www.sciencedirect.com/science/article/pii/S2772375524003241
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