DM_CorrMatch: a semi-supervised semantic segmentation framework for rapeseed flower coverage estimation using UAV imagery

DM_CorrMatch: a semi-supervised semantic segmentation framework for rapeseed flower coverage estimation using UAV imagery

Abstract Rapeseed (Brassica napus L.) inflorescence coverage is a crucial phenotypic parameter for assessing crop growth and estimating yield. Accurate crop cover assessment is typically performed using Unmanned Aerial Vehicles (UAVs) in combination with semantic segmentation methods. However, the i...

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Bibliographic Details
Main Authors: Jie Li, Chengyong Zhu, Chenbo Yang, Quan Zheng, Binhui Wang, Jingmin Tu, Qian Zhang, Sheng Liu, Xinfa Wang, Jiangwei Qiao
Format: Article
Language:English
Published: BMC 2025-04-01
Series:Plant Methods
Subjects:
Semi-supervised semantic segmentation
Rapeseed
Diffusion model
Vision mamba
Online Access:https://doi.org/10.1186/s13007-025-01373-w
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https://doi.org/10.1186/s13007-025-01373-w

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