A novel approach integrating multispectral imaging and machine learning to identify seed maturity and vigor in smooth bromegrass

A novel approach integrating multispectral imaging and machine learning to identify seed maturity and vigor in smooth bromegrass

Abstract Smooth bromegrass (Bromus inermis) was adopted as experiment materials for identifying the seed maturity using a combination of multispectral imaging and machine learning. The trials were conducted to investigate the effects of three nitrogen application levels (0, 100 and 200 kg N ha− 1, d...

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Bibliographic Details
Main Authors: Chengming Ou, Zhicheng Jia, Shiqiang Zhao, Shoujiang Sun, Ming Sun, Jingyu Liu, Manli Li, Shangang Jia, Peisheng Mao
Format: Article
Language:English
Published: BMC 2025-03-01
Series:Plant Methods
Subjects:
Smooth bromegrass
Nitrogen
Seed maturity
Multispectral imaging
Stacking ensemble
Online Access:https://doi.org/10.1186/s13007-025-01359-8
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https://doi.org/10.1186/s13007-025-01359-8

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