Improved Accuracy of Phenological Detection in Rice Breeding by Using Ensemble Models of Machine Learning Based on UAV-RGB Imagery

Improved Accuracy of Phenological Detection in Rice Breeding by Using Ensemble Models of Machine Learning Based on UAV-RGB Imagery

Accurate and timely detection of phenology at plot scale in rice breeding trails is crucial for understanding the heterogeneity of varieties and guiding field management. Traditionally, remote sensing studies of phenology detection have heavily relied on the time-series vegetation index (VI) data. H...

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Bibliographic Details
Main Authors: Haixiao Ge, Fei Ma, Zhenwang Li, Zhengzheng Tan, Changwen Du
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Remote Sensing
Subjects:
UAV
machine learning
ensemble models
phenology
breeding
Online Access:https://www.mdpi.com/2072-4292/13/14/2678

Internet

https://www.mdpi.com/2072-4292/13/14/2678

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