Assessment of Regression Models for Predicting Rice Yield and Protein Content Using Unmanned Aerial Vehicle-Based Multispectral Imagery

Assessment of Regression Models for Predicting Rice Yield and Protein Content Using Unmanned Aerial Vehicle-Based Multispectral Imagery

Unmanned aerial vehicle-based multispectral imagery including five spectral bands (blue, green, red, red-edge, and near-infrared) for a rice field in the ripening stage was used to develop regression models for predicting the rice yield and protein content and to select the most suitable regression...

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Bibliographic Details
Main Authors: Yeseong Kang, Jinwoo Nam, Younggwang Kim, Seongtae Lee, Deokgyeong Seong, Sihyeong Jang, Chanseok Ryu
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Remote Sensing
Subjects:
multispectral imagery
mutual prediction
regression model
rice-protein content
rice yield
Online Access:https://www.mdpi.com/2072-4292/13/8/1508

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