Canopy-Level Rice Yield and Yield Component Estimation Using NIR-Based Vegetation Indices

Canopy-Level Rice Yield and Yield Component Estimation Using NIR-Based Vegetation Indices

Accurately predicting rice yield and its components is crucial for optimizing agricultural practices and ensuring food security. Traditional methods of assessing crop status wwcan be time-consuming and labor-intensive. This study investigated the use of drone-based multispectral imagery and machine...

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Bibliographic Details
Main Authors: Hyeok-Jin Bak, Eun-Ji Kim, Ji-Hyeon Lee, Sungyul Chang, Dongwon Kwon, Woo-Jin Im, Do-Hyun Kim, In-Ha Lee, Min-Ji Lee, Woon-Ha Hwang, Nam-Jin Chung, Wan-Gyu Sang
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Agriculture
Subjects:
UAV
vegetation indices
crop monitoring
rice
remote sensing
yield estimation
Online Access:https://www.mdpi.com/2077-0472/15/6/594
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