Field Rice Growth Monitoring and Fertilization Management Based on UAV Spectral and Deep Image Feature Fusion

Field Rice Growth Monitoring and Fertilization Management Based on UAV Spectral and Deep Image Feature Fusion

Rice, as a globally vital staple crop, requires efficient field monitoring to ensure optimal growth conditions. This study proposed a novel framework for classifying nutrient deficiencies and formulating fertilization strategies in field-grown rice by fusing UAV-derived vegetation indices (VIs) with...

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Bibliographic Details
Main Authors: Bingnan Chen, Qihe Su, Yansong Li, Rui Chen, Wanneng Yang, Chenglong Huang
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Agronomy
Subjects:
unmanned aerial vehicle
vegetation indices
deep learning and machine learning
feature fusion
fertilization management
Online Access:https://www.mdpi.com/2073-4395/15/4/886
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