Prediction of Seedling Oilseed Rape Crop Phenotype by Drone-Derived Multimodal Data

Prediction of Seedling Oilseed Rape Crop Phenotype by Drone-Derived Multimodal Data

In recent years, unmanned aerial vehicle (UAV) remote sensing systems have advanced rapidly, enabling the effective assessment of crop growth through the processing and integration of multimodal data from diverse sensors mounted on UAVs. UAV-derived multimodal data encompass both multi-source remote...

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Bibliographic Details
Main Authors: Yang Yang, Xinbei Wei, Jiang Wang, Guangsheng Zhou, Jian Wang, Zitong Jiang, Jie Zhao, Yilin Ren
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Remote Sensing
Subjects:
machine learning
multi-source data fusion
nitrogen
oilseed rape
unmanned aerial vehicle (UAV)
Online Access:https://www.mdpi.com/2072-4292/15/16/3951

Internet

https://www.mdpi.com/2072-4292/15/16/3951

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