Prediction of the Nitrogen, Phosphorus and Potassium Contents in Grape Leaves at Different Growth Stages Based on UAV Multispectral Remote Sensing

Prediction of the Nitrogen, Phosphorus and Potassium Contents in Grape Leaves at Different Growth Stages Based on UAV Multispectral Remote Sensing

The rapid and accurate acquisition of nitrogen, phosphorus and potassium nutrient contents in grape leaves is critical for improving grape yields and quality and for industrial development. In this study, crop growth was non-destructively monitored based on unmanned aerial vehicle (UAV) remote sensi...

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Bibliographic Details
Main Authors: Xuelian Peng, Dianyu Chen, Zhenjiang Zhou, Zhitao Zhang, Can Xu, Qing Zha, Fang Wang, Xiaotao Hu
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Remote Sensing
Subjects:
unmanned aerial vehicle
multispectral imagery
leaf nutrient contents
machine learning
grape
Online Access:https://www.mdpi.com/2072-4292/14/11/2659

Internet

https://www.mdpi.com/2072-4292/14/11/2659

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