Monitoring and Prediction of Wild Blueberry Phenology Using a Multispectral Sensor

Monitoring and Prediction of Wild Blueberry Phenology Using a Multispectral Sensor

(1) Background: Research and development in remote sensing have been used to determine and monitor crop phenology. This approach assesses the internal and external changes of the plant. Therefore, the objective of this study was to determine the potential of using a multispectral sensor to predict p...

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Bibliographic Details
Main Authors: Kenneth Anku, David Percival, Mathew Vankoughnett, Rajasekaran Lada, Brandon Heung
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Remote Sensing
Subjects:
unmanned aerial vehicle
vegetative indices
machine learning
remote sensing
<i>Vaccinium angustifolium</i>
leaf area index
Online Access:https://www.mdpi.com/2072-4292/17/2/334
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