Evaluation of Crop Health Status With UAS Multispectral Imagery

Evaluation of Crop Health Status With UAS Multispectral Imagery

This study presents the results of a field experiment conducted for assessing the crop health status of several barley and oat crop fields in Prince Edward Island, Canada. The crop fields were mapped with an unmanned aircraft system (UAS), and the crop health status was assessed through the green ar...

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Bibliographic Details
Main Authors:	Odysseas Vlachopoulos, Brigitte Leblon, Jinfei Wang, Ataollah Haddadi, Armand LaRocque, Greg Patterson
Format:	Article
Language:	English
Published:	IEEE 2022-01-01
Series:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:	Crop green area index (GAI) leaf area index (LAI) machine learning multispectral precision agriculture
Online Access:	https://ieeexplore.ieee.org/document/9633165/

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