Mapping Wheat Dry Matter and Nitrogen Content Dynamics and Estimation of Wheat Yield Using UAV Multispectral Imagery Machine Learning and a Variety-Based Approach: Case Study of Morocco

Mapping Wheat Dry Matter and Nitrogen Content Dynamics and Estimation of Wheat Yield Using UAV Multispectral Imagery Machine Learning and a Variety-Based Approach: Case Study of Morocco

Our work aims to monitor wheat crop using a variety-based approach by taking into consideration four different phenological stages of wheat crop development. In addition to highlighting the contribution of Red-Edge vegetation indices in mapping wheat dry matter and nitrogen content dynamics, as well...

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Bibliographic Details
Main Authors: Ghizlane Astaoui, Jamal Eddine Dadaiss, Imane Sebari, Samir Benmansour, Ettarid Mohamed
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:AgriEngineering
Subjects:
wheat yield
unmanned aerial vehicle (UAV)
multispectral imagery
RTVI
regression, random forest
NNI
Online Access:https://www.mdpi.com/2624-7402/3/1/3

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