Machine Learning-Based Alfalfa Height Estimation Using Sentinel-2 Multispectral Imagery

Machine Learning-Based Alfalfa Height Estimation Using Sentinel-2 Multispectral Imagery

Climate change is threatening the sustainability of crop yields due to an increasing frequency of extreme weather conditions, requiring timely agricultural monitoring. Remote sensing facilitates consistent and continuous monitoring of field crops. This study aimed to estimate alfalfa crop height thr...

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Bibliographic Details
Main Authors: Hazhir Bahrami, Karem Chokmani, Saeid Homayouni, Viacheslav I. Adamchuk, Rami Albasha, Md Saifuzzaman, Maxime Leduc
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Remote Sensing
Subjects:
alfalfa
crop height
machine learning
Google Earth Engine
remote sensing
Sentinel-2
Online Access:https://www.mdpi.com/2072-4292/17/10/1759
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