Recursive feature elimination for summer wheat leaf area index using ensemble algorithm-based modeling: The case of central Highland of Ethiopia

Recursive feature elimination for summer wheat leaf area index using ensemble algorithm-based modeling: The case of central Highland of Ethiopia

Accurate and nondestructive monitoring of the wheat leaf area index (LAI) is important for effective agricultural management and production forecasting. However, building a high-performance predictive model faces challenges in selecting suitable machine learning algorithms and identifying important...

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Bibliographic Details
Main Authors: Dereje Biru, Berhan Gessesse, Gebeyehu Abebe
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Environmental Challenges
Subjects:
LAI
Wheat
Sentinel-1/2
Recursive feature elimination
Machine learning algorithms
Google Earth Engine
Online Access:http://www.sciencedirect.com/science/article/pii/S2667010025000332
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