Evaluation of different spectral indices for wheat lodging assessment using machine learning algorithms

Evaluation of different spectral indices for wheat lodging assessment using machine learning algorithms

Abstract Wheat lodging is a recurrent phenomenon that significantly affects grain yield and impedes the harvesting efficiency. Therefore, the precise and rapid assessment of wheat lodging is crucial in minimizing its impact on grain yield and quality. Recently few studies related to machine learning...

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Bibliographic Details
Main Authors: Shikha Sharda, Sumit Kumar, Raj Setia, Prince Dhiman, N. R. Patel, Brijendra Pateriya, Ali Salem, Ahmed Elbeltagi
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Lodging
Machine learning
Sentinel-2
Wheat
Online Access:https://doi.org/10.1038/s41598-025-09109-5
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https://doi.org/10.1038/s41598-025-09109-5

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