Forecasting yield and market classes of Vidalia sweet onions: A UAV-based multispectral and texture data-driven approach

Forecasting yield and market classes of Vidalia sweet onions: A UAV-based multispectral and texture data-driven approach

Vidalia sweet onion is a high-value specialty crop in the U.S. Forecasting its yield and market classes allows the stakeholders to make informed decisions about the best time and place to harvest while understanding field spatial variability. Yield stands as an important quantitative parameter, and...

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Bibliographic Details
Main Authors: Marcelo Rodrigues Barbosa Júnior, Lucas de Azevedo Sales, Regimar Garcia dos Santos, Rônega Boa Sorte Vargas, Chris Tyson, Luan Pereira de Oliveira
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Smart Agricultural Technology
Subjects:
Machine learning
Precision horticulture
Spectral data
Texture data
Yield prediction
Online Access:http://www.sciencedirect.com/science/article/pii/S2772375525000425
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