Arizo-GarcÃa, P.; Castiñeira-Ibáñez, S.; Cruzado-Campos, E.; Ricarte, B.; Rubio, C.; San Bautista, A.
A Standardized Framework for Cleaning Non-Normal Yield Data from Wheat and Barley Crops, and Validation Using Machine Learning Models for Satellite Imagery. Agronomy 2026, 16, 386.
https://doi.org/10.3390/agronomy16030386
AMA Style
Arizo-GarcÃa P, Castiñeira-Ibáñez S, Cruzado-Campos E, Ricarte B, Rubio C, San Bautista A.
A Standardized Framework for Cleaning Non-Normal Yield Data from Wheat and Barley Crops, and Validation Using Machine Learning Models for Satellite Imagery. Agronomy. 2026; 16(3):386.
https://doi.org/10.3390/agronomy16030386
Chicago/Turabian Style
Arizo-GarcÃa, Patricia, Sergio Castiñeira-Ibáñez, Enric Cruzado-Campos, Beatriz Ricarte, Constanza Rubio, and Alberto San Bautista.
2026. "A Standardized Framework for Cleaning Non-Normal Yield Data from Wheat and Barley Crops, and Validation Using Machine Learning Models for Satellite Imagery" Agronomy 16, no. 3: 386.
https://doi.org/10.3390/agronomy16030386
APA Style
Arizo-GarcÃa, P., Castiñeira-Ibáñez, S., Cruzado-Campos, E., Ricarte, B., Rubio, C., & San Bautista, A.
(2026). A Standardized Framework for Cleaning Non-Normal Yield Data from Wheat and Barley Crops, and Validation Using Machine Learning Models for Satellite Imagery. Agronomy, 16(3), 386.
https://doi.org/10.3390/agronomy16030386
