crossrefAgronomy2026-02-05Cited by 1
A Standardized Framework for Cleaning Non-Normal Yield Data from Wheat and Barley Crops, and Validation Using Machine Learning Models for Satellite Imagery
Patricia Arizo-García, Sergio Castiñeira-Ibáñez, Enric Cruzado-Campos, Beatriz Ricarte, Constanza Rubio, Alberto San Bautista
Modern combine harvesters can collect real-time geolocated yield data, but it is subject to errors. Various protocols have been proposed to clean this data, each with varying levels of complexity. This data is valuable for precision agriculture to implement site-specific manageme…