A weakly supervised framework for high-resolution crop yield forecasts

A weakly supervised framework for high-resolution crop yield forecasts

Predictor inputs and labels (e.g. yield data) for crop yield forecasting are not always available at the same spatial resolution. Common statistical and machine learning methods require inputs and labels at the same resolution. Therefore, they cannot produce high resolution (HR) yield forecasts in t...

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Bibliographic Details
Main Authors: Dilli Paudel, Diego Marcos, Allard de Wit, Hendrik Boogaard, Ioannis N Athanasiadis
Format: Article
Language:English
Published: IOP Publishing 2023-01-01
Series:Environmental Research Letters
Subjects:
crop yield
deep learning
weak supervision
disaggregation
spatial variability
Online Access:https://doi.org/10.1088/1748-9326/acf50e

Internet

https://doi.org/10.1088/1748-9326/acf50e

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