Yield Prediction for Winter Wheat with Machine Learning Models Using Sentinel-1, Topography, and Weather Data

Yield Prediction for Winter Wheat with Machine Learning Models Using Sentinel-1, Topography, and Weather Data

We train and compare the performance of two different machine learning algorithms to learn changes in winter wheat production for fields from the southwest of Sweden. As input to these algorithms, we use cloud-penetrating Sentinel-1 polarimetry radar data together with respective field topography an...

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Bibliographic Details
Main Authors: Oliver Persson Bogdanovski, Christoffer Svenningsson, Simon Månsson, Andreas Oxenstierna, Alexandros Sopasakis
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Agriculture
Subjects:
precision agriculture
Sentinel-1 SAR
machine learning
yield prediction
despeckling
Online Access:https://www.mdpi.com/2077-0472/13/4/813

Internet

https://www.mdpi.com/2077-0472/13/4/813

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