Corn Grain Yield Prediction Using UAV-Based High Spatiotemporal Resolution Imagery, Machine Learning, and Spatial Cross-Validation

Corn Grain Yield Prediction Using UAV-Based High Spatiotemporal Resolution Imagery, Machine Learning, and Spatial Cross-Validation

Food demand is expected to rise significantly by 2050 due to the increase in population; additionally, receding water levels, climate change, and a decrease in the amount of available arable land will threaten food production. To address these challenges and increase food security, input cost reduct...

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Bibliographic Details
Main Authors: Patrick Killeen, Iluju Kiringa, Tet Yeap, Paula Branco
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Remote Sensing
Subjects:
precision agriculture
remote sensing
unmanned aerial vehicle
multispectral imagery
machine learning
yield prediction
Online Access:https://www.mdpi.com/2072-4292/16/4/683

Internet

https://www.mdpi.com/2072-4292/16/4/683

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