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Weston Roundtable Lecture: Alfalfa Yield Prediction Using UAV-Based Hyperspectral Imagery and Ensemble Learning


At a Glance

Thursday, February 25
4:15 PM - 5:15 PM
Speaker: Zhou Zhang , Assistant Professor, Biological Systems Engineering, University of Wisconsin–Madison

Virtual

Lecture/Seminar/Talk


CONTACT:
Erin Smith

Alfalfa is a valuable and intensively produced forage crop in the United States, and timely estimation of its yield can inform management decisions. However, traditional yield assessment approaches are laborious and time-consuming. Recently, unmanned aerial vehicles (UAVs) have gained attention due to their efficient data acquisition. In addition, compared with other imaging modalities, hyperspectral data can offer higher spectral fidelity for constructing narrow-band vegetation indices for yield modeling. In this study, we performed an in-season alfalfa yield prediction using UAV-based hyperspectral images.

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