Sweet Potato Yield Prediction Using Machine Learning Based on Multispectral Images Acquired from a Small Unmanned Aerial Vehicle

Sweet Potato Yield Prediction Using Machine Learning Based on Multispectral Images Acquired from a Small Unmanned Aerial Vehicle

Accurate prediction of sweet potato yield is crucial for effective crop management. This study investigates the use of vegetation indices (VIs) extracted from multispectral images acquired by a small unmanned aerial vehicle (UAV) throughout the growing season, along with in situ-measured plant physi...

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Bibliographic Details
Main Authors: Kriti Singh, Yanbo Huang, Wyatt Young, Lorin Harvey, Mark Hall, Xin Zhang, Edgar Lobaton, Johnie Jenkins, Mark Shankle
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Agriculture
Subjects:
sweet potato
yield
remote sensing
unmanned aerial vehicle
machine learning
Online Access:https://www.mdpi.com/2077-0472/15/4/420
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