Automated Bale Mapping Using Machine Learning and Photogrammetry

An automatic method of obtaining geographic coordinates of bales using monovision un-crewed aerial vehicle imagery was developed utilizing a data set of 300 images with a 20-megapixel resolution containing a total of 783 labeled bales of corn stover and soybean stubble. The relative performance of i...

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Bibliographic Details
Main Authors: William Yamada, Wei Zhao, Matthew Digman
Format: article
Language:EN
Published: MDPI AG 2021
Subjects:
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Online Access:https://doaj.org/article/25079bd64b26463a8e819fa61495f003
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