Augmenting Crop Detection for Precision Agriculture with Deep Visual Transfer Learning—A Case Study of Bale Detection

Augmenting Crop Detection for Precision Agriculture with Deep Visual Transfer Learning—A Case Study of Bale Detection

In recent years, precision agriculture has been researched to increase crop production with less inputs, as a promising means to meet the growing demand of agriculture products. Computer vision-based crop detection with unmanned aerial vehicle (UAV)-acquired images is a critical tool for precision a...

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Bibliographic Details
Main Authors:	Wei Zhao, William Yamada, Tianxin Li, Matthew Digman, Troy Runge
Format:	Article
Language:	English
Published:	MDPI AG 2020-12-01
Series:	Remote Sensing
Subjects:	domain adaptation computer vision illimitation change adverse weather conditions generative adversarial network (GAN)
Online Access:	https://www.mdpi.com/2072-4292/13/1/23

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