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VARENN: Graphical representation of spatiotemporal data and application to climate studies
Herein, we employ VARENN (visually augmented representation of environment for neural networks) to efficiently summarize monthly observations of climate data for 1901-2016 into 2-dimensional graphical images.
Automatic classification of trees using a UAV onboard camera and deep learning
In this study, using a commercially available UAV and a publicly available package for deep learning, we constructed a machine vision system for the automatic classification of trees.
Identifying 3 moss species by deep learning, using the "chopped picture" method
In general, object identification tends not to work well on ambiguous, amorphous objects such as vegetation.
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