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End-to-end deep learning for directly estimating grape yield from ground-based imagery.
Alexander G. Olenskyj
Brent S. Sams
Zhenghao Fei
Vishal Singh
Pranav V. Raja
Gail M. Bornhorst
J. Mason Earles
Published in:
Comput. Electron. Agric. (2022)
Keyphrases
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end to end
deep learning
unsupervised feature learning
unsupervised learning
congestion control
admission control
machine learning
high resolution
image processing
deep architectures
application layer
mental models
image data
video coding
learning strategies
co occurrence
active learning