DeepCorn: A semi-supervised deep learning method for high-throughput image-based corn kernel counting and yield estimation
Published 2021 View Full Article
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Title
DeepCorn: A semi-supervised deep learning method for high-throughput image-based corn kernel counting and yield estimation
Authors
Keywords
Corn kernel counting, Convolutional neural network, Semi-supervised learning, Deep learning, Yield estimation
Journal
KNOWLEDGE-BASED SYSTEMS
Volume 218, Issue -, Pages 106874
Publisher
Elsevier BV
Online
2021-02-21
DOI
10.1016/j.knosys.2021.106874
References
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- Population dynamics and climate change: what are the links?
- (2010) J. Stephenson et al. JOURNAL OF PUBLIC HEALTH
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