A novel neural network model to achieve generality for diverse morphologies and crop science interpretability in rice biomass estimation (English)
- New search for: Yamaguchi, Tomoaki
- New search for: Katsura, Keisuke
- New search for: Yamaguchi, Tomoaki
- New search for: Katsura, Keisuke
In:
Computers and Electronics in Agriculture
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218
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2024
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ISSN:
- Article (Journal) / Electronic Resource
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Title:A novel neural network model to achieve generality for diverse morphologies and crop science interpretability in rice biomass estimation
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Contributors:Yamaguchi, Tomoaki ( author ) / Katsura, Keisuke ( author )
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Published in:
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Publisher:
- New search for: The Authors
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Publication date:2024-01-17
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ISSN:
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DOI:
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Type of media:Article (Journal)
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Source:
Table of contents – Volume 218
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
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Upgrading swin-B transformer-based model for accurately identifying ripe strawberries by coupling task-aligned one-stage object detection mechanismLiu, Huan / Wang, Xiaoxuan / Zhao, Feiyu / Yu, Feiyang / Lin, Ping / Gan, Yang / Ren, Xuefeng / Chen, Yongming / Tu, Jian et al. | 2024
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