StomataScorer: a portable and high‐throughput leaf stomata trait scorer combined with deep learning and an improved CV model-Reference-Cited by-同舟云学术

StomataScorer: a portable and high‐throughput leaf stomata trait scorer combined with deep learning and an improved CV model

Published:2021-11-12 Issue: Volume: Page:
ISSN:1467-7644
Container-title:Plant Biotechnology Journal
language:en
Short-container-title:Plant Biotechnol J

Author:

Liang Xiuying¹,Xu Xichen¹,Wang Zhiwei¹,He Lei¹,Zhang Kaiqi¹,Liang Bo¹,Ye Junli¹,Shi Jiawei¹,Wu Xi¹,Dai Mingqiu¹,Yang Wanneng¹²^ORCID

Affiliation:

1. National Key Laboratory of Crop Genetic Improvement National Center of Plant Gene Research (Wuhan) College of Engineering Huazhong Agricultural University Wuhan China

2. Shenzhen Branch Guangdong Laboratory for Lingnan Modern Agriculture Genome Analysis Laboratory of the Ministry of Agriculture Agricultural Genomics Institute at Shenzhen Chinese Academy of Agricultural Sciences Shenzhen China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Plant Science,Agronomy and Crop Science,Biotechnology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/pbi.13741

Reference44 articles.

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3. Impact of Stomatal Density and Morphology on Water-Use Efficiency in a Changing World

4. 2018 S. Bhugra D. Mishra A. Anupama S. Chaudhury B. Lall A. Chugh Automatic Quantification of Stomata for High‐Throughput Plant Phenotyping[C]

5. Bhugra S. Mishra D. Anupama A. Chaudhury S.andChinnusamy V.(2019)Deep convolutional neural networks based framework for estimation of stomata density and structure from microscopic images: Munich Germany September 8‐14 2018 Proceedings Part VI[M]. Computer Vision – ECCV 2018 Workshops.https://doi.org/10.1007/978‐3‐030‐11024‐6_31

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