Automation of leaf counting in maize and sorghum using deep learning-Reference-Cited by-同舟云学术

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Automation of leaf counting in maize and sorghum using deep learning

Published:2021-01 Issue:1 Volume:4 Page:
ISSN:2578-2703
Container-title:The Plant Phenome Journal
language:en
Short-container-title:The Plant Phenome Journal

Author:

Miao Chenyong¹²³⁴^ORCID,Guo Alice¹,Thompson Addie M.⁵,Yang Jinliang¹²^ORCID,Ge Yufeng⁶,Schnable James C.¹²³^ORCID

Affiliation:

1. Center for Plant Science Innovation Univ. of Nebraska‐Lincoln Lincoln NE 68588 USA

2. Department of Agronomy and Horticulture Univ. of Nebraska‐Lincoln Lincoln NE 68503 USA

3. Quantitative Life Sciences Initiative Univ. of Nebraska‐Lincoln Lincoln NE 68503 USA

4. Current affiliation: Bayer Crop Science Chesterfield MO 63017 USA

5. Dep. of Plant, Soil and Microbial Sciences Michigan State Univ. East Lansing MI 48824 USA

6. Dep. of Biological Systems Engineering Univ. of Nebraska‐Lincoln Lincoln NE 68503 USA

Publisher

Wiley

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ppj2.20022

Reference66 articles.

1. Aich S. &Stavness I.(2017).Leaf counting with deep convolutional and deconvolutional networks.Proceedings of the IEEE International Conference on Computer Vision Workshops 2080–2089.

2. Leaf Number and Maturity in Hybrid Corn 1

3. Field high-throughput phenotyping: the new crop breeding frontier

4. Bell J. &Dee H. M.(2019).Leaf segmentation through the classification of edges. arXiv.https://arxiv.org/pdf/1904.03124.pdf.

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