Application of an image-based head detection method for yield trial plots in wheat and barley breeding programs-Reference-Cited by-同舟云学术

Application of an image-based head detection method for yield trial plots in wheat and barley breeding programs

Published:2024-06-01 Issue:1 Volume:26 Page:5-16
ISSN:1344-7629
Container-title:Breeding Research
language:en
Short-container-title:Breeding Research

Author:

Nakamura Haruki¹,Ishikawa Goro¹,Yonemaru Jun-ichi²,Guo Wei³,Yamada Tetsuya¹⁴,Tougou Makoto¹⁵,Takahashi Asuka¹,Hatta Koichi¹⁶,Kojima Hisayo¹,Okada Takeyuki¹

Affiliation:

1. Institute of Crop Science, National Agriculture and Food Research Organization (NARO)

2. Research Center for Agricultural Information Technology, National Agriculture and Food Research Organization (NARO)

3. Graduate School of Agricultural and Life Sciences, The University of Tokyo

4. Present affiliation: Research Center for Agricultural Information Technology, NARO

5. Present affiliation: Agriculture, Forestry and Fisheries Research Council, MAFF

6. Present affiliation: Hokkaido Agricultural Research Center, NARO

Publisher

Japanese Society of Breeding

Link

https://www.jstage.jst.go.jp/article/jsbbr/26/1/26_24J01/_pdf

Reference32 articles.

1. 荒川みずほ・後藤紘志・杉浦和彦・杉浦直樹（2019）コムギ品種「きぬあかり」の多収要因の解析．愛知県農総試研報 51: 103–105.

2. Batin, M.A., M. Islam, M.M. Hasan, A. Azad, S.A. Alyami, M.A. Hossain and S.J. Miklavcic (2023) WheatSpikeNet: an improved wheat spike segmentation model for accurate estimation from field imaging. Front. Plant Sci. 14: 1226190.

3. Bochkovskiy, A., W. Chien-Yao and H.Y.M. Liao (2020) YOLOv4: optimal speed and accuracy of object detection. arXiv preprint arXiv: 2004.10934.

4. Cao, S., D. Xu, M. Hanif, X. Xia and Z. He (2020) Genetic architecture underpinning yield component traits in wheat. Theor. Appl. Genet. 133: 1811–1823.

5. David, E., S. Madec, P. Sadeghi-Tehran, H. Aasen, B. Zheng, S. Liu, N. Kirchgessner, G. Ishikawa, K. Nagasawa, M.A. Badhon et al. (2020) Global Wheat Head Detection (GWHD) Dataset: a large and diverse dataset of high-resolution RGB-labelled images to develop and benchmark wheat head detection methods. Plant Phenomics 2020: 3521852.