A method of rice panicle number counting based on improved CSRNet model

The results show that the method of this study has a mean error value of 3.83% on the final validation set. On this basis, the development of rice per panicle counting APP based on Android terminal and batch counting software RiceGrainCounter based on PC terminal realizes real-time counting on Android terminal and batch counting on PC terminal, which can provide theoretical basis and technical support for rice per panicle counting.

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Publication Details

Journal
Frontiers in Plant Science
Published
2025-04-03
DOI
https://doi.org/10.3389/fpls.2025.1494564
Citations
1
Primary Topic
Remote Sensing and Land Use
Type
article
Field-Weighted Citation Impact
1.30
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article

A method of rice panicle number counting based on improved CSRNet model

Yongxian Wen, Junyan Zhu, Jiaxing Huang, Jingyu Wang et al.
1 citations
Frontiers in Plant Science
Remote Sensing and Land Use
1.30
article

A method of rice panicle number counting based on improved CSRNet model

Yongxian Wen, Junyan Zhu, Jiaxing Huang, Jingyu Wang, Yiyuan Wang
article en
1 citations

Abstract

The results show that the method of this study has a mean error value of 3.83% on the final validation set. On this basis, the development of rice per panicle counting APP based on Android terminal and batch counting software RiceGrainCounter based on PC terminal realizes real-time counting on Android terminal and batch counting on PC terminal, which can provide theoretical basis and technical support for rice per panicle counting.

Frontiers in Plant ScienceVol. 16
Fujian Agriculture and Forestry University (CN), Fuzhou University (CN)
Openalex Percentile: Top 24%
Remote Sensing and Land Use
1.30
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A method of rice panicle number counting based on improved CSRNet model — Yongxian Wen, Junyan Zhu, et al. · Frontiers in Plant Science (2025) | TGRS Research Map | TGRS