a- tional Natural Science Fund, China (31701321). Conflict of Interest The authors declare that they have no known competing financial interests or personal relation- ships that could have appeared to influence the work reported in this paper. Appendix A. Supplementary data Supplementary data to this article can be found online at https://doi.org/10.1016/j.dib.2019.104667. Reference [1] S. Zhao, H. Zheng, M. Chi, X. Chai, Y. Liu, Rapid yield prediction in paddy fields based on 2D image modelling of rice panicles, Comput. Electron. Agric. 162 (2019) 759e766, https://doi.org/10.1016/j.compag.2019.05.020.
Open resource ↗pdf-layout-page:6 lines:1-23Unverified paper record
Grain area data and yield characteristics data in rapid yield prediction based on rice panicle imaging.
Data in brief · 15 Oct 2019 · 10.1016/j.dib.2019.104667
Abstract
To explore the relationship between the attributes of the rice panicle and its weight parameters, 6 different rice cultivars from Sihong City, Jiangsu Province, China were selected for sampling in 2017. Then, their weight parameters were measured. The images of rice panicles were scanned to obtain grain area. The significant correlation between the grain area and the panicle weight was found on the base of the analysis for the data obtained [1]. Now the weight and area data were present here for exploring the rapid yield estimation models and crop phenotype research.
Plant phenotyping relevance
イネ穂の画像スキャンから粒面積を取得し、収量推定や作物表現型研究に再利用するデータを提示しており、画像ベース形質データセットとして方法論的価値がある。
abstractThe images of rice panicles were scanned to obtain grain area.
abstractNow the weight and area data were present here for exploring the rapid yield estimation models and crop phenotype research.
Code and data availability
This Data in Brief article presents the paper's own rice panicle phenotyping measurements (grain area, panicle/grain weight parameters for 6 cultivars, 1200 panicles) and states that the raw data files (.xlsx) were uploaded as supplementary material, publicly accessible online at the article DOI. No separate author-dep
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