吴赛赛, 周爱莲, 谢能付, 梁晓贺, 汪汇涓, 李小雨, & 陈桂鹏. (2020). 基于深度学习的作物病虫害可视化知识图谱构建. Transactions of the Chinese Society of Agricultural Engineering, 36(24), 177-185. https://doi.org/10.11975/j.issn.1002-6819.2020.24.021
ISO-690 (author-date, English)吴赛赛, 周爱莲, 谢能付, 梁晓贺, 汪汇涓, 李小雨 und 陈桂鹏, 2020. 基于深度学习的作物病虫害可视化知识图谱构建. Transactions of the Chinese Society of Agricultural Engineering. 15 Dezember 2020. Vol. 36, no. 24, p. 177-185. DOI 10.11975/j.issn.1002-6819.2020.24.021.
Modern Language Association 9th edition吴赛赛, 周爱莲, 谢能付, 梁晓贺, 汪汇涓, 李小雨, und 陈桂鹏. „基于深度学习的作物病虫害可视化知识图谱构建.“. Transactions of the Chinese Society of Agricultural Engineering, Bd. 36, Nr. 24, Dezember 2020, S. 177-85, https://doi.org/10.11975/j.issn.1002-6819.2020.24.021.
Mohr Siebeck - Recht (Deutsch - Österreich)吴赛赛/周爱莲/谢能付/梁晓贺/汪汇涓/李小雨 u. a.: 基于深度学习的作物病虫害可视化知识图谱构建., Transactions of the Chinese Society of Agricultural Engineering 2020, 177-185.
Emerald - Harvard吴赛赛, 周爱莲, 谢能付, 梁晓贺, 汪汇涓, 李小雨 und 陈桂鹏. (2020), „基于深度学习的作物病虫害可视化知识图谱构建.“, Transactions of the Chinese Society of Agricultural Engineering, Vol. 36 No. 24, S. 177-185.