Correction: A digital twin–driven deep learning framework for online quality inspection in tobacco transplanting
Qiuyang Zhao, Erdeng Ma, Jian Zhao, Zekun You, Jiahui Liu, Dong Zhao
Abstract
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSmart Agriculture and AI · Food Supply Chain Traceability · Fire Detection and Safety Systems
In the published article, there was a mistake in the Funding statement. The section originally stated “The author(s) declared that financial support was received for this work and/or its publication. The authors declare that this study received funding from China National Tobacco Corporation Yunnan Province Branch. The funder was not involved in the study design, collection, analysis, interpretation of data, the writing of this article or the decision to submit it for publication.”
The corrected statement is: “The author(s) declared that financial support was received for this work and/or its publication. The authors declare that this study received funding from China National Tobacco Corporation Yunnan Province Branch, under the major project of the Scientific and Technological Plan of Yunnan Tobacco (project number: 2024530000241018). The funder was not involved in the study design, collection, analysis, interpretation of data, the writing of this article or the decision to submit it for publication.”
The original version of this article has been updated.