期刊论文

Fan, W

英文

Sensors

1424-3210

2023

23

13

5964-

10.3390/s23135964

Conceptualization, Y.Z. (Yi Zhang) and W.F.; methodology, Y.Z. (Yi Zhang); software, C.L.; validation, Y.Z. (Yi Zhang) and Y.Z. (Yushuang Zhu); formal analysis, Y.Z. (Yushuang Zhu); investigation, X.L. and Y.L.; resources, C.L., X.L. and Y.L.; data curation, W.F.; writing—original draft preparation, Y.Z. (Yi Zhang); writing—review and editing, Y.Z. (Yushuang Zhu) and W.F.; visualization, Y.Z. (Yi Zhang) and Y.Z. (Yushuang Zhu); supervision, W.F. and X.Z.; project administration, W.F. and X.Z.; funding acquisition, X.Z., W.F. and Y.Z. (Yi Zhang). All authors have read and agreed to the published version of the manuscript. This research was funded by the Key Project of the Hunan Provincial Department of Education (20A230); Project of Hengyang Tobacco Company (2021430481240017).

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The maturity of tobacco leaves plays a decisive role in tobacco production, affecting the quality of the leaves and production control. Traditional recognition of tobacco leaf maturity primarily relies on manual observation and judgment, which is not only inefficient but also susceptible to subjective interference. Particularly in complex field environments, there is limited research on in situ field maturity recognition of tobacco leaves, making maturity recognition a significant challenge. In response to this problem, this study proposed a Mo...