Review of tobacco leaf classification research based on artificial intelligence

In order to complete the research on intelligent classification of tobacco leaves issued by the National Bureau, improve the level of raw material assurance, and study the development trend of domestic tobacco grading technology, using domestic tobacco research results as data sources, association analysis, cluster analysis, NLP analysis, etc. are used as analysis tools. The grading data from 1979 to 2019 were analyzed, and the main research institutions, core authors, and research hotspots of tobacco grading were analyzed. Finally, the status and existing problems of tobacco grading research, as well as the rules and trends of tobacco grading research are given. In particular, it is pointed out that hyperspectral + deep learning + expert system will become a research hotspot, among which deep learning is a research Focus.