**4. Conclusions**

In this study, a two-stage separation and enrichment microfluidic chip with an arcshaped pretreatment channel was developed and designed to separate and enrich crop disease spores, and then combined with confocal Raman microscopy to conduct Raman fingerprinting of disease conidia. The map was accurately identified. Support vector machine (SVM) and back-propagation artificial neural network (BPANN) were used to identify fungal spore species, and the identification accuracy was 86.32% and 87.61%; the SCARS-SVM model had the best discriminant effect, with a discriminant accuracy of 94.31%. Therefore, the capture and identification method of crop disease spores based on microfluidic chip and micro Raman may become an accurate, convenient, and inexpensive method for detection and identification of fungal spores.

**Author Contributions:** Conceptualization, X.Z. and F.B.; methodology, X.Z.; software, F.B.; validation, F.B., Y.W. and N.Y.; formal analysis, F.B.; investigation, H.M.; resources, N.Y.; data curation, F.B.; writing—original draft preparation, F.B.; writing—review and editing, X.Z.; visualization, L.H.; supervision, H.M.; project administration, X.Z.; funding acquisition, X.Z. All authors have read and agreed to the published version of the manuscript.

**Funding:** This research was funded by the Project of Agricultural Equipment Department of Jiangsu University (NZXB20210106); Key Laboratory of Modern Agricultural Equipment and Technology (Jiangsu University), Ministry of Education (Grant No. MAET202111); National Key Research and Development Program for Young Scientists (2022YFD2000013); Key Laboratory of Modern Agricultural Equipment and Technology (Ministry of Education), High-tech Key Laboratory of Agricultural Equipment and Intelligence of Jiangsu Province (Grant No. JNZ201901); Scientific and Technological Project of Henan Province (Grant No. 212102110029); and the National Natural Science Foundation of China (61771224 and 32071905).

**Data Availability Statement:** Data is contained within the article.

**Conflicts of Interest:** The authors declare no conflict of interest.
