591 results on '"Wang, Yuanzhong"'
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2. Small-scale districts identification of Boletus bainiugan from Yunnan province of China based on residual convolutional neural network continuous classification models
3. Rapid prediction of nucleosides content and origin traceability of Boletus bainiugan using Fourier transform near-infrared spectroscopy combined with chemometrics
4. Predicting the suitable habitat distribution of Polygonatum kingianum under current and future climate scenarios in southwestern Yunnan, China
5. Classification of bolete species and drying temperature using LC–MS and infrared spectroscopy and simultaneous prediction of their major compounds using chemometrics
6. A new insight into the formation of special flavor during the drying process of boletes based on FTIR joint HS-SPME-GC-MS
7. ATR-FTIR as a green tool for rapid identity authentication of Gastrodia elata Blume under the influence of multi-biological variability
8. Geographical origin identification of Dendrobium Officinale based on FT-NIR and ATR-FTIR spectroscopy
9. The traditional uses, phytochemistry and pharmacology of Gastrodia elata Blume: A comprehensive review
10. Rapid determination of geographical authenticity of Gastrodia elata f. glauca using Fourier transform infrared spectroscopy and deep learning
11. Rapid and accurate identification of Gastrodia elata Blume species based on FTIR and NIR spectroscopy combined with chemometric methods
12. Detection technologies, and machine learning in food: Recent advances and future trends
13. Identification and crude protein prediction of porcini mushrooms via deep learning-assisted FTIR fingerprinting
14. Infrared-spectrum-effect combined with deep learning to predict the origin of Gentiana rigescens Franch.
15. A study integrated metabolomics, network pharmacology, and machine learning to investigate differential metabolites of volatile compounds in food evaluation: A case of porcini mushrooms
16. Rapid and non-invasive estimation of total phenol content and species identification in dried wild edible bolete using FT-NIR spectroscopy
17. Recent trends in non-destructive techniques for quality assessment of edible mushrooms
18. Preparation, analysis, biological activity of Polygonati Rhizoma polysaccharides: A review
19. Chemometrics and deep learning assisted infrared spectroscopic identification of Dendrobium species
20. Integrating infrared spectroscopy, metabolomics, and network pharmacology to investigate differential metabolites of volatile compounds in porcini mushrooms
21. Accreditations of the optimal origins of Boletus bainiugan using Fourier transform near-infrared spectroscopy in combination with environmental variables and heavy metal element determinations
22. Characterization of volatile profiles and markers prediction of eleven popular edible boletes using SDE-GC–MS and FT-NIR combined with chemometric analysis
23. Application of ATR-FTIR and FT-NIR spectroscopy coupled with chemometrics for species identification and quality prediction of boletes
24. Validating the feasibility of the method of ensemble learning combined with FT-MIR for the discrimination of wild Paris polyphylla var. Yunnanensis from different geographical sources
25. A fast method for predicting adenosine content in porcini mushrooms using Fourier transform near-infrared spectroscopy combined with regression model
26. Development of machine learning models using multi-source data for geographical traceability and content prediction of Eucommia ulmoides leaves
27. ResD-Net: A model for rapid prediction of antioxidant activity in gentian root using FT-IR spectroscopy
28. Differences between two plants fruits: Amomum tsaoko and Amomum maximum, using the SPME-GC–MS and FT-NIR to classification
29. Effect of drying temperature on composition of edible mushrooms: Characterization and assessment via HS-GC-MS and IR spectral based volatile profiling and chemometrics
30. Simulation of suitable habitats and geographic tracing based on medicinal and edible plants with Gastrodia elata Bl. as an example
31. Optimization of Fourier transform near-infrared spectroscopy model in determining saponin compounds of Panax notoginseng roots
32. Technical exploration of the origins, storage periods and species identification of Boletus bainiugan
33. Data fusion of FT-NIR and ATR-FTIR spectra for accurate authentication of geographical indications for Gastrodia elata Blume
34. Recent trends of machine learning applied to multi-source data of medicinal plants
35. Solving the identification problems of Bolete origins based on multiple data processing: Take Boletus bainiugan as an example
36. Improvement on the discrimination of Amomum tsao-ko origins using NIR combined with sequential pre-processing through orthogonalization (SPORT) and PLS-DA
37. Review of postharvest processing of edible wild-grown mushrooms
38. Machine learning applications for multi-source data of edible crops: A review of current trends and future prospects
39. Qualitative and quantitative analysis of Lanmaoa asiatica in different storage years based on FT-NIR combined with chemometrics
40. Edibility and species discrimination of wild bolete mushrooms using FT-NIR spectroscopy combined with DD-SIMCA and RF models
41. Geographical traceability of germplasm resources of Paris polyphylla var. yunnanensis based on multi-block information integration platform
42. A geographical traceability method for Lanmaoa asiatica mushrooms from 20 township-level geographical origins by near infrared spectroscopy and ResNet image analysis techniques
43. Main components determination and rapid geographical origins identification in Gentiana rigescens Franch. based on HPLC, 2DCOS images combined to ResNet
44. A strategy of fast evaluation for the raw material of Tiepi Fengdou using FT-NIR and ATR-FTIR spectroscopy coupled with chemometrics tools
45. Superiority of two-dimensional correlation spectroscopy combined with ResNet in species identification of bolete
46. A rapid and effective method for species identification of edible boletes: FT-NIR spectroscopy combined with ResNet
47. Occurrence, distribution, and associations of essential and non-essential elements in the medicinal and edible fungus “Fuling” from southern China
48. Rapid identification of total phenolic content levels in boletes by two-dimensional correlation spectroscopy combined with deep learning
49. Multi-information based on ATR-FTIR and FT-NIR for identification and evaluation for different parts and harvest time of Dendrobium officinale with chemometrics
50. A fast multi-source information fusion strategy based on deep learning for species identification of boletes
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