An additional data fusion strategy for the discrimination of porcini mushrooms from different species and origins in combination with four mathematical algorithms-Reference-Cited by-同舟云学术

An additional data fusion strategy for the discrimination of porcini mushrooms from different species and origins in combination with four mathematical algorithms

Published:2018 Issue:11 Volume:9 Page:5903-5911
ISSN:2042-6496
Container-title:Food & Function
language:en
Short-container-title:Food Funct.

Author:

Qi LuMing¹²³⁴⁵,Li JieQing⁶⁷⁸⁵,Liu HongGao⁶⁷⁸⁵,Li Tao⁹¹⁰¹¹⁵,Wang YuanZhong¹²¹³¹⁴⁵^ORCID

Affiliation:

1. State Key Laboratory Breeding Base of Systematic Research

2. Development and Utilization of Chinese Medicine Resources

3. Chengdu University of Traditional Chinese Medicine

4. Chengdu 611137

5. China

6. College of Agronomy and Biotechnology

7. Yunnan Agricultural University

8. Kunming 650201

9. College of Resources and Environment

10. Yuxi Normal University

11. Yuxi 653100

12. Institute of Agro-Products Processing Science and Technology

13. Yunnan Academy of Agricultural Sciences

14. Kunming

Abstract

This study presents an alternative data fusion strategy for the discrimination of multi-source porcini mushrooms based on mathematical algorithms.

Funder

National Natural Science Foundation of China

Yunnan Provincial Department of Education

Publisher

Royal Society of Chemistry (RSC)

Subject

General Medicine,Food Science

Link

http://pubs.rsc.org/en/content/articlepdf/2018/FO/C8FO01376D

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5. Antioxidant properties of Agaricus blazei, Agrocybe cylindracea, and Boletus edulis

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