Author(s)

Guiyun Zhao ¹, Baiyu Song ¹, Jian Sun ¹, Yajun Fan ²

Affiliation(s)

¹ Jiangsu Vocational College of Agriculture and Forestry, Jurong, Jiangsu, 212400, China
² Jiangsu Isbela Ecological Agricultural Technology Co., Ltd., Jurong, Jiangsu, 212400, China

Corresponding Author

Guiyun Zhao

ABSTRACT

In recent years, the food quality and safety testing technology in China has been developing continuously. Strawberry is a popular fruit. The detection of strawberry quality includes the detection of its maturity, sugar content, appearance and other parameters. Through the application of effective detection technology, it can provide effective model support for the internal quality, maturity and identification of different varieties of strawberries. In this paper, near-infrared spectroscopy detection technology is studied. First, this technology and its advantages and disadvantages are introduced, and the application of near-infrared spectroscopy based strawberry quality detection technology is explored.

KEYWORDS

Near-infrared Spectroscopy; Strawberry; Quality Inspection

CITE THIS PAPER

Guiyun Zhao, Baiyu Song, Jian Sun, Yajun Fan. Detection of Strawberry Quality Based on Near Infrared Spectroscopy. Advances in Computer, Signals and Systems (2023) Vol. 7: 80-83. DOI: http://dx.doi.org/10.23977/acss.2023.070211.

REFERENCES

[1] Zhang J. Research on near-infrared spectral detection of strawberry sugar content based on SPXY-WT-CARS algorithm [J]. Food and fermentation technology 2020; 56(6):136-139,142. 
[2] Shi J, Yin X, Zou X, etc. Near infrared spectroscopy detection of strawberry firmness based on simulated annealing wavelength optimization [J]. Journal of agricultural machinery 2010; 41(9):99-103. 
[3] Shi J, Zou X, Zhao J. etc. The sugar content detection model of strawberry by near-infrared spectroscopy based on wavelet noise filtering and iPLS [J]. Anhui agricultural science 2009; 37(12):5752-5754. 
[4] Ai S, Liu M. Study on near-infrared spectral detection of strawberry acidity using genetic algorithm combined with interval partial least square method [J]. Jiangxi Agricultural University Daily 2010; 32(3):633-636. 
[5] Song X, Wang H, Qian L, etc. Rapid detection of strawberry quality based on near-infrared spectroscopy [J]. Journal of Heilongjiang 81 Agricultural Reclamation University 2020; 32(3):35-43.

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