Recognition of Apple Freshness Based on Fisher Discriminant Analysis

Autor: Haijun SHEN, Tanglei ZHANG, Zhenxing XU, Ting YU, Zhongwen CAO
Jazyk: čínština
Rok vydání: 2023
Předmět:
Zdroj: Shipin gongye ke-ji, Vol 44, Iss 4, Pp 361-368 (2023)
Druh dokumentu: article
ISSN: 1002-0306
DOI: 10.13386/j.issn1002-0306.2022050023
Popis: Taking the top five apples sold on Taobao (Tianshui Huaniu, Aksu Tangxin, Luochuan Red Fuji, Cream Fuji and Huang Marshal) as the test objects, store at 20 ℃ and 55% relative humidity, on the 0th, 5th, 10th, 15th, 20th and 25th days of the storage period to determine its water content, hardness, color difference, soluble solid content (SSC) and titratable acid, and the sensory evaluation, cluster analysis and Fisher discrimination were carried out for five kinds of apples. Result showed that, the freshness of apples was divided into fresh, sub-fresh, acceptable and spoiled by sensory evaluation and cluster analysis. Two discriminant functions of apples during storage were obtained by Fisher discriminant analysis. The total coefficient of variation of function 1 was 93.90% (P=0.000), the overall coefficient of variation of function 2 was 6.10% (P=0.003), and both functions had discriminant significance (P
Databáze: Directory of Open Access Journals