高光谱成像
采后
相关系数
下降(电信)
数学
分布(数学)
生物系统
计算机科学
材料科学
园艺
统计
遥感
生物
地质学
数学分析
电信
作者
Peipei Zhang,Huaiwen Wang,Hongwei Ji,Yankun Li,Xiaochuan Zhang,Yanan Wang
标识
DOI:10.1016/j.postharvbio.2023.112309
摘要
Early damage detection of fruit is a challenge in the postharvest treatment of agricultural products, especially the lack of early damage degree representation. In this study, the damage distribution of apples was experimentally investigated through impact tests based on hyperspectral imaging technology. A parameter–correlation coefficient Cfg is proposed to characterize the damage distribution of fruit. The damage index DIx is further defined to measure the damage degree. This method uses the distribution of the correlation coefficient field to evaluate the damage and determines the relationship between the reflectance and the drop height. The index gradually increases with the rise in drop height. The damage index DI0.6 was 0.2106, 0.2925, and 0.3585 at the drop heights of 0.3 m, 0.6 m, and 0.9 m, respectively. The results of the damage distribution were also interpreted using the finite element method. This non-destructive method can be used to reflect the damage distribution of apples under impact accurately, which provides a solid basis for assessing early damage in postharvest fruit.
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