多光谱图像
质量(理念)
遥感
成熟度(心理)
计算机科学
鉴定(生物学)
高光谱成像
图像质量
环境科学
人工智能
多光谱模式识别
反射率
质量评定
作者
Birte Boelt,Santosh Shrestha,Zahra Salimi,Johannes Ravn Jørgensen,Mogens Nicolaisen,Jens Michael Carstensen
标识
DOI:10.1017/s0960258518000235
摘要
Abstract Multispectral imaging is a new technology that is being deployed to assess seed quality parameters. Examples of applications in the detection and identification of fungi on seeds are presented, together with an example of the technology used for maturity determination in sugar beet seed. Results from multispectral imaging are compared with reference methods, and a high correlation is found. Applications of the technique for varietal discrimination and insect damage are also presented. There is a need for non-destructive, reliable and fast techniques, and it is concluded that multispectral imaging has potential for seed quality assessment, in particular for those components associated with surface structure and chemical composition, seed colour, morphology and size.
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