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- W4224249041 abstract "Cereals provide humans with essential nutrients, and its quality assessment has attracted widespread attention. Infrared (IR) spectroscopy (IRS) and hyperspectral imaging (HSI), as powerful nondestructive testing technologies, are widely used in the quality monitoring of food and agricultural products. Artificial intelligence (AI) plays a crucial role in data mining, especially in recent years, a new generation of AI represented by deep learning (DL) has made breakthroughs in analyzing spectral data of food and agricultural products. The combination of IRS/HSI and AI further promotes the development of quality evaluation of cereals. This paper comprehensively reviews the advances of IRS and HSI combined with AI in the detection of cereals quality. The aim is to present a complete review topic as it touches the background knowledge, instrumentation, spectral data processing (including preprocessing, feature extraction and modeling), spectral interpretation, etc. To suit this goal, principles of IRS and HSI, as well as basic concepts related to AI are first introduced, followed by a critical evaluation of representative reports integrating IRS and HSI with AI. Finally, the advantages, challenges and future trends of IRS and HSI combined with AI are further discussed, so as to provide constructive suggestions and guidance for researchers." @default.
- W4224249041 created "2022-04-26" @default.
- W4224249041 creator A5000446896 @default.
- W4224249041 creator A5011189615 @default.
- W4224249041 creator A5018841457 @default.
- W4224249041 creator A5020769177 @default.
- W4224249041 creator A5091161457 @default.
- W4224249041 date "2022-04-20" @default.
- W4224249041 modified "2023-10-17" @default.
- W4224249041 title "Advances in infrared spectroscopy and hyperspectral imaging combined with artificial intelligence for the detection of cereals quality" @default.
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