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Author: search.filters.author.Shrestha, Bim PrasadSubject: search.filters.subject.Hyperspectral imaging

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    Near-infrared hyperspectral and multispectral imaging principies and applications in the quality of fruits and vegetables
    (2023-08-21)
    Sharma, Sneha
    ;
    Sumesh, K. C.
    ;
    Shrestha, Bim Prasad
    ;
    Sirisomboon, Panmanas
    In recent years, imaging technologies (hyperspectral and multispectral) are being widely investigated and applied as a non-destructive, reliable, and accurate technique to monitor the quality and composition of agricultural products. Over two decades, hyperspectral imaging (HSI) has developed as a promising technology for qualitative and quantitative analysis of fruits and vegetables. The ability to integrate spatial and spectral information in the form of a hypercube is one of the significant advantages of HSI over spectroscopy and other imaging technologies. It enables mapping of the spatial variability or distribution of those Parameters within the sample. Like HSI, multispectral imaging (MSI) is also gaining interest in real-time application in the grading and/or packaging of fruits and vegetables. Hundreds of images over a contiguous wavelength in HSI brings algorithmic processing complexities, whereas fewer wavelengths in multispectral imaging reduces algorithmic complexities and enables faster processing with reliable results. In summary, these imaging technologies are powerful and reliable techniques for the analysis of agricultural products. This chapter will focus on the theory and principles of near infrared HSI and MSI technologies, their components, the mode of image acquisition, and image processing techniques. Finally, the recent application of these imaging techniques for predicting physicochemical properties, antioxidants, chemical components, texture, defects, maturity classification, shape, and size of fruits and agricultural products are presented.
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    Near-infrared spectroscopy, hyperspectral, multispectral imaging principles and applications in energy properties of biomass
    (2023-08-21)
    Posom, Jetsada
    ;
    Shrestra, Bijendra
    ;
    Maraphum, Kanvisit
    ;
    Pitak, Lakkana
    ;
    Saengprachatanarug, Khwantri
    Biomass is renewable energy which is zero neutrality carbon energy. It is used for generating heat energy and electrical energy. Therefore, the use of biomass with high efficiency is important and the quality of biomass related to its energy should be measured before utilization and trading. The measurement of energy indexes of biomass is necessary to the thermal conversion process and the trading of biomass. However, the conventional measurement methods are laborious and take a long time, with a lot of costs. In recent years, near infrared spectroscopy (NIR) and imaging technologies (hyperspectral and multispectral images) have been widely investigated and applied as non-destructive, reliable and accurate techniques to monitor the quality and composition of biomass. This chapter contains the principle of NIR and imaging technique including essential component principles, NIR and imaging technique procedures, novel model development methods and applications. The non-destructive measurement of biomass quality as the real time and non- contact measurement will be represented. Moreover, this chapter will describe the application of NIR and imaging techniques for analysing the energy indexes of biomass, such as heating value or calorific value, proximate data, elemental composition, combustion index, pyrolysis characteristics, mechanical properties and so on.