- 标题
- 摘要
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过滤筛选
- 2019
- charge – discharge energy efficiency
- Lithium-ion battery
- degradation diagnosis
- photovoltaic surplus energy
- working electric vehicle
- Electrical Engineering and Automation
- Ritsumeikan University
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[Advances in Food and Nutrition Research] || Advanced Analysis of Roots and Tubers by Hyperspectral Techniques
摘要： Hyperspectral techniques in terms of spectroscopy and hyperspectral imaging have become reliable analytical tools to effectively describe quality attributes of roots and tubers (such as potato, sweet potato, cassava, yam, taro, and sugar beet). In addition to the ability for obtaining rapid information about food external or internal defects including sprout, bruise, and hollow heart, and identifying different grades of food quality, such techniques have also been implemented to determine physical properties (such as color, texture, and specific gravity) and chemical constituents (such as protein, vitamins, and carotenoids) in root and tuber products with avoidance of extensive sample preparation. Developments of related quality evaluation systems based on hyperspectral data that determine food quality parameters would bring about economic and technical values to the food industry. Consequently, a comprehensive review of hyperspectral literature is carried out in this chapter. The spectral data acquired, the multivariate statistical methods used, and the main breakthroughs of recent studies on quality determinations of root and tuber products are discussed and summarized. The conclusion elaborates the promise of how hyperspectral techniques can be applied for non-invasive and rapid evaluations of tuber quality properties.
关键词： Gradation,Physical properties,Chemometric analyses,Multivariate statistics,Hyperspectral imaging,Chemical constituents,Authentication,Vibrational spectroscopy,Potato tuber,Food quality
更新于2025-09-19 17:15:36
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Estimation of aggregate gradation from partial gradation information obtained by multiple imaging equipment
摘要： The aggregate gradation is an important consideration in bound or unbound mixes, as it influences the engineering properties of the mixes (both during and after construction). In recent times, effort is being made to employ imaging methods to predict the gradation of aggregates in the mix. This approach involves acquisition of two- (or three-) dimensional image of the aggregates distributed within the mix and subsequent image analysis. The size of the aggregates for a given mix typically varies by several orders of magnitude, and thus, it may not be possible to capture the entire size-range of the aggregates using a single imaging equipment. Different imaging equipment may be effective for different size ranges, and hence would individually provide partial information on the size distribution. In the present study, a simple formulation is developed (for two-dimensional images) that can be utilised to collate the partial information (obtained by various imaging equipment) to generate the overall aggregate size distribution of a given mix. To illustrate the formulation developed, two-dimensional images of asphalt mix acquired by scanner, camera and scanning electron microscope are utilised so as to predict the overall aggregate gradation originally used in the asphalt mix.
关键词： imaging equipment,image analysis,aggregate gradation,Asphalt mix
更新于2025-09-10 09:29:36