Application of nondestructive detection of fruit by near-infrared spectroscopy and imaging
Near-Infrared(NIR) spectroscopy and imaging technology emerge as innovative sensor-based non-destructive evaluation techniques,boasting of their environmental friendliness,absence of pollution,and non-destructive capabilities,thereby offering novel methodologies for the rapid and non-destructive detection within the domain of fruit quality.This paper reviews the advances in the research regarding the application of NIR spectroscopy and imaging technology in fruit quality assessment.It elucidates the fundamental principles underlying NIR spectroscopy and imaging technology and scrutinizes the current landscape of their application in online scenarios,including the analysis of chemical composition,maturity evaluation,and the development of miniaturized devices tailored for fruit quality inspection.Furthermore,the paper delves into the operational status of NIR spectroscopy imaging technology in examining the external appearance and quality of fruits,along with diagnosis of pest and disease infestations,and describes the technological superiority of NIR spectroscopy in discerning the distribution of fruit components and identifying defects.Moreover,it discusses the immense potential presented by the integration of NIR spectroscopy and imaging technology with Artificial Intelligence(AI) and the Internet of Things(IoT),forecasts the application prospects in terms of enhancing the efficiency and accuracy of fruit quality evaluation and improving intelligent supply chain management with a view to provide a reliable reference for application-based research of non-destructive fruit detection.
国家科技期刊平台
NSTL
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