Recent progress of nondestructive techniques for fruits damage inspection: a review
- 13 February 2021
- journal article
- review article
- Published by Taylor & Francis Ltd in Critical Reviews in Food Science and Nutrition
- Vol. 62 (20), 5476-5494
- https://doi.org/10.1080/10408398.2021.1885342
Abstract
In the process of growing, harvesting, and storage, fruits are vulnerable to mechanical damage, microbial infections, and other types of damage, which not only reduce the quality of fruits, increase the risk of fungal infections, in turn greatly affect food safety, but also sharply reduce economic benefits. Hence, it is essential to identify damaged fruits in time. Rapid and nondestructive detection of fruits damage is in great demand. In this paper, the latest research progresses on the detection of fruits damage by nondestructive techniques, including visible/near-infrared spectroscopy, chlorophyll fluorescence techniques, computer vision, multispectral and hyperspectral imaging, structured-illumination reflectance imaging, laser-induced backscattering imaging, optical coherence tomography, nuclear magnetic resonance and imaging, X-ray imaging, electronic nose, thermography, and acoustic methods, are summarized. We briefly introduce the principles of these techniques, summarize their applicability. The challenges and future trends are also proposed to provide beneficial reference for future researches and real-world applications.Keywords
This publication has 120 references indexed in Scilit:
- Application of MRI for tissue characterisation of ‘Braeburn’ applePostharvest Biology and Technology, 2013
- Characterisation of ‘Braeburn’ browning disorder by means of X-ray micro-CTPostharvest Biology and Technology, 2013
- Detecting rottenness caused by Penicillium genus fungi in citrus fruits using machine learning techniquesExpert Systems with Applications, 2012
- A decision-fusion strategy for fruit quality inspection using hyperspectral imagingBiosystems Engineering, 2012
- Detection of common defects on oranges using hyperspectral reflectance imagingComputers and Electronics in Agriculture, 2011
- Classification of impacted blueberries during storage using an electronic noseJournal of the Science of Food and Agriculture, 2011
- Chilling injury in stored nectarines and its detection by time-resolved reflectance spectroscopyPostharvest Biology and Technology, 2011
- Gas sensor array for blueberry fruit disease detection and classificationPostharvest Biology and Technology, 2010
- Detection of early apple bruises using pulsed-phase thermographyPostharvest Biology and Technology, 2009
- Measurement of the optical properties of fruits and vegetables using spatially resolved hyperspectral diffuse reflectance imaging techniquePostharvest Biology and Technology, 2008