Hyperspectral imaging is a new technology for nondestructive detection of fruit which developed rapidly in recent years. It can get the image and spectral information of the detected object from "three-dimensional", can also reflect the internal and external qualities simultaneously, is a new efficient grading method for fruit. This article induces system types by introducing the hardware structure, determine light source and scanning mode which apply to apple grading. We describe detecting process of apple external and internal indicators according to two directions in apple grading. For internal quality detection, we generalize the methods of image enhancement and image segmentation. For quality indicator detection, we elaborate the process of system calibration and spectral preprocessing, also we discuss the significance of optimal band selection, classify the methods of prediction model establishment and evaluation. Then we summarize the domestic and foreign research results of several main indicators of apple grading, the external quality including color, size, slight injury and contamination, and the internal quality including soluble solids content (SSC), firmness and bruise. We illustrate accuracy, modeling methods, research progress of all indicators and express personal comments for the research progress of single indicator. Finally, this article proposes the deficiency, research direction and application prospect of hyperspectral imaging in apple nondestructive detection and grading.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.