Detection of external insect infestations in jujube fruit using hyperspectral reflectance imaging

Detection of cold injury in peaches by hyperspectral reflectance imaging and artificial neural network

“…Hyperspectral imaging can be acquired by various detection modes, such as reflectance, interactance and transmittance, according to the specific object and purpose. In spite of the limitations that it only renders surface or subsurface information, reflectance is the most-used model to detect various quality parameters, including internal or external defects of agricultural products (Wang et al, 2011;Huang & Lu, 2010;Chen, Zhang, Zhao, & Hui, 2013;Leiva-Valenzuela et al, 2014;, as it is less likely affected by such factors as geometry and size, or structures like pit and calyx. Artificial neural network (ANN) is a type of supervised learning network, used widely for prediction and classification.…”

Non‐destructive classification of apple bruising time based on visible and near‐infrared hyperspectral imaging

“…Furthermore, internal apple quality is detected and analyzed on the basis of chemical methods which may contaminate and damage the fruit, and the reagents used will also cause a pollution problem . In recent years, many non‐destructive techniques such as machine vision, X‐ray imaging and thermal imaging systems have been presented and widely used for apple bruising detection to obtain bruise information . However, slight bruises and their bruising times are difficult to distinguish by image processing technology owing to the complex background and large discrepancy of the surface color.…”

A Method for Rapid Identification of Rice Origin by Hyperspectral Imaging Technology

“…Recently, hyperspectral imaging technique has been successfully applied in detection of maize seeds, banana fruit quality and maturity stages, gelatin adulteration in prawn and external insect infestations in jujube fruit (Wang et al . ; Rajkumar et al . ; Zhang et al .…”