An improved YOLOv5s method based bruises detection on apples using cold excitation thermal images

P Lin, H Yang, S Cheng, F Guo, L Wang… - Postharvest Biology and …, 2023 - Elsevier
Bruising is one of the key factors that causes postharvest losses, which decreases the
economic efficiency of fruit. Nevertheless, the detection of bruises still relies mainly on …

Rapid determination of the main components of corn based on near-infrared spectroscopy and a BiPLS-PCA-ELM model

L Xu, J Liu, C Wang, Z Li, D Zhang - Applied optics, 2023 - opg.optica.org
To evaluate corn quality quickly, the feasibility of near-infrared spectroscopy (NIRS) coupled
with chemometrics was analyzed to detect the moisture, oil, protein, and starch content in …

Hyperspectral imaging-based early damage degree representation of apple: a method of correlation coefficient

P Zhang, H Wang, H Ji, Y Li, X Zhang… - Postharvest Biology and …, 2023 - Elsevier
Early damage detection of fruit is a challenge in the postharvest treatment of agricultural
products, especially the lack of early damage degree representation. In this study, the …

Quantitative study on impact damage of yellow peach based on hyperspectral image information combined with spectral information

B Li, F Zhang, Y Liu, H Yin, J Zou, A Ou-yang - Journal of Molecular …, 2023 - Elsevier
Yellow peaches are graded based on their degree of impact damage to reduce economic
losses, and the values of mechanical parameters can be used to characterize the degree of …

Research on the evolutionary of spectral features of the initial damaged parts of'Red Delicious' apples

T Xu, X Xu, X Huang, Y Wang, X Rao - Postharvest Biology and Technology, 2024 - Elsevier
It is crucial for early detection of mechanical damage to improve the quality of commodity
fruit. For the problem of low identification accuracy of damage detection models due to the …

Detection storage time of mild bruise's yellow peaches using the combined hyperspectral imaging and machine learning method

B Li, H Yin, Y Liu, F Zhang, A Yang, C Su… - Journal of Analytical …, 2022 - Springer
To deduce the process of bruise and reduce the number of bruised fruits from the source, the
storage time of yellow peaches after bruise should be identified. In order to distinguish the …

Quantitative study of impact damage on yellow peaches based on reflectance, absorbance and Kubelka–Munk spectral data

B Li, F Zhang, Y Liu, H Yin, J Zou, A Ou-Yang - RSC advances, 2022 - pubs.rsc.org
Impact damage is one of the main forms of damage during the postharvest transportation
and processing of yellow peaches. Thus, a quantitative prediction of the impact damage …

Discrimination of Inner Injury of Korla Fragrant Pear Based on Multi-Electrical Parameters

J An, X Luo, L Xiong, X Tang, H Lan - Foods, 2023 - mdpi.com
Inner-injury fragrant pears are easily prone to rot during storage. Discriminating inner injury
in the Korla fragrant pear from the normal pear is difficult as the flesh may be injured while …

[HTML][HTML] The Use of Machine Learning to Assess the Impact of the Ozonation Process on Selected Mechanical Properties of Japanese Quince Fruits

J Gorzelany, P Kuźniar, M Zardzewiały, K Pentoś… - Agriculture, 2024 - mdpi.com
In this study, selected mechanical properties of fruits of six varieties of Japanese quince
(Chaenomeles japonica) were investigated. The influence of their storage time and the …

Testing the suitability of v-Support Vector Machine for hyperspectral image classification

O Okwuashi, CE Ndehedehe, DN Olayinka… - … Journal of Image and …, 2024 - Taylor & Francis
This research presents the novel application of v-Support Vector Machine (v-SVM) to
hyperspectral image classification. The essence of this work is to test the suitability of v-SVM …