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Full-Text Articles in Agriculture
Identification Of Fig Maturity Based On Near-Infrared Spectroscopy And Partial Least Square-Discriminant Analysis, Jing-Yu Zhou, Rui Sun, Duo Yu, Yu-Xuan Lv, Yan-Ling Han
Identification Of Fig Maturity Based On Near-Infrared Spectroscopy And Partial Least Square-Discriminant Analysis, Jing-Yu Zhou, Rui Sun, Duo Yu, Yu-Xuan Lv, Yan-Ling Han
Food and Machinery
In order to distinguish figs of different maturity accurately and quickly without damage, the samples of figs were collected by near-infrared spectroscopy, and K-means clustering was carried out for five indexes of fig sugar degree, single fruit weight, vertical diameter, horizontal diameter and hardness. According to the spectral data and the score chart of principal component analysis, the components of the optimal clustering effect and the index distribution of each category were determined. Based on the PLS-DA model, the cluster discrimination model was constructed to achieve the purpose of fruit maturity classification. Through the analysis of the differences of the …
Automatic Classification Of Banana Ripeness Based On Deep Learning, Wang Ling-Min, Jiang Yu
Automatic Classification Of Banana Ripeness Based On Deep Learning, Wang Ling-Min, Jiang Yu
Food and Machinery
Objective: To classify banana ripeness quickly and accurately. Methods: Collect the bananas images of different maturity and establish gallery, using a variety of different neural networks as a classifier, banana feature extracting by migration study classifying banana six maturity level, access to the most suitable for banana maturity classification network model, network model, based on the improved and easily banana maturity real-time detection interface design, Finally, the feasibility and practicability of the model were verified. Results: AlexNet model was most suitable for banana maturity classification with the highest accuracy of 95.56%. AlexNet model was improved by modifying …
Research On Tomato Maturity Detection Method Based On Machine Vision And Electronic Nose Fusion, Wang Jun-Ping, Xu Gang
Research On Tomato Maturity Detection Method Based On Machine Vision And Electronic Nose Fusion, Wang Jun-Ping, Xu Gang
Food and Machinery
Objective:To explore the application ability of machine vision and electronic nose fusion method in fruit and vegetable maturity detection, and realize the detection of different maturity of tomato.Methods:Based on machine vision and electronic nose acquisition system, a tomato maturity detection method based on multi-source information fusion was proposed. Based on 6 color features screened by machine vision and 10 odor features screened by electronic nose, the least squares support vector machine model for tomato maturity detection was established. The feasibility of this method is verified by comparing the fusion method with single method.Results:Compared with the …
Effects Of Low Temperature And Low Voltage Electrostatic Field Treatment Combined With Microporous Pe Film Packaging On Storage Quality Of Different Maturity Lingwu Long Jujube, Yang Ya-Li, Liu Hui-Yan, Fang Hai-Tian, Zhang Hao-Yu, Li Jin-Na, Zhang Guang-Di
Effects Of Low Temperature And Low Voltage Electrostatic Field Treatment Combined With Microporous Pe Film Packaging On Storage Quality Of Different Maturity Lingwu Long Jujube, Yang Ya-Li, Liu Hui-Yan, Fang Hai-Tian, Zhang Hao-Yu, Li Jin-Na, Zhang Guang-Di
Food and Machinery
Lingwu long jujube with different maturity levels (semi-red period, 2/3 red period and full red period) as research material, the method of low temperature and low voltage electrostatic field combined with PE film bag was used to.preserve the freshness of the jujube fruits. During the storage period, the changes of physical and chemical properties of Lingwu long jujube fruits such as ascorbic acid (VC), total acid (TA), soluble solids (TSS), hardness and weightlessness rate, and sensory evaluation were investigated. As results, Lingwu long jujube fruits in full red and half-red periods had a shorter fresh-keeping period, with a faster softening …