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Full-Text Articles in Food Biotechnology
Detection Of Apple Freshness During Storage Based On Zigbee Network And Pls-Da, Huang Haiyang, Qu Liqiu, Ma Yunlong
Detection Of Apple Freshness During Storage Based On Zigbee Network And Pls-Da, Huang Haiyang, Qu Liqiu, Ma Yunlong
Food and Machinery
[Objective] To address the long detection cycles, complex operation, and destructive sampling in apple freshness detection, a rapid and non-destructive detection method based on Zigbee wireless sensor network and partial least squares-discriminant analysis (PLS-DA) is proposed. [Methods] With Red Fuji apples as the research object, a gas sensor array acquisition system based on the Zigbee protocol is designed to monitor the concentration changes of four characteristic gases (ethanol, ethylene, oxygen, and carbon dioxide) during apple storage in real time. Least squares filtering is employed to preprocess the raw data, and the stable value, mean value, and maximum value are extracted …
Design Of Apple Damage Automatic Detection System Based On Machine Vision, Qin Yinchu, Li Tao, Li Xu, Wang Meiling, Tan Zhiying
Design Of Apple Damage Automatic Detection System Based On Machine Vision, Qin Yinchu, Li Tao, Li Xu, Wang Meiling, Tan Zhiying
Food and Machinery
[Objective] To meet the practical requirements for comprehensive grading based on the appearance quality and size of apples, and to address issues such as low efficiency of manual sorting, complex structure, and high cost of sorting equipment for Chinese apples. [Methods] A YOLOv5s-apple model was proposed. The transformer module and CBAM attention module were introduced into the backbone network, and the weighted Bidirectional feature pyramid network (Bi-FPN) was added to improve the neck network. Then, combined with HALCON software, a self-designed intelligent apple damage detection system was used to carry out damage sorting and size classification. [Results] The experimental results …
Early Spoilage Detection Of Apple Based On Generative Adversarial Network And Mask R-Cnn, Yu Qilong, Zhao Xiaodong, Ji Yu, Wang Chunrong, Sun Yao
Early Spoilage Detection Of Apple Based On Generative Adversarial Network And Mask R-Cnn, Yu Qilong, Zhao Xiaodong, Ji Yu, Wang Chunrong, Sun Yao
Food and Machinery
[Objective] To improve the detection accuracy of early apple spoilage zone. [Methods] An apple spoilage detection method was proposed based on generative adversarial network and convolutional neural network. The Pix2PixHD model was used to generate near-infrared imaging data of stored apples in the early postharvest metamorphic area. The Mask R-CNN model was used to segment the generated near Infrared image to detect the deterioration zone in the apple. Based on generative adversarial network and convolutional neural network technology, the early deterioration region segmentation and prediction of postharvest apples were implemented by using the generated near-infrared imaging data on a low-cost …
Effects Of Pre-Freezing And Sucrose Impregnation Methods On The Quality Of Freeze-Dried Apple Slices, Guo Ziyu, Hu Jiaqi, Yang Feifei, Liu Wuyi, Wang Haiou
Effects Of Pre-Freezing And Sucrose Impregnation Methods On The Quality Of Freeze-Dried Apple Slices, Guo Ziyu, Hu Jiaqi, Yang Feifei, Liu Wuyi, Wang Haiou
Food and Machinery
[Objective] This study aimed to investigate the effects of two pre-freezing methods (vacuum freezing and atmospheric pressure freezing) and two dipping methods (sucrose impregnation before pre-freezing and sucrose impregnation during freeze-drying) on the quality of freeze-dried apple slices. [Methods] The freeze-drying process was divided into six groups: vacuum pre-freezing without sucrose immersion (VFFD), atmospheric pre-freezing without sucrose immersion (CFFD), vacuum pre-freezing with sucrose immersion (BSVFFD), vacuum pre-freezing with sucrose immersion (MSVFFD), atmospheric pre-freezing with sucrose immersion (BSCFFD) and atmospheric pre-freezing with sucrose immersion (MSCFFD). The main quality indexes of freeze-dried apple slices in each group were analyzed. [Results] The color …
A Red Fuji Apple Appearance Grading Method Based On Improved Whale Optimization Algorithm And Cnn, Liu Sujiao, Lu Mingxing, Wang Chunfang, Zhao Zifeng, Liu Yi
A Red Fuji Apple Appearance Grading Method Based On Improved Whale Optimization Algorithm And Cnn, Liu Sujiao, Lu Mingxing, Wang Chunfang, Zhao Zifeng, Liu Yi
Food and Machinery
Objective: In order to improve the accuracy of machine vision technology in grading the appearance quality of red Fuji apples, a red Fuji apple appearance grading method based on improved whale optimization algorithm （WOA） and CNN is proposed. Methods: A red Fuji apple image database with different appearance quality levels was established, and the database images were preprocessed so as to improve the training effect and generalization ability of the model. The improved CNN-LSTM was designed as the weighted grey correlation method was used to compress the CNN convolution scale, in order to reduce redundant interference between features and improve …
Apple Weight Estimation Based On Joint Image Optimal Feature Extraction And Improved Rbf Neural Network, Zhao Min, Wang Chengrong, Li Run
Apple Weight Estimation Based On Joint Image Optimal Feature Extraction And Improved Rbf Neural Network, Zhao Min, Wang Chengrong, Li Run
Food and Machinery
Objective: Taking Aksu apples as an example, a joint image optimal feature extraction and improved RBF neural network learning apple weight estimation method is designed to overcome the high cost and large error of manual grading and weighing. Methods: Firstly, an apple image acquisition system was established to obtain apple foreground image information. Secondly, the optimal subset extraction strategy for apple image feature sets was designed, by transforming the process of extracting the optimal subset into an objective function optimization problem, and an improved discrete locust optimization algorithm was designed to obtain the optimal apple image feature subset. Finally, a …
Simulation And Analysis Of Forced Air Precooling Performance Of Apples With Different Fruit Diameters, Tian Jinjin, Gu Xudong, Zhang Zhe, Zhu Zhiqiang, Ji Xian
Simulation And Analysis Of Forced Air Precooling Performance Of Apples With Different Fruit Diameters, Tian Jinjin, Gu Xudong, Zhang Zhe, Zhu Zhiqiang, Ji Xian
Food and Machinery
Objective: To analyze the effect of apples of different fruit diameters on differential pressure precooling under the same box. Methods: Based on the spherical analogy model and heat transfer theory, the CFD unsteady SST k-ω turbulence model was used to numerically simulate the differential pressure precooling of apples with different air supply air speed, temperature, box opening size and fruit diameter, and three different working conditions were selected for accuracy. The simulation scheme of mixed orthogonal test was used to discuss the effects of different factors and different fruit diameters on the cooling rate and pre-cooling uniformity. Results: …
Apple Classification Based On Multi-Information Fusion And Da-Dbn, Chen Haixia, Jia Zhijuan, Zhao Yunping
Apple Classification Based On Multi-Information Fusion And Da-Dbn, Chen Haixia, Jia Zhijuan, Zhao Yunping
Food and Machinery
Objective: In order to improve the precision of apple grade judgment model, the method of apple grade judgment was established. Methods: A decision model of apple rank based on multi-information fusion and dragonfly algorithm was proposed. Firstly, the HSV color feature, LBP texture feature and HOG shape feature of apple image were extracted by pre-processing such as data enhancement, normalization, Gauss filter and grayscale. Secondly, the performance of DBN model was affected by the selection of parameters, the network parameters of DBN model were optimized by DA algorithm, and a multi-information fusion and DA-DBN model for determining apple rank wws …
Research On Apple Defect Detection Method Based On Improved Cnn, Du Guo-Zhen, Lu Ming-Xing, Ji Ze-Xu, Liu Ji-Chao
Research On Apple Defect Detection Method Based On Improved Cnn, Du Guo-Zhen, Lu Ming-Xing, Ji Ze-Xu, Liu Ji-Chao
Food and Machinery
Objective: To solve the problems of low accuracy and poor efficiency in existing apple defect detection methods. Methods: Based on a fruit image acquisition system, an improved convolutional neural network was proposed for detecting surface defects in apples. Deep separable convolution was Introduced to replace the original network standard convolution, to improve the speed of feature extraction. The Leaky ReLU activation function was introduced to replace the ReLU activation function to improve the calculation efficiency and accuracy. Global average pooling was introduced to replace the fully connected layer, to reduce the computational complexity of the network model. After each layer …
Apple Surface Defect Detection Based On Improved Cnn And Data Augmentation, Pi Wei, Qu Xilong, Wang Shaocheng, Li Qingchun
Apple Surface Defect Detection Based On Improved Cnn And Data Augmentation, Pi Wei, Qu Xilong, Wang Shaocheng, Li Qingchun
Food and Machinery
Objective: Improve the detection accuracy and efficiency of apple surface defects. Methods: An detection method for apple surface defects was established based on an improved convolutional neural network (CNN) and data augmentation method. Firstly, the classical CNN was improved to detect apple surface defects. Then, using the conditional generation adversarial network, the image data of surface defect free and defective apples was augmented with synthetic apple images to improve the detection performance of the improved CNN for apple surface defects. Finally, by pruning the CNN model, the detection accuracy, detection speed and energy saving limits of apple surface defects were …
Study On Process Optimization And Antioxidant Properties Of Passion Fruit And Apple Compound Fermented Milk Beverage, Jia Qing-Chao
Study On Process Optimization And Antioxidant Properties Of Passion Fruit And Apple Compound Fermented Milk Beverage, Jia Qing-Chao
Food and Machinery
Objective: Using passion fruit, apple and pure milk as raw materials, the optimum preparation technology and antioxidant activity of passion fruit apple flavor fermented milk were studied. Methods: Taking sensory evaluation and protein content as indicators, the effects of apple juice addition, passion fruit juice addition, sucrose addition, fermentation time and starter inoculation on sensory quality of passion fruit apple flavor fermented milk were studied by single factor test using fuzzy mathematics evaluation method. The fermentation process conditions of passion fruit apple flavor fermented milk were optimized by response surface methodology, and the antioxidant activity and various indexes of fermented …
Prediction Of Apple Sugar Content Based On Correlation Of Characteristic Gray Series In Darkroom System, Ma Cheng-Tong, Li Jun-Wen, Ouyang Hao-Yi, Tan Sui-Yan, Yang Chu-Ping
Prediction Of Apple Sugar Content Based On Correlation Of Characteristic Gray Series In Darkroom System, Ma Cheng-Tong, Li Jun-Wen, Ouyang Hao-Yi, Tan Sui-Yan, Yang Chu-Ping
Food and Machinery
Objective:In order to realize the detection of apple sugar content, a nondestructive prediction method of apple sugar content based on the characteristic gray series of apple reflection spot image in darkroom system is proposed. Methods:The laser with the peak wavelength of 670 nm absorbed by the apple was used as the illumination light source, which was incident from the illumination port of the integrating sphere. The apple sample was placed at the sample port of the integrating sphere, and the reflection spot of the apple sample was obtained at the measuring port of the integrating sphere. Through the …
Evaluation Of Uncertainty In Determination Of Five Kinds Of Carbamate Pesticide Residues In Apple By Liquid Chromatography-Post-Column Derivatization, Yu Xing, Chang Wei, Wang Yong-Lin, Yao Zeng
Evaluation Of Uncertainty In Determination Of Five Kinds Of Carbamate Pesticide Residues In Apple By Liquid Chromatography-Post-Column Derivatization, Yu Xing, Chang Wei, Wang Yong-Lin, Yao Zeng
Food and Machinery
Objective: This study aimed to analyze the accuracy of determination results of five kinds of carbamate pesticide residues in apple. Methods: Five kinds of carbamate pesticide residues in apples were detected according to NY/T 761—2008, and the uncertainty of the determination process was evaluated and analyzed. Results: The contents of carbosulfur, methomyl, 3-hydroxycarbamate, aldicarb and isoprocarb in apples are expressed in the form of expanded uncertainty as (0.105 7±0.007 8), (0.107 7±0.006 2), (0.109 2±0.005 8), (0.103 9±0.008 4), (0.106 1±0.007 6) mg/kg (k=2). Conclusion: The main sources of uncertainty in the experiment are standard material, …
Effects Of Different Processing Parameters On The Color Protecting Of Candied Apple, Li Feng-Xia, Lei Qing-Yu, Sheng Hong-Ye, Huang Yu-Xin, Zhang Jiao-Jiao, Hu Yuan-Qing, Chen Ting-Yan
Effects Of Different Processing Parameters On The Color Protecting Of Candied Apple, Li Feng-Xia, Lei Qing-Yu, Sheng Hong-Ye, Huang Yu-Xin, Zhang Jiao-Jiao, Hu Yuan-Qing, Chen Ting-Yan
Food and Machinery
The effects of color protection to candied apple under different processing parameters were studied by using Shangdong red Fuji as raw material. Sensory evaluation and brightness (L value) and browning degree were used as evaluation indexes, and the effects of slice thickness, phytic acid concentration, microwave blanching power, microwave blanching time, hot air drying temperature and drying time on the color protection effect of candied apple were analyzed by single factor experiment. Moreover, the storage of phytic acid and other color-protecting agents were compared in order to obtain the best conditions for candied apple color protection. The results showed that …
An Apple Quality Grading System Based On Motion Controller, Wu Xiaoqiang, Huang Yunzhan, Zhao Yongjie
An Apple Quality Grading System Based On Motion Controller, Wu Xiaoqiang, Huang Yunzhan, Zhao Yongjie
Food and Machinery
A kind of apple quality grading system is designed based on motion controller and machine vision system, the system includes the detection module, image acquisition and processing module motion control module and execution module and other components. The operation is simple and accuracy is high, and it can realize the automation of apple quality grading, improve the labor efficiency. The non-contact structure is applied, the structure can overcome the previous mechanical damage caused by the contact of apple. It can ensure the quality after the apple classification. Research shows that this system is high reliability, good openness, grading error less …