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| 1 | Fusion of machine vision technology and AlexNet-CNNs deep learning network for the detection of postharvest apple pesticide residues显示文摘Pesticide residue is an important factor that affects food safety.In order to achieve effective detection of pesticide residues in apples,a machine-vision-based segmentation algorithm and hyperspectral techniques were used to segment the foreground and background regions of the apple image.By calculating the roundness value and extracting the region with the highest roundness value in the connected region,a region of interest(ROI)maskwas created for the apple.Four pesticides(chlorpyrifos,carbendazimand two mixed pesticides)and an inactive control were used at the same concentration of 100 ppm(except for the control group),and the hyperspectral region of the corresponding sample image was extracted by obtaining the different types of pesticide residues in the ROI masks.To increase the diversity of the samples and to expand the dataset,Gaussianwhite noise with a varying signal-to-noise ratio was added to each of the hyperspectral images of the apple.The number of samples was increased from four types of 12 samples to four types of 72 samples,giving 4608 hyperspectral data images in each category.The structure and parameters of a convolutional neural network(CNN)were determined using theoretical analysis and experimental verification.All the extracted hyperspectral images of apples were normalized to 227×227×3 pixels as the input of the CNN network for pesticide residue detection.There were 18,432 sample data of four types for 72 samples.Of these,12,288 images were selected using a bootstrap sampling method as the training set,and 6144 as the test set,with no overlap.The test results showthatwhen the number of training epochswas 10,the accuracy of the test set detectionwas 99.09%,and the detection accuracy of the single-band average imagewas 95.35%.A comparison with traditional k-nearest neighbor(KNN)and support vectormachine classification algorithms showed that the detection accuracy for KNNwas 43.75%and the average time was 0.7645 s.These results demonstrate that our method is a small-sample,noncontact,fast,effective and low-cost technique that can provide effective pesticide residue detection in postharvest apples. | Bo Jiang Jinrong He Shuqin Yang Hongfei Fu Tong Li Huaibo Song Dongjian He | 2019 | Artificial Intelligence in Agriculture2019，，1： | 8 |
| 2 | Determination of the Mark - Houwink equation for chitosans with different degrees of deacetylation 显示文摘 | Wei Wang Shuqin Bo Shuqing Li | 1991 | Int J Biol Macromol1991，13，： | 1 |
| 3 | Involvement of the PI3K/Akt signal pathway in the hypoglycemic effects of tea polysaccharides on diabetic mice显示文摘 | Shuqin Li Haixia Chen Jia Wang Xiuming Wang Bo Hu Funing Lv | 2015 | International Journal of Biological Macromolecule2015，，： | 1 |
| 4 | Determination of molecular weight and molecular sizes of polymers by high temperature gel permeation chromatography with a static and dynamic laser light scattering detector显示文摘 | LIU YONGGANG BO SHUQIN ZHU YEJUAN | 2003 | Polymer2003，44，： | 1 |
| 5 | Determination of the Mark-Houwink equation for chitosans with different degrees of deacetylation显示文摘 | Wei Wang Shuqin Bo Shuqing Li | 1991 | International Journal of Biological Macromolecules1991，13，5： | 1 |
| 6 | Characteriza- tion of the Microstructure of Impact Polypropylene Alloys by Preparative Temperature Rising Elution Fractionation 显示文摘 | Xue Yanhu Fan Yandi Bo Shuqin | 2011 | EurPolymJ2011，47，8： | 1 |
| 7 | Determination of molecular weight and molecular sizes of polymers by high temperature gel permeation chromatography with a static and dynamic laser light scattering detector显示文摘 | LILT Yonggang BO Shuqin ZHU Yejuan | 2003 | Polymer2003，44，23： | 1 |
| 8 | Determination of the Mark- Houwink equation for chitosans with different degrees of deacetylation 显示文摘 | WANG Wei BO Shuqin LI Shuqing | 1991 | Int J Biol Macromol1991，13，5： | 1 |
| 9 | Analysis of meiotic segregation patterns and interchromosomal effects in sperm from a Robertsonian translocation family显示文摘 | Shuqin Xu Dongling Tang Kun Fang Bo Wang | 2014 | Biomedical Research2014，25，2： | 1 |
| 10 | Determination of the Mark-Houwink equation for chitosans with different degrees of deacetylation显示文摘 | Wang Wei Bo Shuqin Li Shuqing | 1991 | International Journal of Biological Macromolecules1991，13，5： | 1 |
| 11 | Application of grey target theory to foreign market entry mode selection显示文摘 | Li Bo Cai Shuqin Liu Biao | 2004 | The Journal of Grey System2004，4，： | 1 |
| 12 | Characterizationof the microstructure of impact polypropylene alloys bypreparative Temperature Rising Elution Fractionation显示文摘 | Xue Yanhu Fan Yandi Bo Shuqin | 2011 | Eur Polym J2011，47，8： | 1 |
| 13 | Studies on theintermolecular structural heterogeneity of a propylene-ethylenerandom copolymer using preparative Temperature RisingElution Fractionation显示文摘 | Liu Yonggang Bo Shuqin Zhu Yejuan | 2005 | Journal of Applied Polymer Science2005，97，1： | 1 |
| 14 | Effects of rainfall intensities and slope gradients on nitrogen loss at the seedling stage of maize(Zea mays L.)in the purple soil regions of China显示文摘Loss of soil nitrogen has been reported to reduce soil productivity and result in eutrophication.The objective of this work was to understand the mechanisms of nitrogen loss at the maize seedling stage from purple soil in the sloping farmlands of southwest China.The characteristics of nitrogen loss were explored in experiments simulating rainfall conditions during the maize seedling stage at different rainfall intensities(60 mm/h,90 mm/h,and 120 mm/h)and slope gradients(10°,15°,and 20°).The results showed that the runoff and sediment yield increased with time.The surface runoff and sediment yield increased with the rainfall intensity and slope gradient.Nitrogen losses increased in the surface runoff and sediment but decreased in the interflow as the rainfall intensity and slope gradient increased.Dissolved total nitrogen(DTN)was the main form of nitrogen in the surface runoff and interflow,and nitrate nitrogen(NO3-N)was the main form of DTN.The surface runoff and sediment accounted for less than half of the TN losses.Thus,interflow was the main pathwayfor nitrogen loss.The regression lines between the surface runoff and forms of nitrogen losses in the runoff and interflow were linear.The results indicated that an increasing rainfall intensity and slope gradient generally increased the surface runoff,sediment,andnitrogen losses.However,the opposite trend was observed for the interflow and its nitrogen losses. | Shuqin He Yuanbo Gong Ziheng Zheng Ziteng Luo Bo Tan Yunqi Zhang | 2022 | International Journal of Agricultural and Biological Engineering2022，15，2： | 0 |
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