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You searched for: Author "Dapeng Ye" Remove constraint Author: "Dapeng Ye"
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1. Combining multicolor fluorescence imaging with multispectral reflectance imaging for rapid citrus Huanglongbing detection based on lightweight convolutional neural network using a handheld device

Author:
Dapeng Ye,   et al.   ; Chengcheng He; Xiaobin Li; Yunshi Liu; Biyun Yang; Zhiwei Wu; Shipei Tan; Haiyong Weng;     Show all 8 Authors
Source:
Computers and electronics in agriculture 2022 v.194 pp. 106808
ISSN:
0168-1699
Subject:
Citrus sinensis; agriculture; cultivars; data collection; disease detection; electronics; fluorescence; greening disease; neural networks; orchards; photosynthesis; rapid methods; reflectance; secondary metabolites
Abstract:
... Citrus Huanglongbing (HLB) has posed a great challenge to the citrus production. Timely removal of HLB infected trees was considered as one of the most effective strategies for citrus orchard management. Therefore, rapid detection of HLB disease is urgently needed. The study was aimed to propose an effective method for HLB disease detection by developing a handheld device to capture multicolor flu ...
DOI:
10.1016/j.compag.2022.106808

2. Citrus Huanglongbing detection and semi-quantification of the carbohydrate concentration based on micro-FTIR spectroscopy

Author:
Dapeng Ye,   et al.   ; Biyun Yang; Xiaobin Li; Lianwei Wu; Yayong Chen; Fenglin Zhong; Yunshi Liu; Fei Zhao; Haiyong Weng;     Show all 9 Authors
Source:
Analytical and bioanalytical chemistry 2022 v.414 no.23 pp. 6881-6897
ISSN:
1618-2642
Subject:
Citrus; Fourier transform infrared spectroscopy; chemometrics; greening disease; microscopy; models; phloem; prediction; starch; statistical analysis; sugars; support vector machines; trees
Abstract:
... Citrus Huanglongbing (HLB) is nowadays one of the most fatal citrus diseases worldwide. Once the citrus tree is infected by the HLB disease, the biochemistry of the phloem region in midribs would change. In order to investigate the carbohydrate changes in phloem region of citrus midrib, the semi-quantification models were established to predict the carbohydrate concentration in it based on Fourier ...
DOI:
10.1007/s00216-022-04254-6

3. Research on Citrus grandis Granulation Determination Based on Hyperspectral Imaging through Deep Learning

Author:
Dapeng Ye,   et al.   ; Dengfei Jie; Shuang Wu; Ping Wang; Yan Li; Xuan Wei;     Show all 6 Authors
Source:
Food analytical methods 2021 v.14 no.2 pp. 280-289
ISSN:
1936-9751
Subject:
Citrus maxima; citrus fruits; equipment; fruit quality; models; postharvest storage; support vector machines; wavelengths
Abstract:
... Citrus fruit granulation is a major physical disorder during late maturity and post-harvest storage, and it greatly undermines the quality of fruit. Currently, there is still a lack of rapid and nondestructive methods to detect citrus granulation. This study proposes a nondestructive granulation detecting method based on deep learning. Different models were established with the input of preprocess ...
DOI:
10.1007/s12161-020-01873-6

4. Pt/(InGa)₂O₃/n-Si Heterojunction-Based Solar-Blind Ultraviolet Photovoltaic Detectors with an Ideal Absorption Cutoff Edge of 280 nm

Author:
Dapeng Ye,   et al.   ; Zhao Wang; Wei Zheng; Qichang Hu; Shiyan Lin; Yibing Wu;     Show all 6 Authors
Source:
ACS applied materials & interfaces 2021 v.13 no.37 pp. 44568-44576
ISSN:
1944-8252
Subject:
absorption; electric potential difference; ultraviolet radiation; wavelengths
Abstract:
... Ga₂O₃ is a popular material for research on solar-blind ultraviolet detectors. However, its absorption cutoff edge is 253 nm, which is not an ideal cutoff edge of 280 nm. In this work, by adjusting the ratio of In/Ga elements in the films, a high-quality (In₀.₁₁Ga₀.₈₉)₂O₃ film with an absorption cutoff edge of 280 nm was obtained, which owns a uniform surface and preferred orientation. On this bas ...
DOI:
10.1021/acsami.1c13006

5. Multicolor Fluorescence Imaging for the Early Detection of Salt Stress in Arabidopsis

Author:
Dapeng Ye,   et al.   ; Ya Tian; Limin Xie; Mingyang Wu; Biyun Yang; Captoline Ishimwe; Haiyong Weng;     Show all 7 Authors
Source:
Agronomy 2021 v.11 no.12 pp. -
ISSN:
2073-4395
Subject:
Arabidopsis; agronomy; cameras; computers; fluorescence; light emitting diodes; metabolism; models; phenotype; principal component analysis; salt stress; support vector machines
Abstract:
... Salt stress is one of the abiotic factors that causes adverse effects in plants and there is an urgent need to detect salt stress in plants as early as possible. Multicolor fluorescence imaging, as a powerful tool in plant phenotyping, can provide information about primary and secondary metabolism in plants to detect the responses of the plants exposed to stress in the early stage. The purpose of ...
DOI:
10.3390/agronomy11122577

6. Improved generalization of spectral models associated with Vis-NIR spectroscopy for determining the moisture content of different tea leaves

Author:
Dapeng Ye,   et al.   ; Zhenxiong Huang; Alireza Sanaeifar; Ya Tian; Lang Liu; Dongyi Zhang; Hui Wang; Xiaoli Li;     Show all 8 Authors
Source:
Journal of food engineering 2021 v.293 pp. 110374
ISSN:
0260-8774
Subject:
algorithms; hydrogen; industrial applications; models; prediction; quality control; rapid methods; spectral analysis; spectroscopy; tea; water content
Abstract:
... Rapid nondestructive determination of the moisture content of tea leaves is the basis of intelligent control in tea processing. Visible and near infrared (Vis/NIR) spectroscopy can detect the fundamental vibrations of hydrogen group (O–H) in the organic molecules, and has become one of the most commonly used methods for rapid determination of the moisture content of tea leaves. However, the establ ...
DOI:
10.1016/j.jfoodeng.2020.110374

7. Citrus Huanglongbing detection based on polyphasic chlorophyll a fluorescence coupled with machine learning and model transfer in two citrus cultivars

Author:
Dapeng Ye,   et al.   ; Haiyong Weng; Yunshi Liu; Ishimwe Captoline; Xiaobin Li; Renye Wu;     Show all 6 Authors
Source:
Computers and electronics in agriculture 2021 v.187 pp. 106289
ISSN:
0168-1699
Subject:
Citrus sinensis; Satsuma; agriculture; chlorophyll; cultivars; disease severity; electronics; fluorescence; greening disease; humans; industry; magnesium; models; oxygen evolving complex; principal component analysis; support vector machines
Abstract:
... Citrus Huanglongbing (HLB) is regarded as the most severe disease threading the citrus industry. The basic aim of this study was to assess the changes of structure and functionality of the photosynthetic machinery induced by HLB and establish a discriminant model for rapid HLB detection using structural and functional features of photosynthesis system. Polyphasic chlorophyll a fluorescence transie ...
DOI:
10.1016/j.compag.2021.106289

8. Simultaneous determination of six main types of lipid-soluble pigments in green tea by visible and near-infrared spectroscopy

Author:
Dapeng Ye,   et al.   ; Xiaoli Li; Juanjuan Jin; Chanjun Sun; Yufei Liu;     Show all 5 Authors
Source:
Food chemistry 2019 v.270 pp. 236-242
ISSN:
0308-8146
Subject:
chemometrics; color; green tea; high performance liquid chromatography; models; near-infrared spectroscopy; pigments; regression analysis; wavelengths
Abstract:
... Lipid-soluble pigments make great contributions to the color of green tea. This study aimed to rapidly and simultaneously measure six main types of lipid-soluble pigments in green tea by using the visible and near-infrared (Vis-NIR) spectroscopy. A total of 135 tea samples with five kinds and three grades were collected for spectral scanning and color measurement, and their lipid-soluble pigments ...
DOI:
10.1016/j.foodchem.2018.07.039