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For: Yang X, Hong H, You Z, Cheng F. Spectral and Image Integrated Analysis of Hyperspectral Data for Waxy Corn Seed Variety Classification. Sensors (Basel) 2015;15:15578-94. [PMID: 26140347 DOI: 10.3390/s150715578] [Citation(s) in RCA: 62] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/05/2015] [Revised: 06/25/2015] [Accepted: 06/26/2015] [Indexed: 11/17/2022]
Number Cited by Other Article(s)
1
Jeong SW, Lyu JI, Jeong H, Baek J, Moon JK, Lee C, Choi MG, Kim KH, Park YI. SUnSeT: spectral unmixing of hyperspectral images for phenotyping soybean seed traits. PLANT CELL REPORTS 2024;43:164. [PMID: 38852113 PMCID: PMC11162974 DOI: 10.1007/s00299-024-03249-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/03/2024] [Accepted: 05/06/2024] [Indexed: 06/10/2024]
2
Hwang J, Choi KO, Jeong S, Lee S. Machine learning identification of edible vegetable oils from fatty acid compositions and hyperspectral images. Curr Res Food Sci 2024;8:100742. [PMID: 38708100 PMCID: PMC11066601 DOI: 10.1016/j.crfs.2024.100742] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Revised: 04/05/2024] [Accepted: 04/17/2024] [Indexed: 05/07/2024]  Open
3
Isik H, Tasdemir S, Taspinar YS, Kursun R, Cinar I, Yasar A, Yasin ET, Koklu M. Maize seeds forecasting with hybrid directional and bi-directional long short-term memory models. Food Sci Nutr 2024;12:786-803. [PMID: 38370035 PMCID: PMC10867492 DOI: 10.1002/fsn3.3783] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 10/05/2023] [Accepted: 10/06/2023] [Indexed: 02/20/2024]  Open
4
Franco C, Osorio M, Peyre G. Automatic seed classification for four páramo plant species by neural networks and optic RGB images. NEOTROPICAL BIODIVERSITY 2023. [DOI: 10.1080/23766808.2022.2161243] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]  Open
5
Weng S, Ma J, Tao W, Tan Y, Pan M, Zhang Z, Huang L, Zheng L, Zhao J. Drought stress identification of tomato plant using multi-features of hyperspectral imaging and subsample fusion. FRONTIERS IN PLANT SCIENCE 2023;14:1073530. [PMID: 36925753 PMCID: PMC10011179 DOI: 10.3389/fpls.2023.1073530] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Accepted: 02/14/2023] [Indexed: 06/18/2023]
6
Avuçlu E, Taşdemir Ş, Köklü M. A new hybrid model for classification of corn using morphological properties. Eur Food Res Technol 2022. [DOI: 10.1007/s00217-022-04181-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
7
Xu Y, Wu W, Chen Y, Zhang T, Tu K, Hao Y, Cao H, Dong X, Sun Q. Hyperspectral imaging with machine learning for non-destructive classification of Astragalus membranaceus var. mongholicus, Astragalus membranaceus, and similar seeds. FRONTIERS IN PLANT SCIENCE 2022;13:1031849. [PMID: 36523615 PMCID: PMC9745075 DOI: 10.3389/fpls.2022.1031849] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Accepted: 11/08/2022] [Indexed: 06/17/2023]
8
Kabir MH, Guindo ML, Chen R, Liu F, Luo X, Kong W. Deep Learning Combined with Hyperspectral Imaging Technology for Variety Discrimination of Fritillaria thunbergii. MOLECULES (BASEL, SWITZERLAND) 2022;27:molecules27186042. [PMID: 36144775 PMCID: PMC9501738 DOI: 10.3390/molecules27186042] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Revised: 09/09/2022] [Accepted: 09/12/2022] [Indexed: 11/19/2022]
9
Tu K, Wen S, Cheng Y, Xu Y, Pan T, Hou H, Gu R, Wang J, Wang F, Sun Q. A model for genuineness detection in genetically and phenotypically similar maize variety seeds based on hyperspectral imaging and machine learning. PLANT METHODS 2022;18:81. [PMID: 35690826 PMCID: PMC9188178 DOI: 10.1186/s13007-022-00918-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Accepted: 05/31/2022] [Indexed: 05/24/2023]
10
Zhang J, Wang Z, Qu M, Cheng F. Research on physicochemical properties, microscopic characterization and detection of different freezing-damaged corn seeds. Food Chem X 2022;14:100338. [PMID: 35634222 PMCID: PMC9133772 DOI: 10.1016/j.fochx.2022.100338] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2021] [Revised: 04/19/2022] [Accepted: 05/18/2022] [Indexed: 11/28/2022]  Open
11
Applications of machine learning in pine nuts classification. Sci Rep 2022;12:8799. [PMID: 35614118 PMCID: PMC9132955 DOI: 10.1038/s41598-022-12754-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Accepted: 05/16/2022] [Indexed: 11/09/2022]  Open
12
Liu Q, Wang Z, Long Y, Zhang C, Fan S, Huang W. Variety classification of coated maize seeds based on Raman hyperspectral imaging. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2022;270:120772. [PMID: 34973616 DOI: 10.1016/j.saa.2021.120772] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Revised: 11/18/2021] [Accepted: 12/13/2021] [Indexed: 05/27/2023]
13
Gao T, Chandran AKN, Paul P, Walia H, Yu H. HyperSeed: An End-to-End Method to Process Hyperspectral Images of Seeds. SENSORS (BASEL, SWITZERLAND) 2021;21:8184. [PMID: 34960287 PMCID: PMC8703337 DOI: 10.3390/s21248184] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Revised: 11/27/2021] [Accepted: 12/04/2021] [Indexed: 01/04/2023]
14
Hu Q, Zhang Y, Ma R, An J, Huang W, Wu Y, Hou J, Zhang D, Lin F, Xu R, Sun Q, Sun L. Genetic dissection of seed appearance quality using recombinant inbred lines in soybean. MOLECULAR BREEDING : NEW STRATEGIES IN PLANT IMPROVEMENT 2021;41:72. [PMID: 37309518 PMCID: PMC10236129 DOI: 10.1007/s11032-021-01262-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Accepted: 11/01/2021] [Indexed: 06/14/2023]
15
Zhang J, Xu B, Wang Z, Cheng F. Application of hyperspectral imaging in the detection of aflatoxin B1 on corn seed. JOURNAL OF FOOD MEASUREMENT AND CHARACTERIZATION 2021. [DOI: 10.1007/s11694-021-01171-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
16
Zhou Q, Huang W, Tian X, Yang Y, Liang D. Identification of the variety of maize seeds based on hyperspectral images coupled with convolutional neural networks and subregional voting. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE 2021;101:4532-4542. [PMID: 33452811 DOI: 10.1002/jsfa.11095] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Revised: 01/08/2021] [Accepted: 01/16/2021] [Indexed: 06/12/2023]
17
Rathna Priya TS, Manickavasagan A. Characterising corn grain using infrared imaging and spectroscopic techniques: a review. JOURNAL OF FOOD MEASUREMENT AND CHARACTERIZATION 2021. [DOI: 10.1007/s11694-021-00898-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
18
Li FL, Xie J, Wang S, Wang Y, Xu CH. Direct qualitative and quantitative determination methodology for massive screening of DON in wheat flour based on multi-molecular infrared spectroscopy (MM-IR) with 2T-2DCOS. Talanta 2021;234:122653. [PMID: 34364462 DOI: 10.1016/j.talanta.2021.122653] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Revised: 06/21/2021] [Accepted: 06/22/2021] [Indexed: 12/20/2022]
19
Liu W, Zeng S, Wu G, Li H, Chen F. Rice Seed Purity Identification Technology Using Hyperspectral Image with LASSO Logistic Regression Model. SENSORS (BASEL, SWITZERLAND) 2021;21:4384. [PMID: 34206783 PMCID: PMC8271842 DOI: 10.3390/s21134384] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/29/2021] [Revised: 06/22/2021] [Accepted: 06/24/2021] [Indexed: 11/25/2022]
20
Feng L, Wu B, Zhu S, He Y, Zhang C. Application of Visible/Infrared Spectroscopy and Hyperspectral Imaging With Machine Learning Techniques for Identifying Food Varieties and Geographical Origins. Front Nutr 2021;8:680357. [PMID: 34222304 PMCID: PMC8247466 DOI: 10.3389/fnut.2021.680357] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2021] [Accepted: 05/25/2021] [Indexed: 01/25/2023]  Open
21
Discrimination of Waxy Wheats Using Near-Infrared Hyperspectral Spectroscopy. FOOD ANAL METHOD 2021. [DOI: 10.1007/s12161-021-02008-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
22
Li Y, Al-Sarayreh M, Irie K, Hackell D, Bourdot G, Reis MM, Ghamkhar K. Identification of Weeds Based on Hyperspectral Imaging and Machine Learning. FRONTIERS IN PLANT SCIENCE 2021;11:611622. [PMID: 33569069 PMCID: PMC7868399 DOI: 10.3389/fpls.2020.611622] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Accepted: 12/30/2020] [Indexed: 06/12/2023]
23
Bantan RAR, Ali A, Naeem S, Jamal F, Elgarhy M, Chesneau C. Discrimination of sunflower seeds using multispectral and texture dataset in combination with region selection and supervised classification methods. CHAOS (WOODBURY, N.Y.) 2020;30:113142. [PMID: 33261340 DOI: 10.1063/5.0024017] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/06/2020] [Accepted: 10/14/2020] [Indexed: 06/12/2023]
24
Identification of Corn Seeds with Different Freezing Damage Degree Based on Hyperspectral Reflectance Imaging and Deep Learning Method. FOOD ANAL METHOD 2020. [DOI: 10.1007/s12161-020-01871-8] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
25
Corn seed variety classification based on hyperspectral reflectance imaging and deep convolutional neural network. JOURNAL OF FOOD MEASUREMENT AND CHARACTERIZATION 2020. [DOI: 10.1007/s11694-020-00646-3] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
26
Li H, Jiang D, Cao J, Zhang D. Near-Infrared Spectroscopy Coupled Chemometric Algorithms for Rapid Origin Identification and Lipid Content Detection of Pinus Koraiensis Seeds. SENSORS (BASEL, SWITZERLAND) 2020;20:s20174905. [PMID: 32872634 PMCID: PMC7506848 DOI: 10.3390/s20174905] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/02/2020] [Revised: 08/26/2020] [Accepted: 08/28/2020] [Indexed: 06/11/2023]
27
Non-Destructive Identification and Estimation of Granulation in Honey Pomelo Using Visible and Near-Infrared Transmittance Spectroscopy Combined with Machine Vision Technology. APPLIED SCIENCES-BASEL 2020. [DOI: 10.3390/app10165399] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
28
Zhang D, Chen G, Zhang H, Jin N, Gu C, Weng S, Wang Q, Chen Y. Integration of spectroscopy and image for identifying fusarium damage in wheat kernels. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2020;236:118344. [PMID: 32330824 DOI: 10.1016/j.saa.2020.118344] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/02/2019] [Revised: 03/26/2020] [Accepted: 04/05/2020] [Indexed: 05/20/2023]
29
Zhao J, Fang Y, Chu G, Yan H, Hu L, Huang L. Identification of Leaf-Scale Wheat Powdery Mildew (Blumeria graminis f. sp. Tritici) Combining Hyperspectral Imaging and an SVM Classifier. PLANTS 2020;9:plants9080936. [PMID: 32722022 PMCID: PMC7464903 DOI: 10.3390/plants9080936] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/24/2020] [Revised: 07/13/2020] [Accepted: 07/22/2020] [Indexed: 11/20/2022]
30
Liu J, Liu S, Shi T, Wang X, Chen Y, Liu F, Men H. A modified feature fusion method for distinguishing seed strains using hyperspectral data. INTERNATIONAL JOURNAL OF FOOD ENGINEERING 2020. [DOI: 10.1515/ijfe-2019-0362] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
31
Bai X, Zhang C, Xiao Q, He Y, Bao Y. Application of near-infrared hyperspectral imaging to identify a variety of silage maize seeds and common maize seeds. RSC Adv 2020;10:11707-11715. [PMID: 35496579 PMCID: PMC9050551 DOI: 10.1039/c9ra11047j] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2019] [Accepted: 03/02/2020] [Indexed: 11/21/2022]  Open
32
Hruska Z, Yao H, Kincaid R, Tao F, Brown RL, Cleveland TE, Rajasekaran K, Bhatnagar D. Spectral-Based Screening Approach Evaluating Two Specific Maize Lines With Divergent Resistance to Invasion by Aflatoxigenic Fungi. Front Microbiol 2020;10:3152. [PMID: 32038584 PMCID: PMC6988685 DOI: 10.3389/fmicb.2019.03152] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2019] [Accepted: 12/29/2019] [Indexed: 11/13/2022]  Open
33
Femenias A, Gatius F, Ramos AJ, Sanchis V, Marín S. Use of hyperspectral imaging as a tool for Fusarium and deoxynivalenol risk management in cereals: A review. Food Control 2020. [DOI: 10.1016/j.foodcont.2019.106819] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
34
Zhu S, Zhang J, Chao M, Xu X, Song P, Zhang J, Huang Z. A Rapid and Highly Efficient Method for the Identification of Soybean Seed Varieties: Hyperspectral Images Combined with Transfer Learning. Molecules 2019;25:E152. [PMID: 31905957 PMCID: PMC6982693 DOI: 10.3390/molecules25010152] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2019] [Revised: 12/25/2019] [Accepted: 12/27/2019] [Indexed: 02/02/2023]  Open
35
Identification of rice flour types with near-infrared spectroscopy associated with PLS-DA and SVM methods. Eur Food Res Technol 2019. [DOI: 10.1007/s00217-019-03419-5] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
36
Zhu S, Chao M, Zhang J, Xu X, Song P, Zhang J, Huang Z. Identification of Soybean Seed Varieties Based on Hyperspectral Imaging Technology. SENSORS (BASEL, SWITZERLAND) 2019;19:E5225. [PMID: 31795146 PMCID: PMC6929038 DOI: 10.3390/s19235225] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/16/2019] [Revised: 11/21/2019] [Accepted: 11/26/2019] [Indexed: 11/16/2022]
37
Hyperspectral Image Classification Based on Spectral and Spatial Information Using Multi-Scale ResNet. APPLIED SCIENCES-BASEL 2019. [DOI: 10.3390/app9224890] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
38
Near-Infrared Hyperspectral Imaging Combined with Deep Learning to Identify Cotton Seed Varieties. Molecules 2019;24:molecules24183268. [PMID: 31500333 PMCID: PMC6766998 DOI: 10.3390/molecules24183268] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2019] [Revised: 09/02/2019] [Accepted: 09/06/2019] [Indexed: 01/17/2023]  Open
39
Classical and emerging non-destructive technologies for safety and quality evaluation of cereals: A review of recent applications. Trends Food Sci Technol 2019. [DOI: 10.1016/j.tifs.2019.07.018] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
40
Zhang Y, Guo W. Moisture content detection of maize seed based on visible/near‐infrared and near‐infrared hyperspectral imaging technology. Int J Food Sci Technol 2019. [DOI: 10.1111/ijfs.14317] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
41
Feng L, Zhu S, Liu F, He Y, Bao Y, Zhang C. Hyperspectral imaging for seed quality and safety inspection: a review. PLANT METHODS 2019;15:91. [PMID: 31406499 PMCID: PMC6686453 DOI: 10.1186/s13007-019-0476-y] [Citation(s) in RCA: 55] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/20/2018] [Accepted: 08/01/2019] [Indexed: 05/22/2023]
42
Mirzaei M, Marofi S, Abbasi M, Solgi E, Karimi R, Verrelst J. Scenario-based discrimination of common grapevine varieties using in-field hyperspectral data in the western of Iran. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION : ITC JOURNAL 2019;80:26-37. [PMID: 36081710 PMCID: PMC7613368 DOI: 10.1016/j.jag.2019.04.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2023]
43
Ru C, Li Z, Tang R. A Hyperspectral Imaging Approach for Classifying Geographical Origins of Rhizoma Atractylodis Macrocephalae Using the Fusion of Spectrum-Image in VNIR and SWIR Ranges (VNIR-SWIR-FuSI). SENSORS 2019;19:s19092045. [PMID: 31052476 PMCID: PMC6539508 DOI: 10.3390/s19092045] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/18/2019] [Revised: 04/18/2019] [Accepted: 04/29/2019] [Indexed: 01/07/2023]
44
Cultivar Classification of Single Sweet Corn Seed Using Fourier Transform Near-Infrared Spectroscopy Combined with Discriminant Analysis. APPLIED SCIENCES-BASEL 2019. [DOI: 10.3390/app9081530] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
45
Zhang J, Dai L, Cheng F. Classification of Frozen Corn Seeds Using Hyperspectral VIS/NIR Reflectence Imaging. Molecules 2019;24:E149. [PMID: 30609734 PMCID: PMC6337657 DOI: 10.3390/molecules24010149] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2018] [Revised: 12/26/2018] [Accepted: 12/27/2018] [Indexed: 11/20/2022]  Open
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Al-Saddik H, Laybros A, Simon JC, Cointault F. Protocol for the Definition of a Multi-Spectral Sensor for Specific Foliar Disease Detection: Case of "Flavescence Dorée". Methods Mol Biol 2019;1875:213-238. [PMID: 30362007 DOI: 10.1007/978-1-4939-8837-2_17] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
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Miao A, Zhuang J, Tang Y, He Y, Chu X, Luo S. Hyperspectral Image-Based Variety Classification of Waxy Maize Seeds by the t-SNE Model and Procrustes Analysis. SENSORS (BASEL, SWITZERLAND) 2018;18:E4391. [PMID: 30545028 PMCID: PMC6308723 DOI: 10.3390/s18124391] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/10/2018] [Revised: 12/07/2018] [Accepted: 12/08/2018] [Indexed: 01/22/2023]
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Identification of Hybrid Okra Seeds Based on Near-Infrared Hyperspectral Imaging Technology. APPLIED SCIENCES-BASEL 2018. [DOI: 10.3390/app8101793] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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Zhang T, Wei W, Zhao B, Wang R, Li M, Yang L, Wang J, Sun Q. A Reliable Methodology for Determining Seed Viability by Using Hyperspectral Data from Two Sides of Wheat Seeds. SENSORS 2018. [PMID: 29517991 PMCID: PMC5876662 DOI: 10.3390/s18030813] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Zheng Y, Bai J, Xu J, Li X, Zhang Y. A discrimination model in waste plastics sorting using NIR hyperspectral imaging system. WASTE MANAGEMENT (NEW YORK, N.Y.) 2018;72:87-98. [PMID: 29129466 DOI: 10.1016/j.wasman.2017.10.015] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/20/2017] [Revised: 09/29/2017] [Accepted: 10/12/2017] [Indexed: 05/09/2023]
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