219
Views
7
CrossRef citations to date
0
Altmetric
Vibrational Spectroscopy

Characterization of Deep Green Infection in Tobacco Leaves Using a Hand-Held Digital Light Projection Based Near-Infrared Spectrometer and an Extreme Learning Machine Algorithm

, , , &
Pages 2266-2277 | Received 21 Jan 2020, Accepted 02 Mar 2020, Published online: 11 Mar 2020

References

  • Barbedo, J. G. A. 2016. A novel algorithm for semi-automatic segmentation of plant leaf disease symptoms using digital image processing. Tropical Plant Pathology 41 (4):210–24. doi:10.1007/s40858-016-0090-8.
  • Benoít, F., M. Van Heeswijk, Y. Miche, M. Verleysen, and A. Lendasse. 2013. Feature selection for nonlinear models with extreme learning machines. Neurocomputing 102:111–24. doi:10.1016/j.neucom.2011.12.055.
  • Bin, J., F.-F. Ai, W. Fan, J.-H. Zhou, Y.-H. Yun, and Y.-Z. Liang. 2016. A modified random forest approach to improve multi-class classification performance of tobacco leaf grades coupled with NIR spectroscopy. RSC Advances 6 (36):30353–61. doi:10.1039/C5RA25052H.
  • Chauchard, F., R. Cogdill, S. Roussel, J. M. Roger, and V. Bellon-Maurel. 2004. Application of LS-SVM to non-linear phenomena in NIR spectroscopy: Development of a robust and portable sensor for acidity prediction in grapes. Chemometrics and Intelligent Laboratory Systems 71 (2):141–50. doi:10.1016/j.chemolab.2004.01.003.
  • Correia, R. M., E. Domingos, F. Tosato, N. A. dos Santos, J. d. A. Leite, M. da Silva, M. C. A. Marcelo, R. S. Ortiz, P. R. Filgueiras, and W. Romão. 2018. Portable near infrared spectroscopy applied to abuse drugs and medicine analyses. Analytical Methods 10 (6):593–603. doi:10.1039/C7AY02998E.
  • DadrasJavan, F., F. Samadzadegan, S.H. Seyed Pourazar, and Fazeli Haidar. 2019. UAV-based multispectral imagery for fast Citrus Greening detection. Journal of Plant Diseases and Protection 126:307–318. doi:10.1007/s41348-019-00234-8
  • Feng, L., S. S. Chen, B. Feng, F. Liu, Y. He, and B. Lou. 2012. Early detection of soybean pod anthracnose based on spectrum technology. Transactions of the Chinese Society of Agricultural Engineering 28:139–44.
  • Guo, C. 2008. The research of the effects of exogenous substances on ripe of the mature-delayed tobacco. Henan Province, China: Henan Agriculture University Press.
  • Haq, M. I., F. Mabood, Z. Naureen, A. Al-Harrasi, S. A. Gilani, J. Hussain, F. Jabeen, A. Khan, R. S. M. Al-Sabari, F. H. S. Al-Khanbashi, et al. 2018. Application of reflectance spectroscopies (FTIR-ATR and FT-NIR) coupled with multivariate methods for robust in vivo detection of begomovirus infection in papaya leaves. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 198:27–32. doi:10.1016/j.saa.2018.02.065.
  • Heeswijk, M. V., M. Yoan, O. Erkki, and L. Amaury. 2011. GPU-accelerated and parallelized ELM ensembles for large-scale regression. Neurocomputing 74:2430–7.
  • Huang, G. B. 2014. An insight into extreme learning machines: Random neurons, random features and kernels. Cognitive Computation 6 (3):376–90. doi:10.1007/s12559-014-9255-2.
  • Huang, G. B., H. M. Zhou, X. J. Ding, and R. Zhang. 2010. Extreme learning machine for regression and multiclass classification. IEEE Transactions on Systems, Man and Cybernetics - Part B: Cybernetics 42:513–29.
  • Huang, G. B., Q. Y. Zhu, and C. K. Siew. 2006. Extreme learning machine: Theory and applications. Neurocomputing 70 (1-3):489–501. doi:10.1016/j.neucom.2005.12.126.
  • Lowe, A., N. Harrison, and A. P. French. 2017. Hyperspectral image analysis techniques for the detection and classification of the early onset of plant disease and stress. Plant Methods. 13 (1):80–5. doi:10.1186/s13007-017-0233-z.
  • Luna, A. S., A. P. D. Silva, J. S. A. Pinho, J. Ferré, and R. Boqué. 2013. Rapid characterization of transgenic and non-transgenic soybean oils by chemometric methods using NIR spectroscopy. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 100:115–9. doi:10.1016/j.saa.2012.02.085.
  • Mao, Y. C., D. Xiao, J. F. Cheng, J. H. Jiang, T. L. Ba, and S. J. Liu. 2017. Research in magnesite grade classification based on near infrared spectroscopy and ELM algorithm. Journal of Sensors 37:89–94. doi:10.1155/2017/9846181.
  • Nabavi, M., J. Dahlen, L. Schimleck, T. L. Eberhardt, and M. Cristian. 2018. Regional calibration models for predicting loblolly pine tracheid properties using near-infrared spectroscopy. Wood Science and Technology 52 (2):445–63. doi:10.1007/s00226-018-0986-1.
  • Pei, Z., W. Chuanyi, T. Fuhai, C. Seng, X. Xiuhong, P. Xiuping, Z. Peng, Y. Yonghua, R. Xia, J. Hainan, et al. 2014. Physiological and biochemical changes of non-normal tobacco during the flue-curing process and their cured quality. Chinese Tobacco Science 35:32–6.
  • Yu, Q., M. Van Heeswijk, Y. Miche, R. Nian, B. He, E. Severin, and A. Lendasse. 2014. Ensemble delta test-extreme learning machine (DT-ELM) for regression. Neurocomputing 129:153–8. doi:10.1016/j.neucom.2013.08.041.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.