Application of Hyperspectral Imagery to Decision Tree Classifier for Assessment of Spring Potato (Solanum tuberosum) Damage by Salinity and Drought
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Kang, Kyeong-Suk
(Department of Agro-System Engineering, GyeongSang National University (Institute of Agriculture & Life Science))
Ryu, Chan-Seok (Department of Agro-System Engineering, GyeongSang National University (Institute of Agriculture & Life Science)) Jang, Si-Hyeong (Department of Agro-System Engineering, GyeongSang National University (Institute of Agriculture & Life Science)) Kang, Ye-Seong (Department of Agro-System Engineering, GyeongSang National University (Institute of Agriculture & Life Science)) Jun, Sae-Rom (Department of Agro-System Engineering, GyeongSang National University (Institute of Agriculture & Life Science)) Park, Jun-Woo (Department of Agro-System Engineering, GyeongSang National University (Institute of Agriculture & Life Science)) Song, Hye-Young (Department of Agro-System Engineering, GyeongSang National University (Institute of Agriculture & Life Science)) Lee, Su Hwan (Nation Institute of Crop Science, Rural Development Administration) |
1 | Bauriegel, E., A. Giebel, M. Geyer, U. Schmidt, and W. B. Herppich, 2011: Early detection of Fusarium infection in wheat using hyper-spectral imaging. Computers and Electronics in Agricultrue 75(2), 304-312. DOI |
2 | Cawley, G. C., and N. L. Talbot, 2010: On over-fitting in model selection and subsequent selection bias in performance evaluation. Journal of Machine Learning Research 11(Jul), 2079-2107. |
3 | Cho, J. W., K. S. Park, and S. Y. Lee, 2000: Growth characteristics of different barley cultivars grown on NaCl stress. Korean Journal of Environment Agriculture 19(1), 1-5. |
4 | Collins, W., 1978: Remote sensing of crop type and maturity. Photogrammetric Engineering and Remote Sensing 44, 43-55. |
5 | Dalal, R. C., and R. J. Henry, 1985: Simultaneous determination of moisture, organic carbon, and total Nitrogen by Near Infrared Reflectance spectrophotometry. SSSAJ 50(1), 120-123 DOI |
6 | Goel, P. K., S. O. Prasher, R. M. Patel, J. A. Landry, R. B. Bonnell, and A. A. Viau, 2003: Classification of hyperspectral data by decision trees and artificial neural networks to identify weed stress and nitrogen status of corn. Computers and Electronics in Agriculture 39(2), 67-93. DOI |
7 | Haboudane, D., J, R. Miller, E. Pattey, P. J. Zarco-Tejada, and I. B. Strachan, 2004: Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modeling and Validation in the Context of Precision Agriculture. Remote Sensing of Environment 90(3), 337-352. DOI |
8 | Horler, D. N. H., M. Dockray, and J. Barber, 1983: The red edge of plant leaf reflectance. International Journal of Remote Sensing 4(2), 273-288. DOI |
9 | Kang, Y. S., C. S. Ryu, S. H. Kim, S. R. Kim, S. H. Jang, J. W. Park, T. K. Sarkar, and H. Y. Song, 2018: Yield prediction of Chinese cabbage (Brassicaceae) using broadband multispectral imagery mounted unmanned aerial system in the air and narrowband hyperspectral imagery on the ground. Journal of Biosystems Engineering 43(2), 138-147. DOI |
10 | Bresler. E., B. L. McNeal, and D. L. carter, 1982: Saline and sodic soils. Spring - Verlag Berlin Heidelberg New York, 167-171. |
11 | Lee, S. H., S. H. Yoo, S. I. Seol, Y. An, Y. S Jung, and S. M. Lee, 2000: Assessment of salt damage for upland-crop in Dae-Ho reclaimed soil. Korean Journal of Environment Agriculture 19(4), 358-363. (in Korean with English abstract) |
12 | Kim, S. H., K. S. Lee, J. R. Ma, and M. J. Kook, 2005: Currrent status of hyperspectral remote sensing: principle, data processing techniques, and applications. Korean Journal of Remote Sensing 21(4), 341-369. (in Korean with English abstract) |
13 | Kim, Y., D. M. Glenn, J. Park, H. K. Ngugi, and B. L. Lehman, 2010: Hyperspectral image analysis for plant stress detection. In 2010 Pittsburgh, Pennsylvania, June 20-June 23, 2010 (p. 1). American Society of Agricultural and Biological Engineers. |
14 | Lee, K. B., M. Xu, J. D. Kim, and K. Y. Jung, 2006: Soil characteristics and utilization on reclaimed land in Jangsu province coastal region of China. Journal of the Korean Society of International Agriculture. |
15 | Mielikainen, J., 2006: Lossless compression of hyperspectral images using lookup tables. IEEE Signal Processing Letters 13(3), 157-16. DOI |
16 | Lee, Y. H., H. S. Cho, J. H. Kim, W. G. Sang, P. Shin, J. K. Baek, and M. C. Seo, 2018: Effect of carbon dioxide concentration, temperature, and relative drought on growth responses and yield in spring potato (Solanum tuberosum. L). Korean Journal of Agricultural and Forest Meteorology 20(2), 149-158. (in Korean with English abstract) DOI |
17 | Mendenhall, M. J., and E. Merenyi, 2008: Relevance-based feature extraction for hyperspectral images. IEEE Transactions on Neural Networks 19(4), 658-672. DOI |
18 | Martinez, J. L., H. Saulo, H. B. Escobar, and J. Leao, 2017: A new model selection criterion for partial least squares regression. Chemometrics and Intelligent Laboratory Systems 169, 64-78. DOI |
19 | Song, S., W. Gong, B. Zhu, and X. Huang, 2011: Wavelength selection and spectral discrimination for Paddy Rice with laboratory measurements of hyperspectral leaf reflectance. ISPRS Journal of Photogrammertry and Remote Sensing 66(5), 672-682. DOI |
20 | Pu, Y.Y., and D. W. Sun, 2016: Prediction of moisture content uniformity of microwave-vacuum dried Mangoes as affected by different shapes using NIR hyperspectral imaging. Innovative Food Science & Emerging Technologies 33, 348-356. DOI |
21 | Zarco-Tejada, P. J., V. Gonzalez-Dugo, and J. A. J. Berni, 2012: Fluorescence, temperature and narrow-band indices acquired from a UAV platform for water stress detection using a micro-hyperspectral imager and a Thermal Camera. Remote Sensing of Environment 117, 322-337. DOI |
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