А METHOD OF EVALUATING THE ABSORPTION SPECTRUM OF WHEAT LEAF BY THE SPECTRUM OF DIFFUSE REFLECTION
https://doi.org/10.26898/0370-8799-2018-5-9
Abstract
About the Authors
S. V. NikolaevRussian Federation
Candidate of Science in Biology, Researcher,
Novosibirsk
E. A. Urbanovich
Russian Federation
student,
Novosibirsk
V. R. Shayapov
Russian Federation
Candidate of Science in Physics and Maths, Researcher,
Novosibirsk
E. A. Orlova
Russian Federation
Lead Researcher,
Novosibirsk
D. A. Afonnikov
Russian Federation
Candidate of Science in Biology, Lead Researcher,
10, Academician M.A. Lavrentiev avenue, Novosibirsk, 630090
References
1. Bajwa S.G., Rupe J.C., Mason J. Soybean disease monitoring with leaf reflectance. Remote Sensin, 2017, vol. 9. no. 2, pp. 127.
2. Bravo C, Moshou D., West J., McCartney A., Ramon H. Early Disease Detection in Wheat Fields Using Spectral Reflectance. Biosystems Engineering, 2003, vol. 84, no. 2. pp. 137— 145.
3. Pan Z., Li X., Yang X.B., Andrade D., Xue L., McKinneyN. Prediction of Plant Diseases through Modelling and Monitoring Airborne Pathogen Dispersal. Plant Sciences Reviews, 2010. CABI191.
4. Audsley E., Milne A., PaveleyN. A foliar disease model for use in wheat disease management decision support systems / Annals of Applied Biology. 2005, vol. 147, no. 2, pp.161-172.
5. Tornli D.G.M. Matematicheskie modeli v fiziologii rastenii [Mathematical models in plant physiology]. Kiev: Naukova dumka [Scientific thought], 1982.
6. Mahlein A.K., Rumpf Т., Welke P., Dehne H. W, PlumerL., SteinerU., OerkeE.C. Development of spectral indices for detecting and identifying plant diseases. Remote Sensing of Environment, 2013, vol. 128, pp. 21-30.
7. Ashourloo D., Mobasheri M.R., Ffuete A. Developing two spectral disease indices for detection of wheat leaf rust (Pucciniatriticina). Remote Sensing, 2014, vol. 6, no. 6, pp. 4723- 4740.
8. ChemuraA., MutangaO., SibandaM., Chidoko P. Machine learning prediction of coffee rust severity on leaves using spectroradiometer data. Tropical Plant Pathology, 2018, vol. 43, no. 2, pp. 117-127.
9. KhanAJ., DeadmanM.L., Al-MaqbaliY.M., Al-SabahiJ., SrftandalmmarA., Rizvi S.G. Biochemical changes in sorghum leaves infected with leaf spot pathogen, Drechslera 10. 11. 12. 13. 14. 15. 16. 17. 18. sorghicola. The Plant Pathology Journal, 2001, vol. 17, no. 6, pp. 342-346.
10. Robert C, BancalM.O., NeyB., LannouC. Wheat leaf photosynthesis loss due to leaf rust, with respect to lesion development and leaf nitrogen status. New Phytologist, 2005, vol. 165, no. 1, pp. 227-241.
11. Bauriegel E., Giebel A., Geyer M., Schmidt U., FferppichWB. Early detection of Fusarium infection in wheat using hyper-spectral imaging. Computersand Electronicsin Agriculture, 2011, vol. 75, no. 2, pp. 304-312.
12. KubelkaR, MunkF. An article on optics of paint layers. Zeitschrift fur Technische Physik, 1931, vol. 12, pp. 593-601.
13. Al MakdessiN., JeanRA., EcarnotM., GorrettaN., RabatelG., RoumetP. How plant structure impacts the biochemical leaf traits assessment from in-field hyperspectral images: A simulation study based on light propagation modeling in 3D virtual wheat scenes. Field Crops Research, 2017, vol. 205, pp. 95-105.
14. XuK., LinY, WeiX., YeH. Biomimetic Material Simulating Solar Spectrum Reflection Characteristics of Yellow Leaf. Journal of Bionic Engineering, 2018, vol. 15, no. 4, pp.741-750.
15. Al MakdessiN., EcarnotM., RoumetR, Rabatel G. A spectral correction method for multi-scattering effects in close range hyperspectral imagery of vegetation scenes: application to nitrogen content assessment in wheat. Precision Agriculture, 2018, pp. 1-23.
16. Dzhadd D., Vyshetski G. Tsvet v пайке i tekhnike [Blossom in science and engineering], per. s angl. M: Mir, 1978. 592 p.
17. Kubelka P. New contributions to the optics of intensely light-scattering materials. Part I // Josa, 1948, vol. 38, no. 5, pp. 448-457.
18. Torrent J.O.S.E., Barron V. Diffuse reflectance spectroscopy. Methods of soil analysis, 2008, part 5. pp. 367-387.
Review
For citations:
Nikolaev S.V., Urbanovich E.A., Shayapov V.R., Orlova E.A., Afonnikov D.A. А METHOD OF EVALUATING THE ABSORPTION SPECTRUM OF WHEAT LEAF BY THE SPECTRUM OF DIFFUSE REFLECTION. Siberian Herald of Agricultural Science. 2018;48(5):68-76. (In Russ.) https://doi.org/10.26898/0370-8799-2018-5-9