Assessment of Aphid Infestation in Mustard by Hyperspectral Remote Sensing
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  • 作者:Jitendra Kumar (1)
    Ananta Vashisth (1)
    V. K. Sehgal (1)
    V. K. Gupta (1)
  • 关键词:Mustard ; Aphid ; Hyperspectral remote sensing Vegetation index ; AI ; NDVI ; SIPI ; RVI
  • 刊名:Journal of the Indian Society of Remote Sensing
  • 出版年:2013
  • 出版时间:March 2013
  • 年:2013
  • 卷:41
  • 期:1
  • 页码:83-90
  • 全文大小:283KB
  • 参考文献:1. Anderson, T. W. (2004). / An Introduction to multivariate statistical analysis. New Delhi: Wiley Eastern Pub.
    2. Apan, A., Held, A., Phinn, S., & Markley, J. (2004). Detecting sugarcane ‘Orange Rust-disease using EO-1 hyperion hyperspectral imagery. / International Journal of Remote Sensing, 25, 489-98. CrossRef
    3. Asner, G. P. (1998). Biophysical and biochemical sources of variability in canopy reflectance. / Remote Sensing of Environment, 64, 234-53. CrossRef
    4. Bhattacharya, B. K., Sastry, L. V. S., & Sastry, P. S. N. (2000). Prediction of oil accumulation and quality in oilseed / Brassica on thermal time concept. / Environment and Ecology, 18, 271-75.
    5. Broge, N. H., & Mortensen, J. V. (2002). Deriving green crop area index and canopy hlorophyll dencity of winter wheat from spectral reflectance data. / Remote Sensing of Environment, 81, 45-7. CrossRef
    6. Castro, A. M., Rumi, C. P., & Arriaga, H. O. (1988). Influencie of greenbug on root growth of resistant and susceptible barley genotypes. / Environment and Experimental Botany, 28, 61-2. CrossRef
    7. Govender, M., Chetty, K., & Bulcock, H. (2007). A review of hyperspectral remote sensing and its application in vegetation and water resource studies. / Water Science, 33, 145-52.
    8. Hu, W. J., Huang, M. Y., Liu, L. Y., Wang Zhao, C. J., & Wang, J. D. (2004). Inversion of the severity of winter wheat yellow rust using proper hyper spectral index. / Transact ions of the CSAE, 21(4), 97-03.
    9. Jordan, C. J. (1969). Derivation of leaf-area index from quality of light on the forest floor. / Ecology, 50, 663-66. CrossRef
    10. Kruse, F. A. (1998). Advances in Hyperspectral Remote Sensing for Geologic, Mapping and Exploration. / Proc. 9 Australian Remote Sensing Conference, Sydney, Australia.
    11. Malthus, T. M., & Madeira, A. C. (1993). High resolution spectroradiometry: spectral reflectance of field bean leaves infected by / Botrytis fabae. / Remote Sensing of Environment, 45, 107-16. CrossRef
    12. Mirik, M., Michels, J. R., Kassymzhanova, G. J., Mirik, S., Elliott, N. C., & Bowling, R. (2006). Spectral measurement of greenbug density and damage to wheat growing under field and greenhouse conditions. / Journal of Ecology and Entomology, 99, 1682-690. CrossRef
    13. Morgham, A. T., Richardson, P. E., Campbell, R. K., Burd, J. D., Eikenbary, R. D., & Sumner, L. C. (1994). Ultrastructural responses of resistant and susceptible wheat to infestation by greenbug biotype E (Homoptera: Aphididae). / Annals Entomology Society, 87, 908-17.
    14. Neog, P., Chakravarty, N. V. K., Srivastava, A. K., Gautom, B., Katiyar, R. K., & Singh, H. B. (2005). Thermal time and its relationship with seed yield and oil productivity in Brassica cultivars. / Brassica, 7, 63-0.
    15. Nino, E. I. (2002). The use of a multispectral radiometer to detect greenbug ( / Schizaphis graninum) damage in winter wheat, / Triticum aestivum L. MS Thesis, West Texas A&M University, Canyon, TX.
    16. Penuelas, J., Filella, I., Biel, C., Serrano, L., & Save, R. (1993). The reflectance at the 950-70?nm region as an indicator of plant water status. / International Journal of Remote Sensing, 14, 1887-905. CrossRef
    17. Penuelas, J., Baret, F., & Filella, I. (1995). Semi-empirical indices to assess carotenoids/chlorophyll a ratio from leaf spectral reflectance. / Photosynthetica, 31, 221-30.
    18. Pinter, P. J., Hatfield, J. L., Schepers, J. S., Barnes, E. M., Moran, M. S., Daughtry, C. S. T., & Upchurch, D. R. (2003). Remote sensing for crop management. / Photogrammetry Remote Sensing, 69, 647-64.
    19. Raikes, C., & Burpee, L. L. (1998). Use of multispectral radiometry for assessment of / Rhizoctonia blight in creeping bentgrass. / Phytopathology, 88, 446-49. CrossRef
    20. Richardson, A. D., Aikens, M., Berlyn, G. P., & Marshall, P. (2004). Drought stress and paper birch ( / Betula papyrifera) seedlings: effects of an organic biostimulant on plant health and stress tolerance, and detection of stress effects with instrument-based, noninvasive methods. / Journal of Arboricultural, 30(52), 61.
    21. Riedell, W. E., & Blackmer, T. M. (1999). Leaf refectance spectra of cereal aphid damaged wheat. / Crop Science, 39, 1835-840. CrossRef
    22. Rouse, J. W., Haas, R. H., Schell, J. A., & Deering, D. W. (1974). Monitoring vegetation systems in the Great Plains with ERTS. In: Proceedings, Third ERTS Symposium, NASA Sp-351, vol. 1, Washington, DC, pp. 309-17.
    23. Saha, R. R., Ahmed, J. U., Rahman, S., & Golder, P. G. (2000). Yield and yield components of rapeseed and mustard as affected by debranching. / Journal of Agricultural Science and Technology, 1, 97-02.
    24. Schlerf, M., Atzberger, C., & Hill, J. (2005). Remote sensing of forest biophysical variables using hyper imaging spectrometer data. / Remote Sensing of Environment, 95, 177-94. CrossRef
    25. Walthall, C., Dulaney, W., Anderson, M., Norman, J., Fang, H., & Liang, S. (2004). A comparision of empirical and neural network approaches for estimating corn and soybean leaf area index from landsat ETM-?imagery. / Remote Sensing of Environment, 92(4), 465-74. CrossRef
    26. Yang, Z., Rao, M. N., Elliott, N. C., Kindler, D., & Popham, T. W. (2005). Using ground based multispectral radiometry to detect stress in wheat caused by greenbug (Homoptera: Aphididae) infestation. / Computers and Electronics in Agriculture, 47, 121-35. CrossRef
  • 作者单位:Jitendra Kumar (1)
    Ananta Vashisth (1)
    V. K. Sehgal (1)
    V. K. Gupta (1)

    1. Division of Agricultural Physics, Indian Agricultural Research Institute, New Delhi, 110012, India
  • ISSN:0974-3006
文摘
Field experiment was conducted during 2009-0 and 2010-1 rabi season at research farm of IARI, New Delhi for assessing the aphid infestation in mustard. In aphid infested plant the LAI was 67 to 94% lower than healthy plant. Chlorophyll concentration decreased to 50% in infested plant as compared to healthy plant. Infestation was more severe in late sown crop and due to aphid infestation the percentage oil content and yield was reduced significantly. The spectral reflectance of aphid infested canopy and healthy canopy taken in the laboratory had significant difference in NIR region. In the visible region, the reflectance peak occurred in healthy canopy at around 550-60?nm while this peak was lower by 31% in the aphid infested canopy. The reflectance for healthy crop was found to be more in visible as well as NIR region as compared to aphid infested canopy. The most significant spectral bands for the aphid infestation in mustard are in visible (550-60?nm) and near infrared regions (700-250?nm and 1950-450?nm). The different level of aphid infestation can be identified in 1950-450?nm spectral regions. Spectral indices viz NDVI, RVI, AI and SIPI had significant correlation with aphid infestation. Hence these indices could be used for identifying aphid infestation in mustard.

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