Early assessment of the yield loss in rice due to the brown planthopper using a hyperspectral remote sensing method

References

• Abbasi M, Darvishsefat AA, Schaepman ME. 2010. Spectralreflectance of rice canopy and red edge position (REP) as indicator of high-yielding variety. In: Wagner W, Szekely B, editors. ISPRS TC VII Symposium-100 Years ISPRS; 2010 July 5–7; Vienna (Austria).
   Google Scholar
• Abdel-Rahman EM, Ahmed FB, van den Berg M, Way MJ. 2010. Potential of spectroscopic data sets for sugarcane thrips (Fulmekiola serrata Kobus) damage detection. Int J Remote Sens. 31:4199–4216.
   Web of Science ®Google Scholar
• Bottrell DG, Schoenly KG. 2011. Resurrecting the ghost of green revolutions past: the brown planthopper as a recurring threat to high yielding rice production in tropical Asia. J Asia-Pac Entomol. 15:122–140.
   Web of Science ®Google Scholar
• Bronson KF, Booker JD, Keeling JW, Boman RK, Wheeler TA, Lascano RJ, Nichols RL. 2005. Cotton canopy reflectance at landscape scale as affected by nitrogen fertilization. Agron J. 97:654–660.
   Web of Science ®Google Scholar
• Chang KW, Shen Y, Lo JC. 2005. Predicting rice yield using canopy reflectance measured at booting stage. Agron J. 97:872–878.
   Web of Science ®Google Scholar
• Cheng CH. 1976. Assessment of rice losses caused by the brown planthopper and the rice green leafhopper. Plant Prot Bull. 18:148–160.
   Google Scholar
• Dawson TP, Curran PJ. 1998. A new technique for interpolating red edge position. Int J Remote Sens. 19:2133–2139.
   Web of Science ®Google Scholar
• Han-ya I, Ishii K, Noguchi N. 2011. Rice yields and protein content estimation by low-altitude remote sensing using spectroradiometer. Paper presented at: 18th World Congress of the International Federation of Automatic Control (IFAC); Milano, Italy.
   Google Scholar
• Huang J, Liao H, Zhu Y, Sun J, Sun Q, Liu X. 2012. Hyperspectral detection of rice damaged by rice leaf folder (Cnaphalocrocis medinalis). Comput Electron Agric. 82:100–107.
   Web of Science ®Google Scholar
• Huang J, Sun J, Liao H, Liu X. 2015. Detection of brown planthopper infestation based on SPAD and spectral data from rice under different rates of nitrogen fertilizer. Precis Agric. 16:148–163.
   Web of Science ®Google Scholar
• Huete AR. 1988. A soil adjusted vegetation index (SAVI). Remote Sens Environ. 25:295–309.
   Web of Science ®Google Scholar
• Mirik M, Ansley RJ, Michels Jr GJ, Elliott NC. 2012. Spectral vegetation indices selected for quantifying Russian wheat aphid (Diuraphis noxia) feeding damage in wheat (Triticum aestivum L.). Precis Agric. 13:501–516.
   Web of Science ®Google Scholar
• Nuarsa IW, Nishio F, Hongo C. 2012. Rice yield estimation using landsat ETM+ data and field observation. J Agric Sci. 4:45–56.
   Google Scholar
• Prabhakar M, Prasad YG, Thirupathi M, Sreedevi G, Dharajothi B, Venkaeswarlu B. 2011. Use of ground based hyperspectral remote sensing for detection of stress in cotton caused by leafhopper (Hemiptera: Cicadellidae). Comput Electron Agric. 79:189–198.
   Web of Science ®Google Scholar
• Prabhakar M, Prasad YG, Vennila S, Thirupathi M, Sreedevi G, Rao GR, Venkateswarlu B. 2013. Hyperspectral indices for assessing damage by the solenopsis mealybug (Hemiptera: Pseudococcidae) in cotton. Comput Electron Agric. 97:61–70.
   Web of Science ®Google Scholar
• Prasannakumar NR, Chander S, Sahoo RN, Gupta VK. 2013. Assessment of brown planthopper, (Nilaparvata lugens) [Stål], damage in rice using hyperspectral remote sensing. Int J Pest Manage. 59:180–188.
   Web of Science ®Google Scholar
• Qi LZ, Ding JH, Zhang YM, Yan ZS, Wu JC, Zhang FJ. 1995. Determination on accuracy of the plant-flapping method to investigate the population of brown planthopper in rice. Entomol Knowl. 32:69–72.
   Google Scholar
• Qi HH, Zhang YH, Cheng DF, Han EB, Sun JR. 2010. Radar observation and trajectory analysis on the autumn return migration of the brown planthopper, Nilaparvata lugens (Homoptera: Delphacidae) in 2009 in China. Acta Entomol Sin. 53:1256–1264.
   Google Scholar
• Reisig DD, Godfrey LD. 2010. Remotely sensing arthropod and nutrient stressed plants: a case study with nitrogen and cotton aphid (Hemiptera: Aphididae). Environ Entomol. 39:1255–1263.
   PubMed Web of Science ®Google Scholar
• Riedell WE, Osborne SL, Langham MA, Hesler LS. 2003. Remote sensing of barley yellow dwarf and wheat streak diseases in winter wheat canopies. Proc Int Conf Precis Agric. 6:160–166.
   Google Scholar
• Riley JR, Reynolds DR, Smith AD, Rosenberg LJ, Cheng XN, Zhang XX, Xu GM, Cheng JY, Bao AD, Zhai BP, Wang HK. 1994. Observations of the autumn migration of Nilaparvata lugens (Homoptera: Delphacidae) and other pests in East Central China. B Entomol Res. 84:389–402.
   Web of Science ®Google Scholar
• Rouse JW, Haas RH, Schell JA, Deering DW. 1973. Monitoring vegetation systems in the great plains with ERTS. Paper presented at: Third ERTS Symposium, NASA SP-351; Washington (DC).
   Google Scholar
• SAS Institute Inc. 2001. JMP user's Guide, version 4. Cary (NC): SAS Institute Inc.
   Google Scholar
• Serrano L, González-flor C, Gorchs G. 2011. Assessment of grape yield and composition using the reflectance based water index in Mediterranean rainfed vineyards. Remote Sens Environ. 118:249–258.
   Web of Science ®Google Scholar
• Sogawa K. 1982. The rice brown planthopper: feeding physiology and host plant interactions. Ann Rev Entomol. 27:49–73.
   Web of Science ®Google Scholar
• Sogawa K, Cheng CH. 1979. Economic thresholds, nature of damage, and losses caused by the brown planthopper. In: International Rice Research Institute, editor. Brown planthopper: threat to rice production in Asia. Laguna: International Rice Research Institute; p. 125–142.
   Google Scholar
• Strachan IB, Pattey E, Boisvert JB. 2002. Impact of nitrogen and environmental conditions on corn as detected by hyperspectral reflectance. Remote Sens Environ. 80:213–224.
   Web of Science ®Google Scholar
• Sun QH, Liu XD. 2010. Spectral characteristics of the damaged rice plant by brown planthopper, Nilaparvata lugens. Chin J Rice Sci. 24:203–209.
   Google Scholar
• Yang CM, Chen RK. 2007. Differences in growth estimation and yield prediction of rice crop using satellites data simulated from near ground hyperspectral reflectance. J Photogramm Remote Sens. 12:93–105.
   Google Scholar
• Yang CM, Cheng CH, Chen RK. 2007. Changes in spectral characteristics of rice canopy infested with brown planthopper and leaffolder. Crop Sci. 47:329–335.
   Web of Science ®Google Scholar
• Yang Z, Rao MN, Elliott NC, Kindler SD, Popham TW. 2009. Differentiating stress induced by greenbugs and Russian wheat aphids in wheat using remote sensing. Comput Electron Agric. 67:64–70.
   Web of Science ®Google Scholar