Potential of spectroscopic data sets for sugarcane thrips (Fulmekiola serrata Kobus) damage detection

References

• Abdel-Rahman , E.M. and Ahmed , F.B. 2008 . The applications of remote sensing techniques to sugarcane (Saccharum spp. hybrid) production: a review of the literature . International Journal of Remote Sensing , 29 : 3753 – 3767 .
   Web of Science ®Google Scholar
• Apan , A. , Held , A. , Phinn , S. and Markley , J. 2004 . Detection of sugarcane ‘orange rust’ disease using EO-1 Hyperion hyperspectal imagery . International Journal of Remote Sensing , 25 : 489 – 498 .
   Web of Science ®Google Scholar
• 2005 , Analytical Spectral Device . Handheld Spectroradiometer: User's Guide Version 4.05 , Boulder , CO : Analytical Spectral Devices .
   Google Scholar
• Blackburn , G.A. 1998 . Spectral indices for estimating photosynthetic pigment concentrations: a test using senescent tree leaves . International Journal of Remote Sensing , 19 : 657 – 675 .
   Web of Science ®Google Scholar
• Carter , G.A. 1994 . Ratios of leaf reflectance in narrow wavebands as indictors of plant stress . International Journal of Remote Sensing , 15 : 697 – 703 .
   Web of Science ®Google Scholar
• Cho , M.A. 2007 . Hyperspectral remote sensing of biochemical and biophysical parameters , Enschede , , The Netherlands : PhD thesis, International Institute for Geo-information Science and Earth Observation, ITC .
   Google Scholar
• Cho , M.A. and Skidmore , A.K. 2006 . A new technique for extracting the red edge position from hyperspectral data: the linear extrapolation method . Remote Sensing of Environment , 101 : 181 – 193 .
   Web of Science ®Google Scholar
• Cibula , W.G. and Carter , G.A. 1992 . Identification of a far-red reflectance response to ectomycorrhizae in slash pine . International Journal of Remote Sensing , 13 : 925 – 932 .
   Web of Science ®Google Scholar
• Clevers , J.P.G.W. and Jongschaap , R. 2003 . “ Imaging spectroscopy for agricultural application ” . In Image Spectrometry , Edited by: van der Meer , F.D. and de Jong , S.M. Vol. 3 , 157 – 199 . London : Kluwer Academic .
   Google Scholar
• Coops , N.C. , Goodwin , N. , Stone , C. and Sims , N. 2006 . Application of narrow-band digital camera imagery to plantation canopy condition assessment . Canadian Journal of Remote Sensing , 32 : 19 – 32 .
   Web of Science ®Google Scholar
• Datt , B. , Apan , A. and Kelly , R. 2006 . “ Early detection of exotic pests and disease in Asian vegetables by imaging spectroscopy ” . In Rural Industries Research and Development Corporation Publication no. 05/170 Kingston , , Australia
   Google Scholar
• Daughtry , C.S.T. , Walthall , C.L. , Kim , M.S. , Brown De Colstoun , E. and McMurtrey , J.E. III . 2000 . Estimating corn leaf chlorophyll concentration from leaf and canopy reflectance . Remote Sensing of Environment , 74 : 229 – 239 .
   Web of Science ®Google Scholar
• de Boer , TH. A. 1993 . “ Botanical characteristics of vegetation and their influence on remote sensing ” . In Land Observation by Remote Sensing Theory and Applications , Edited by: Buiten , H.J. and Clevers , J.G.P.W. Vol. 3 , 89 – 106 . The Netherlands : Gordon and Breach Science Publisher . Wageningen Agricultural University
   Google Scholar
• Gamon , J.A. , Peñuelas , J. and Field , C.B. 1992 . A narrow-waveband spectral index that tracks diurnal changes in photosynthetic efficiency . Remote Sensing of Environment , 41 : 35 – 44 .
   Web of Science ®Google Scholar
• Gitelson , A.A. and Merzlyak , M.N. 1994 . Spectral reflectance changes associate with autumn senescence of Aesculus hippocastanum L. and Acer platanoides L. leaves. Spectral features and relation to chlorophyll estimation . Journal of Plant Physiology , 143 : 286 – 292 .
   Web of Science ®Google Scholar
• Haboudane , D. , Miller , J.R. , Tremblay , N. , Zarco-Tejada , P.J. and Dextraze , L. 2002 . Integrated narrow-band vegetation indices for prediction of crop chlorophyll content for application to precision agriculture . Remote Sensing of Environment , 81 : 416 – 426 .
   Web of Science ®Google Scholar
• Hair , J.F. , Black , W.C. , Babin , B. , Anderson , R.E. and Tatham , R.L. 2006 . Multivariate Data Analysis , 6th , Englewood Cliffs , NJ : Pearson Education .
   Google Scholar
• Hecker , J.H. 2003 . Investigation of the relationship between chlorophyll concentration and high resolution data of Phragmites australis in heavy metal contaminated sites , Enschede , , The Netherlands : M.Sc. Thesis, International Institute for Geo-information Science and Earth Observation, ITC .
   Google Scholar
• Huang , W. , Lamb , D.W. , Niu , Z. and Zhang , Y. 2007 . Identification of yellow rust in wheat using in-situ spectral reflectance measurements and airborne hyperspectral imaging . Precision Agriculture , 8 : 187 – 197 .
   Web of Science ®Google Scholar
• Hunt , E.R. and Rock , B.N. 1989 . Detection of changes in leaf water content using near- and middle-infrared reflectance . Remote Sensing of Environment , 30 : 43 – 54 .
   Web of Science ®Google Scholar
• Jiao , H.B. , Zha , Y. , Gao , J. , Li , Y.M. , Wei , Y.C. and Huang , J.Z. 2006 . Estimating of chlorophyll-a concentration in lake Tai, China using in situ hypersepectral data . International Journal of Remote Sensing , 27 : 4267 – 4276 .
   Web of Science ®Google Scholar
• Johnson , R.A. and Wichern , D.W. 2002 . Applied Multivariate Statistical Analysis , 5th , Englewood Cliffs , NJ : Pearson Education .
   Google Scholar
• Jørgensen , R.N. , Hansen , P.M. and Bro , R. 2006 . Exploratory study of winter wheat reflectance during vegetative growth using three-mode component analysis . International Journal of Remote Sensing , 27 : 919 – 937 .
   Google Scholar
• Kiang , N. , Sifert , Y. , Govindjee , J. and Blankenship , R.E. 2007 . Spectral signature of photosynthesis. I. review of earth organisms . Astrobiology , 7 : 222 – 251 .
   PubMed Web of Science ®Google Scholar
• Kolb , T.E. , McCormick , L H. and Shumway , D.L. 1991 . Physiological responses of pear thrips-damaged sugar maples to light and water stress . Tree Physiology , 9 : 401 – 413 .
   PubMed Web of Science ®Google Scholar
• Kumar , L. , Schmidt , K. , Dury , S. and Skidmore , A. 2003 . “ Imaging spectrometry and vegetation science ” . In Image Spectrometry , Edited by: van der Meer , F.D. and de Jong , S.M. Vol. 3 , 111 – 156 . London : Kluwer Academic .
   Google Scholar
• Leslie , G.W. 2005 . Thrips: a new pest of sugarcane in South Africa . The Link , 14 : 2 – 3 .
   Google Scholar
• Leslie , G.W. 2006 . Thrips . The Link , 15 : 11 – 11 .
   Google Scholar
• Lorenzen , B. and Jensen , A. 1989 . Changes in leaf spectral properties induced in barley by cereal powdery mildew . Remote Sensing of Environment , 27 : 201 – 209 .
   Web of Science ®Google Scholar
• Luther , J.E. and Carroll , A.L. 1999 . Development of an index of balsam fir vigor by foliar spectral reflectance . Remote Sensing of Environment , 69 : 241 – 252 .
   Web of Science ®Google Scholar
• Malthus , T.J. and Madeira , A.C. 1993 . High resolution spectroradiometry: spectral reflectance of field bean leaves infected by Botrytis fabae . Remote Sensing of Environment , 45 : 107 – 116 .
   Web of Science ®Google Scholar
• Mirik , M. , Michels Jr , G.J. , Kassymzhanova-Mirik , S. , Elliott , N.C.. , Catana , V. , Jones , D.B. and Bowling , R. 2006 . Using digital image analysis and spectral reflectance data to quantify damage by greenbug (Hemitera; Aphididae) in winter wheat . Computers and Electronics in Agriculture , 51 : 86 – 98 .
   Web of Science ®Google Scholar
• Mirik , M. , Michels Jr , G.J. , Kassymzhanova-Mirik , S. and Elliott , N.C. 2007 . Reflectance characteristics of Russian wheat aphid (Hemiptera: Aphididae) stress and abundance in winter wheat . Computers and Electronics in Agriculture , 57 : 123 – 134 .
   Web of Science ®Google Scholar
• Moshou , D. , Bravo , C. , West , J. , Wahlen , S. , McCartney , A. and Ramon , H. 2004 . Automatic detection of ‘yellow rust’ in wheat using reflectance measurements and neural networks . Computers and Electronics in Agriculture , 44 : 173 – 188 .
   Web of Science ®Google Scholar
• Mound , L.A. and Teulon , D.A.J. 1995 . “ Thysanoptera as phytophagous opportunists ” . In Thrips Biology and Management , Edited by: Parker , B.L. , Skinner , M. and Lewis , T. 3 – 20 . New York : Plenum Press .
   Google Scholar
• Mutanga , O. 2004 . Hyperspectral remote sensing of tropical grass quality and quantity , Enschede , , The Netherlands : PhD thesis, ITC, University of Wageningen .
   Google Scholar
• Mutanga , O. , Skidmore , A.K. and Prins , H.H.T. 2004 . Predicting in situ grass quality in the Kruger national park, South Africa, using continuum-removal absorption features . Remote Sensing of Environment , 89 : 393 – 408 .
   Web of Science ®Google Scholar
• Mutanga , O. , Skidmore , A.K. and van Wieren , S. 2003 . Discriminating grass grown under different nitrogen treatments using spectrometry . ISPRS Journal of Photogrmmetry and Remote Sensing , 57 : 263 – 272 .
   Web of Science ®Google Scholar
• Nguyen , H. and Lee , B. 2006 . Assessment of rice leaf growth and nitrogen status by hyperspectral canopy reflectance and partial least square regression . European Journal of Agronomy , 24 : 349 – 356 .
   Web of Science ®Google Scholar
• Parker , S.R. , Shaw , M.W. and Royle , D.J. 1995 . The reliability of visual estimates of disease severity on cereal leaves . Plant Pathology , 44 : 856 – 864 .
   Web of Science ®Google Scholar
• Peñuelas , J. , Baret , F. and Filella , I. 1995 . Semi-empirical indices to assess carotenoides/chlorophyll a ratio from leaf spectral reflectance . Photosynthetica , 31 : 221 – 230 .
   Web of Science ®Google Scholar
• Pu , R. , Foschi , L. and Gong , P. 2004 . Spectral feature analysis for assessment of water status and health level in coast live oak (Quercus agrifolia) leaves . International Journal of Remote Sensing , 25 : 4267 – 4286 .
   Web of Science ®Google Scholar
• Riedell , W.E. and Blackmer , T.M. 1999 . Leaf reflectance of cereal aphid-damaged wheat . Crop Science , 39 : 1835 – 1840 .
   Web of Science ®Google Scholar
• SOUTH AFRICAN SUGARCANE RESEARCH INSTITUTE . 2006 . Varieties. Information Sheet. ,
   Google Scholar
• Sims , D.A. and Gamon , J.A. 2002 . Relationship between leaf pigment content and spectral reflectance across a wide range of species, leaf structure and developmental stages . Remote Sensing of Environment , 81 : 337 – 354 .
   Web of Science ®Google Scholar
• SPSS . 2006 . SPSS for Windows , Chicago : SPSS . (Release 15)
   Google Scholar
• Sudbrink , D.L. , Harris , F.A. , Robbins , J.T. , English , P.J. and Willers , J.L. 2003 . Evaluation of remote sensing to identify variability of cotton plant growth and correlation with larval densities of beet armyworm and cabbage looper (Lepidoptera: Noctuidae) . Florida Entomologist , 86 : 290 – 294 .
   Web of Science ®Google Scholar
• Tian , Q. , Tong , Q. , Pu , R. , Guo , X. and Zhao , C. 2001 . Spectroscopic determination of wheat water status using 1650–1850 nm spectral absorption feature . International Journal of Remote Sensing , 22 : 2329 – 2338 .
   Web of Science ®Google Scholar
• Way , M.J. , Leslie , G.W. , Keeping , M.G. and Govender , A. 2006 . Fulmekiola serrata (Kobus) (Thysanoptera: Thripidae), a new pest in southern African sugarcane . African Entomology , 14 : 401 – 403 .
   Web of Science ®Google Scholar
• Xu , H.R. , Ying , Y.B. , Fu , X.P. and Zhu , S.P. 2007 . Near-infrared spectroscopy in detecting leaf miner damage to tomato leaf . Biosystems Engineering , 96 : 447 – 454 .
   Web of Science ®Google Scholar
• Yang , C. and Cheng , C. 2001 . Spectral characteristics of rice plants infested by brown planthoppers . Proceedings of National Science Council, Republic of China. Part B , 25 : 180 – 186 .
   PubMedGoogle Scholar
• Yang , Z. , Rao , M.N. , Elliott , N.C. , Kindler , S.D. and 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 – 135 .
   Web of Science ®Google Scholar
• Yoder , B.J. and Pettigrew-Crosby , R.E. 1995 . Predicting nitrogen and chlorophyll content and concentrations from reflectance spectra (400–2500 nm) at leaf and canopy scales . Remote Sensing of Environment , 53 : 199 – 211 .
   Web of Science ®Google Scholar
• Zhang , M. , Liu , X. and O'Neill , M. 2002 . Spectral discrimination of Phytophthora infestans infection on tomatoes based on principal component and cluster analyses . International Journal of Remote Sensing , 23 : 1095 – 1107 .
   Web of Science ®Google Scholar