286 related articles for article (PubMed ID: 29698420)
21. [Hyperspectral inversion models on verticillium wilt severity of cotton leaf].
Jing X; Huang WJ; Wang JH; Wang JD; Wang KR
Guang Pu Xue Yu Guang Pu Fen Xi; 2009 Dec; 29(12):3348-52. PubMed ID: 20210167
[TBL] [Abstract][Full Text] [Related]
22. Estimation of Corn Canopy Chlorophyll Content Using Derivative Spectra in the O
Zhang X; He Y; Wang C; Xu F; Li X; Tan C; Chen D; Wang G; Shi L
Front Plant Sci; 2019; 10():1047. PubMed ID: 31507626
[TBL] [Abstract][Full Text] [Related]
23. Relationships between leaf chlorophyll content and spectral reflectance and algorithms for non-destructive chlorophyll assessment in higher plant leaves.
Gitelson AA; Gritz Y; Merzlyak MN
J Plant Physiol; 2003 Mar; 160(3):271-82. PubMed ID: 12749084
[TBL] [Abstract][Full Text] [Related]
24. Vegetation stress detection through chlorophyll a + b estimation and fluorescence effects on hyperspectral imagery.
Zarco-Tejada PJ; Miller JR; Mohammed GH; Noland TL; Sampson PH
J Environ Qual; 2002; 31(5):1433-41. PubMed ID: 12371159
[TBL] [Abstract][Full Text] [Related]
25. Classification of soybean frogeye leaf spot disease using leaf hyperspectral reflectance.
Liu S; Yu H; Sui Y; Zhou H; Zhang J; Kong L; Dang J; Zhang L
PLoS One; 2021; 16(9):e0257008. PubMed ID: 34478465
[TBL] [Abstract][Full Text] [Related]
26. Estimation of area- and mass-based leaf nitrogen contents of wheat and rice crops from water-removed spectra using continuous wavelet analysis.
Li D; Wang X; Zheng H; Zhou K; Yao X; Tian Y; Zhu Y; Cao W; Cheng T
Plant Methods; 2018; 14():76. PubMed ID: 30181765
[TBL] [Abstract][Full Text] [Related]
27. Nitrogen contents of rice panicle and paddy by hyperspectral remote sensing.
Tang YL; Huang JF; Cai SH; Wang RC
Pak J Biol Sci; 2007 Dec; 10(24):4420-5. PubMed ID: 19093505
[TBL] [Abstract][Full Text] [Related]
28. [Assessment of chlorophyll content using a new vegetation index based on multi-angular hyperspectral image data].
Liao QH; Zhang DY; Wang JH; Yang GJ; Yang H; Coburn C; Wong Z; Wang DC
Guang Pu Xue Yu Guang Pu Fen Xi; 2014 Jun; 34(6):1599-604. PubMed ID: 25358171
[TBL] [Abstract][Full Text] [Related]
29. Characterizing and estimating rice brown spot disease severity using stepwise regression, principal component regression and partial least-square regression.
Liu ZY; Huang JF; Shi JJ; Tao RX; Zhou W; Zhang LL
J Zhejiang Univ Sci B; 2007 Oct; 8(10):738-44. PubMed ID: 17910117
[TBL] [Abstract][Full Text] [Related]
30. Angular leaf spot: a disease caused by the fungus Phaeoisariopsis griseola (Sacc.) Ferraris on Phaseolus vulgaris L.
Stenglein S; Ploper LD; Vizgarra O; Balatti P
Adv Appl Microbiol; 2003; 52():209-43. PubMed ID: 12964246
[No Abstract] [Full Text] [Related]
31. Assessing the Spectral Properties of Sunlit and Shaded Components in Rice Canopies with Near-Ground Imaging Spectroscopy Data.
Zhou K; Deng X; Yao X; Tian Y; Cao W; Zhu Y; Ustin SL; Cheng T
Sensors (Basel); 2017 Mar; 17(3):. PubMed ID: 28335375
[TBL] [Abstract][Full Text] [Related]
32. Hyperspectral Imaging for Determining Pigment Contents in Cucumber Leaves in Response to Angular Leaf Spot Disease.
Zhao YR; Li X; Yu KQ; Cheng F; He Y
Sci Rep; 2016 Jun; 6():27790. PubMed ID: 27283050
[TBL] [Abstract][Full Text] [Related]
33. [Study on hyperspectral estimation of pigment contents in leaves of cotton under disease stress].
Chen B; Li SK; Wang KR; Wang FY; Xiao CH; Pan WC
Guang Pu Xue Yu Guang Pu Fen Xi; 2010 Feb; 30(2):421-5. PubMed ID: 20384137
[TBL] [Abstract][Full Text] [Related]
34. [Predicting nitrogen concentrations from hyperspectral reflectance at hyperspectral reflectance at leaf and canopy for rape].
Wang Y; Huang JF; Wang FM; Liu ZY
Guang Pu Xue Yu Guang Pu Fen Xi; 2008 Feb; 28(2):273-7. PubMed ID: 18479002
[TBL] [Abstract][Full Text] [Related]
35. [Study on the difference in canopy spectral reflectance and chlorophyll content of spring wheat at jointing stage in different land].
Jin YH; Xiong HG; Zhang F; Wang LF
Guang Pu Xue Yu Guang Pu Fen Xi; 2013 Apr; 33(4):1043-7. PubMed ID: 23841425
[TBL] [Abstract][Full Text] [Related]
36. Estimating the leaf nitrogen content of paddy rice by using the combined reflectance and laser-induced fluorescence spectra.
Yang J; Du L; Sun J; Zhang Z; Chen B; Shi S; Gong W; Song S
Opt Express; 2016 Aug; 24(17):19354-65. PubMed ID: 27557214
[TBL] [Abstract][Full Text] [Related]
37. Narrow-waveband reflectance ratios for remote estimation of nitrogen status in cotton.
Read JJ; Tarpley L; McKinion JM; Reddy KR
J Environ Qual; 2002; 31(5):1442-52. PubMed ID: 12371160
[TBL] [Abstract][Full Text] [Related]
38. Leaf proteome comparison of two GM common bean varieties and their non-GM counterparts by principal component analysis.
Valentim-Neto PA; Rossi GB; Anacleto KB; de Mello CS; Balsamo GM; Arisi AC
J Sci Food Agric; 2016 Feb; 96(3):927-32. PubMed ID: 25760408
[TBL] [Abstract][Full Text] [Related]
39. [Comparison of principal component analysis with VI-empirical approach for estimating severity of yellow rust of winter wheat].
Chen YH; Jiang JB; Huang WJ; Wang YY
Guang Pu Xue Yu Guang Pu Fen Xi; 2009 Aug; 29(8):2161-5. PubMed ID: 19839330
[TBL] [Abstract][Full Text] [Related]
40. Anastomosis groups and molecular variation in Pseudocercospora griseola.
Damasceno-Silva KJ; Souza EA; Freire CN; Ishikawa FH
Genet Mol Res; 2015 Jul; 14(3):7436-45. PubMed ID: 26214422
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
