Diurnal variability in reflectance measurements from cotton

Crop Science

Volumn 54, Issue 4, 2014, Pages 1769-1781

  Oliveira, Luciane F ^a   Scharf, Peter C ^b  

^a JCO Fertilizantes   (Brazil)

^b UNIVERSITY OF MISSOURI   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84903196300     PISSN: 0011183X     EISSN: 14350653     Source Type: Journal    
DOI: 10.2135/cropsci2013.04.0217     Document Type: Article

References (28)

1. Allen, P.B., J.B. Wilkerson, and M.B. Ramirez. 2009. Evaluating temporal variation in active-light plant sensors. In: S. Boyd et al., editors, Proc 2009 Beltwide Cotton Conf., San Antonio TX. 5-8 Jan 2009. Natl. Cotton Council Am., Memphis, TN. p. 367-373.
2. Bronson, K.F., T.T. Chua, J.D. Booker, J.W. Keeling, and R.J. Lascano. 2003. In-season nitrogen status sensing in irrigated cotton: II. Leaf nitrogen and biomass. Soil Sci. Soc. Am. J. 67:1439-1448. doi:10.2136/sssaj2003.1439
3. Brugnoli, E., and O. Björkman. 1992. Chloroplast movement in leaves-influence on chlorophyll fluorescence and measurements of light-induced absorbency changes related to delta-pH and zeaxanthin formation. Photosynth. Res. 32:23-35. doi:10.1007/BF00028795
4. Buscaglia, H.J., and J.J. Varco. 2002. Early detection of cotton leaf nitrogen status using leaf reflectance. J. Plant Nutr. 25:2067-2080. doi:10.1081/PLN-120013295
5. Chua, T.T., K.F. Bronson, J.D. Booker, J.W. Keeling, A.R. Mosier, J.P. Bordovsky, R.J. Lascano, C.J. Green, and E. Segarra. 2003. In-season nitrogen status sensing in irrigated cotton: I. Yield and nitrogen-15 recovery. Soil Sci. Soc. Am. J. 67:1428-1438. doi:10.2136/sssaj2003.1428
6. Clay, D.E., K. Kim, J. Chang, S.A. Clay, and K. Dalsted. 2006. Characterizing water and nitrogen stress in corn using remote sensing. Agron. J. 98:579-587. doi:10.2134/agronj2005.0204
7. Eklundh, L., H. Jin, P. Schubert, R. Guzinski, and M. Heliasz. 2011. An optical sensor network for vegetation phenology monitoring and satellite data calibration. Sensors 11:7678-7709. doi:10.3390/s110807678
8. Guan, J., and F.W. Nutter. 2001. Factors that affect the quality and quantity of sunlight reflected from alfalfa canopies. Plant Dis. 85:865-874. doi:10.1094/PDIS.2001.85.8.865
9. Gwathmey, C.O., D.D. Tyler, and X. Yin. 2010. Prospects for monitoring cotton crop maturity with Normalized Difference Vegetation Index. Agron. J. 102:1352-1360. doi:10.2134/agronj2010.0148
10. Hoel, B.O., and K.A. Solhaug. 1998. Effect of irradiance on chlorophyll estimation with the Minolta SPAD-502 leaf chlorophyll meter. Ann. Bot. 82:389-392. doi:10.1006/anbo.1998.0683
11. Jackson, R.D., P.J. Pinter, S.B. Idso, and R.J. Reginato. 1979. Wheat spectral reflectance: Interactions between crop configuration, sun elevation, and azimuth angle. Appl. Opt. 18:3730-3733.
12. Kim, Y., D.M. Glenn, J. Park, H.K. Ngugi, and B.L. Lehman. 2012. Characteristics of active spectral sensor for plant sensing. Trans. ASABE 55:293-301. doi:10.13031/2013.41239
13. Kipp, S., B. Mistele, and U. Schmidhalter. 2014. The performance of active spectral reflectance sensors as influenced by measuring distance, device temperature and light intensity. Comput. Electron. Agric. 100:24-33. doi:10.1016/j.compag.2013.10.007
14. Li, H., R.J. Lascano, E.M. Barnes, J. Booker, L.T. Wilson, K.F. Bronson, and E. Segarra. 2001. Multispectral reflectance of cotton related to plant growth, soil water and texture, and site elevation. Agron. J. 93:1327-1337. doi:10.2134/agronj2001.1327
15. Link, A., M. Panitzki, and S. Reusch. 2002. Hydro N-sensor: Tractor-mounted remote sensing for variable nitrogen fertilization. In: P.C. Robert, editor, Precision agriculture [CD-ROM]. Proc. Int. Conf. on Precision Agric., 6th, Minneapolis, MN. 14-17 July 2002. ASA, CSSA, and SSSA, Madison, WI. p. 1012-1018.
16. Lord, D., R.L. Desjardins, and P.A. Dubé. 1985. Influence of wind on crop canopy reflectance measurements. Remote Sens. Environ. 18:113-123. doi:10.1016/0034-4257(85)90042-2
17. Madeira, A.C., T.J. Gillespie, and C.L. Duke. 2000. Effect of wetness on turfgrass canopy reflectance. Agric. For. Meteorol. 107:117-130. doi:10.1016/S0168-1923(00)00230-6
18. Oliveira, L.F., P.C. Scharf, E.D. Vories, S.T. Drummond, D. Dunn, W.E. Stevens, K.F. Bronson, N.R. Benson, and V.C. Hubbard. 2013. Calibrating canopy reflectance sensors to predict optimal mid-season nitrogen rate for cotton. Soil Sci. Soc. Am. J. 77:173-183. doi:10.2136/sssaj2012.0154
19. Pinter, P.J., Jr. 1986. Effect of dew on canopy reflectance and temperature. Remote Sens. Environ. 19:187-205. doi:10.1016/0034-4257(86)90071-4
20. Plant, R.E., D.S. Munk, B.R. Roberts, R.L. Vargas, D.W. Rains, R.L. Travis, and R.B. Hutmacher. 2000. Relationships between remotely sensed reflectance data and cotton growth and yield. Trans. ASAE 43:535-546. doi:10.13031/2013.2733
21. Raun, W.R., J.B. Solie, G.V. Johnson, M.L. Stone, R.W. Mullen, K.W. Freeman, W.E. Thomason, and E.V. Lukina. 2002. Improving nitrogen use efficiency in cereal grain production with optical sensing and variable rate application. Agron. J. 94:815-820. doi:10.2134/agronj2002.0815
22. Scharf, P.C., D.K. Shannon, H.L. Palm, K.A. Sudduth, S.T. Drummond, N.R. Kitchen, L.J. Mueller, V.C. Hubbard, and L.F. Oliveira. 2011. Sensor-based nitrogen applications out-performed producer-chosen rates for corn in on-farm demonstrations. Agron. J. 103:1683-1691. doi:10.2134/agronj2011.0164
23. de Souza, E.G., G.A. Orlando, M.A. Uribe-Opazo, E.A. da Silva, and P. Scharf. 2004. Influence of the row direction of corn on the reflectance and green normalized difference vegetation index. Rev. Bras. Eng. Agric. Ambient. 8:79-84. doi:10.1590/S1415-43662004000100012
24. de Souza, E.G., P.C. Scharf, and K.A. Sudduth. 2010. The influence of sun position and clouds on reflectance and vegetation indices of greenhouse-grown corn. Agron. J. 102:734-744. doi:10.2134/agronj2009.0206
25. Sticksel, E., J. Schachtl, G. Huber, J. Liebler, and F.X. Maidl. 2004. Diurnal variation in hyperspectral vegetation indices related to winter wheat biomass formation. Precis. Agric. 5:509-520. doi:10.1007/s11119-004-5322-0
26. Tumbo, D.S., D.G. Wagner, and P.H. Heinemann. 2002. Hyperspectral characteristics of corn plants under different chlorophyll levels. Trans. ASAE 45:815-823.
27. Vellidis, G., B. Ortiz, G. Ritchie, A. Peristeropoulos, C. Perry, and K. Rucker. 2009. Using GreenSeeker to drive variable rate application of plant growth regulators and defoliants on cotton. In: E.J. van Henten, D. Goense, and C. Lokhorst, editors, Precision Agriculture '09-Proc. of the 7th European Conf. on Precision Agriculture, Wageningen Academic Publ., the Netherlands. p. 55-72.
28. Wilkerson, J.B., R. Sui, and W.E. Hart. 1998. Development of a variable-rate applicator based on spectral reflectance characteristics of cotton plants. In: Proc. 1998 Beltwide Cotton Conf. National Cotton Council of America, Memphis, TN. p. 439-443.