Evaluation Of Different Sensing Approaches Concerning To Nondestructive Estimation Of Leaf Area Index (Lai) For Winter Wheat

[1]D. J. Watson, “Comparative physiological studies in the growth of field crops: I. Variation in net assimilation rate and leaf area between species and varieties, and within and between years,” Annals of Botany, vol. 11, pp. 41-76, 1947.10.1093/oxfordjournals.aob.a083148 Search in Google Scholar

[2]R. Confalonieri, M. Foi, R. Casa, S. Aquaro, E. Tona, M. Peterle, et al., “Development of an app for estimating leaf area index using a smartphone. Trueness and precision determination and comparison with other indirect methods,” Computers and Electronics in Agriculture, vol. 96, pp. 67-74, 2013.10.1016/j.compag.2013.04.019 Search in Google Scholar

[3]A. C. Ganguli, L. T. Vermeire, R. B. Mitchel, and M. C. Wallace, “Comparison of four nondestructive techniques for estimating standing crop in shortgrass plains,” Agronomy Journal, vol. 92, pp. 1211-1215, 2000. Search in Google Scholar

[4]W. W. Wilhelm, K. Ruwe, and M. R. Schlemmer, “Comparison of three leaf area index meters in a corn canopy,” Crop Science, vol. 40, pp. 1179-1183, 2000. Search in Google Scholar

[5]C. W. Kennedy and R. L. Hutchinson, “Cotton Growth and Development under Different Tillage Systems Approved for publication by the Director of the Louisiana Agric. Exp. Stn. as Manuscript No. 00-09-0180,” Crop Science, vol. 41, pp. 1162-1168, 2001. Search in Google Scholar

[6]D. Wallach, B. Goffinet, J.-E. Bergez, P. Debaeke, D. Leenhardt, and J.-N. Aubertot, “Parameter Estimation for Crop Models,” Agronomy Journal, vol. 93, pp. 757-766, 2001.10.2134/agronj2001.934757x Search in Google Scholar

[7]R. E. E. Jongschaap, “Integrating crop growth simulation and remote sensing to improve resource use effi ciency in farming systems,” Ph.D., Wageningen University, Wageningen, 2006. Search in Google Scholar

[8]J. Guan and F. W. Nutter Jr, “Relationships between defoliation, leaf area index, canopy reflectance, and forage yield in the alfalfa-leaf spot pathosystem,” Computers and Electronics in Agriculture, vol. 37, pp. 97-112, 2002.10.1016/S0168-1699(02)00113-8 Search in Google Scholar

[9]L. F. Johnson, D. E. Roczen, S. K. Youkhana, R. R. Nemani, and D. F. Bosch, “Mapping vineyard leaf area with multispectral satellite imagery,” Computers and Electronics in Agriculture, vol. 38, pp. 33-44, 2003.10.1016/S0168-1699(02)00106-0 Search in Google Scholar

[10]S. Machado, E. D. Bynum, T. L. Archer, R. J. Lascano, L. T. Wilson, J. Bordovsky, et al., “Spatial and Temporal Variability of Corn Growth and Grain Yield “ Crop Science, vol. 42, pp. 1564-1576, 2002. Search in Google Scholar

[11]K. H. Dammer and D. Ehlert, “Variable-rate fungicide spraying in cereals using a plant cover sensor,” Precision Agriculture, vol. 7, pp. 137-148, 2006.10.1007/s11119-006-9005-x Search in Google Scholar

[12]R. Gebbers, D. Ehlert, and R. Adamek, “Rapid Mapping of the Leaf Area Index in Agricultural Crops,” Agronomy Journal, vol. 103, pp. 1532-1541, 2011. Search in Google Scholar

[13]N. J. J. Breda, “Ground-based measurements of leaf area index: a review of methods, instruments and current controversies,” Journal of Experimental Botany, vol. 54, pp. 24032417, November 1, 2003. Search in Google Scholar

[14]I. Jonckheere, S. Fleck, K. Nackaerts, B. Muys, P. Coppin, M. Weiss, et al., “Review of methods for in situ leaf area index determination: Part I. Theories, sensors and hemispherical photography,” Agricultural and Forest Meteorology, vol. 121, pp. 19-35, 2004.10.1016/j.agrformet.2003.08.027 Search in Google Scholar

[15]M. Monsi and T. Saeki, “Uber den Lichtfaktor in den Pflanzengesellschaften und seine Bedeutung fur die Stoffproduktion,” Japanese Journal of Botany, vol. 14, pp. 22-52, 1953. Search in Google Scholar

[16]E. Boegh, H. Soegaard, N. Broge, C. B. Hasager, N. O. Jensen, K. Schelde, et al., “Airborne multispectral data for quantifying leaf area index, nitrogen concentration, and photosynthetic efficiency in agriculture,” Remote Sensing of Environment, vol. 81, pp. 179-193, 2002.10.1016/S0034-4257(01)00342-X Search in Google Scholar

[17]I. M. Scotford and P. C. H. Miller, “Estimating Tiller Density and Leaf Area Index of Winter Wheat using Spectral Reflectance and Ultrasonic Sensing Techniques,” Biosystems Engineering, vol. 89, pp. 395-408, 2004.10.1016/j.biosystemseng.2004.08.019 Search in Google Scholar

[18]R. Darvishzadeh, A. Skidmore, M. Schlerf, C. Atzberger, F. Corsi, and M. Cho, “LAI and chlorophyll estimation for a heterogeneous grassland using hyperspectral measurements,” ISPRS Journal of Photogrammetry and Remote Sensing, vol. 63, pp. 409-426, 2008.10.1016/j.isprsjprs.2008.01.001 Search in Google Scholar

[19]R. Houborg, M. Anderson, and C. Daughtry, “Utility of an image-based canopy reflectance modeling tool for remote estimation of LAI and leaf chlorophyll content at the field scale,” Remote Sensing of Environment, vol. 113, pp. 259-274, 2009.10.1016/j.rse.2008.09.014 Search in Google Scholar

[20]R. R. Pullanagari, I. Yule, W. King, D. Dalley, and R. Dynes, “The use of optical sensors to estimate pasture quality,” International Journal on Smart Sensing and Intelligent Systems, vol. 4, pp. 125–137, 2011.10.21307/ijssis-2017-430 Search in Google Scholar

[21]K.-H. Dammer, J. Wollny, and A. Giebel, “Estimation of the Leaf Area Index in cereal crops for variable rate fungicide spraying,” European Journal of Agronomy, vol. 28, pp. 351-360, 2008.10.1016/j.eja.2007.11.001 Search in Google Scholar

[22]J. Liu and E. Pattey, “Retrieval of leaf area index from top-of-canopy digital photography over agricultural crops,” Agricultural and Forest Meteorology, vol. 150, pp. 1485-1490, 2010. Search in Google Scholar

[23]A. Thomsen and K. Schelde, “Mobile measurement of canopy development and nitrogen status,” ed Wageningen: Wageningen Academic Publishers, 2007, pp. 389-395. Search in Google Scholar

[24]H. Thoele and D. Ehlert, “Biomass related nitrogen fertilization with a crop sensor,” Applied Engineering in Agriculture, vol. 26, pp. 769-775, 2010.10.13031/2013.34937 Search in Google Scholar

[25]M. Shibayama, T. Sakamoto, E. Takada, A. Inoue, K. Morita, W. Takahashi, et al., “Estimating Paddy Rice Leaf Area Index with Fixed Point Continuous Observation of Near Infrared Reflectance Using a Calibrated Digital Camera,” Plant Production Science, vol. 14, pp. 30-46, 2011.10.1626/pps.14.30 Search in Google Scholar

[26]U. Meier, Growth stages of mono- and dicotyledonous plants. Berlin: Blackwell Wissenschafts-Verlag, 1997. Search in Google Scholar

[27]Anonymous, “SunScan User Manual,” D.-T. Devices, Ed., ed. UK: Cambridge, 1999. Search in Google Scholar

[28]L. Kooistra, Verificatie remote versus near sensing voor toepassingen in precisie landbouw: Wageningen University, 2011. Search in Google Scholar

[29]Y. Li, D. Chen, C. N. Walker, and J. F. Angus, “Estimating the nitrogen status of crops using a digital camera,” Field Crops Research, vol. 118, pp. 221-227, 2010.10.1016/j.fcr.2010.05.011 Search in Google Scholar

[30]K. Erdle, B. Mistele, and U. Schmidhalter, “Comparison of active and passive spectral sensors in discriminating biomass parameters and nitrogen status in wheat cultivars,” Field Crops Research, vol. 124, pp. 74-84, 2011.10.1016/j.fcr.2011.06.007 Search in Google Scholar

[31]B. Mistele and U. Schmidhalter, “Spectral measurements of the total aerial N and biomass dry weight in maize using a quadrilateral-view optic,” Field Crops Research, vol. 106, pp. 94-103, 2008.10.1016/j.fcr.2007.11.002 Search in Google Scholar

[32]S. Reusch, J. Jasper, and A. Link, “Estimating crop biomass and nitrogen uptake using CropSpec TM, a newly developed active crop-canopy reflectance sensor,” in 10^th International Conference on Precision Agriculture, Denver, Colorado, 2010. Search in Google Scholar

[33]H. J. Heege, S. Reusch, and E. Thiessen, “Prospects and results for optical systems for sitespecific on-the-go control of nitrogen-top-dressing in Germany,” Precision Agriculture, vol. 9, pp. 115-131, 2008.10.1007/s11119-008-9055-3 Search in Google Scholar