This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
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.a083148Search in Google Scholar
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.2013.04.019Search in Google Scholar
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
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
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
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/agronj2001.934757xSearch in Google Scholar
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
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)00113-8Search in Google Scholar
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)00106-0Search in Google Scholar
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
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-xSearch in Google Scholar
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
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
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.2003.08.027Search in Google Scholar
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
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-XSearch in Google Scholar
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.2004.08.019Search in Google Scholar
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.2008.01.001Search in Google Scholar
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.2008.09.014Search in Google Scholar
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-2017-430Search in Google Scholar
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.2007.11.001Search in Google Scholar
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
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
H. Thoele and D. Ehlert, “Biomass related nitrogen fertilization with a crop sensor,” Applied Engineering in Agriculture, vol. 26, pp. 769-775, 2010.10.13031/2013.34937Search in Google Scholar
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.14.30Search in Google Scholar
U. Meier, Growth stages of mono- and dicotyledonous plants. Berlin: Blackwell Wissenschafts-Verlag, 1997.Search in Google Scholar
Anonymous, “SunScan User Manual,” D.-T. Devices, Ed., ed. UK: Cambridge, 1999.Search in Google Scholar
L. Kooistra, Verificatie remote versus near sensing voor toepassingen in precisie landbouw: Wageningen University, 2011.Search in Google Scholar
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.2010.05.011Search in Google Scholar
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.2011.06.007Search in Google Scholar
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.2007.11.002Search in Google Scholar
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 10th International Conference on Precision Agriculture, Denver, Colorado, 2010.Search in Google Scholar
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/s11119-008-9055-3Search in Google Scholar