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International Journal on Smart Sensing and Intelligent Systems

Professor Subhas Chandra Mukhopadhyay

Exeley Inc. (New York)

Subject: Computational Science & Engineering, Engineering, Electrical & Electronic


eISSN: 1178-5608



VOLUME 7 , ISSUE 1 (March 2014) > List of articles


H. Tavakoli / S.S. Mohtasebi * / R. Alimardani / R. Gebbers

Keywords : Leaf area index (LAI), plant height, vegetation indices, digital camera, precision agriculture

Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 7, Issue 1, Pages 337-359, DOI: https://doi.org/10.21307/ijssis-2017-659

License : (CC BY-NC-ND 4.0)

Received Date : 11-October-2013 / Accepted: 03-February-2014 / Published Online: 27-December-2017



Different approaches of non-destructive estimation of the LAI in winter wheat were compared. Plant height had weak relation with the LAI, while estimated biomass showed high logarithmic relationship (R2=0.839). NDRE and REIP were logarithmically well related to the LAI (R2=0.726 and 0.779 respectively). Saturation effect of NDRE and REIP was less than NDVI. Some RGB-based indices also showed good potential to estimate the LAI. Among the indices, Gm, GMB, RMB, and NRMB were better related to the LAI. The results indicated that digital cameras can be used as an affordable and simple approach for assessment of the LAI of crops.

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[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.
[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.
[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.
[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.
[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.
[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.
[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.
[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.
[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] 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.
[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.
[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.
[13] N. J. J. Bréda, "Ground‐based measurements of leaf area index: a review of methods, instruments and current controversies," Journal of Experimental Botany, vol. 54, pp. 2403-2417, November 1, 2003.
[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.
[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.
[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.
[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.
[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.
[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.
[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.
[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.
[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.
[23] A. Thomsen and K. Schelde, "Mobile measurement of canopy development and nitrogen status," ed Wageningen: Wageningen Academic Publishers, 2007, pp. 389-395.
[24] H. Thoele and D. Ehlert, "Biomass related nitrogen fertilization with a crop sensor," Applied Engineering in Agriculture, vol. 26, pp. 769-775, 2010.
[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.
[26] U. Meier, Growth stages of mono- and dicotyledonous plants. Berlin: Blackwell Wissenschafts-Verlag, 1997.
[27] Anonymous, "SunScan User Manual," D.-T. Devices, Ed., ed. UK: Cambridge, 1999.
[28] L. Kooistra, Verificatie remote versus near sensing voor toepassingen in precisie landbouw: Wageningen University, 2011.
[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.
[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.
[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.
[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 10th International Conference on Precision Agriculture, Denver, Colorado, 2010.
[33] H. J. Heege, S. Reusch, and E. Thiessen, "Prospects and results for optical systems for site-specific on-the-go control of nitrogen-top-dressing in Germany," Precision Agriculture, vol. 9, pp. 115-131, 2008.