Evaluation Of Different Sensing Approaches Concerning To Nondestructive Estimation Of Leaf Area Index (Lai) For Winter Wheat
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10 mar 2014
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Publicado en línea: 10 mar 2014
Páginas: 337 - 359
Recibido: 11 oct 2013
Aceptado: 03 feb 2014
DOI: https://doi.org/10.21307/ijssis-2017-659
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© 2014 H. Tavakoli et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
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.