Evaluation of different sensing approaches concerning to nondestructive estimation of leaf area index (LAI) for winter wheat
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Date
2017
Volume
7
Issue
1
Journal
Series Titel
Book Title
Publisher
Auckland : Massey University
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Abstract
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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Keywords
Digital camera, Leaf area index (LAI), Plant height, Precision agriculture, Vegetation indices, Digital cameras, Precision agriculture, Video cameras, Leaf Area Index, Logarithmic relationship, Non destructive, Plant height, Saturation effects, Simple approach, Vegetation index, Winter wheat, Crops
Citation
Tavakoli, H., Mohtasebi, S. S., Alimardani, R., & Gebbers, R. (2017). Evaluation of different sensing approaches concerning to nondestructive estimation of leaf area index (LAI) for winter wheat. 7(1). https://doi.org//10.21307/ijssis-2017-659
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License
CC BY-NC-ND 4.0 Unported