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Proceedings Paper

Remote sensing of canopy dynamics and biochemical variables estimation of fodder crops
Author(s): Suchit K. Rai; S. K. Das; A. K. Rai
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Paper Abstract

Non-destructive monitoring and diagnosis of plant nitrogen (N) concentration status is necessary for precision in N management. Leaf -N and chlorophyll (Chl) concentration of fodder crops are important indicators of plant N status. Studies were conducted to determine the relationship between canopy hyperspectral reflectance (325 to 1075 nm) and Chl or N concentration in field grown fodder crops [bajra (Pennisetum typhoides, sorghum (Sorghum bicolor L.) in Kharif season and oat (Avena sativa) in Rabi season] without and with recommended dose of nitrogen of different crops. Nitrogen fertilizer application mainly affected leaf reflectance at 575 and 623 nm in sorghum, 565 and 657 nm in bajra and 563 and 716 nm in oat. The reflectance ratio at R581/R397 (R2=0.46**) and R619/R462 nm (R2=0.79***) had the highest correlation with sorghum and bajra leaf N concentration respectively with greatest R2 values. However in oat single reflectance at R542 (R2=0.53**) had the highest correlation with leaf N concentration. Similarly, sorghum, bajra and oat leaf Chl concentration were highly correlated with R677/R527 (R2=0.63**), R688/R409 (R2=0.71***) and R695 (R2=0.56** ), respectively. A linear relationship was found between sorghum leaf N and a simple ratio at R581/R397 (Intercept=8.85, slope=-2.64, R2=0.44). Bajra leaf N concentration was associated closely with ratio of R619/ R462, (R2= 0.78***). Oat leaf N concentration could be best estimate through single reflectance at R695 (Slope=-0.48, Intercept=0.15; R2=0.56). Similarly sorghum, bajra and oat leaf Chl could be best-estimated using reflectance ratio of R677/R527, R615/R411 and R695, respectively. Thus our results suggest that spectral reflectance measurements hold promise for the assessment of some physiological parameter at the leaf level real time monitoring of sorghum and bajra N status and N fertilizer management.

Paper Details

Date Published: 20 April 2010
PDF: 16 pages
Proc. SPIE 7676, Sensing for Agriculture and Food Quality and Safety II, 76760P (20 April 2010); doi: 10.1117/12.852312
Show Author Affiliations
Suchit K. Rai, Indian Grassland and Fodder Research Institute (India)
S. K. Das, Indian Grassland and Fodder Research Institute (India)
A. K. Rai, Indian Grassland and Fodder Research Institute (India)

Published in SPIE Proceedings Vol. 7676:
Sensing for Agriculture and Food Quality and Safety II
Moon S. Kim; Shu-I Tu; Kaunglin Chao, Editor(s)

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