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Evaluation of Biomass and Nitrogen Nutrition of Tobacco under Sand Culture by Reflectance Indices of Ground-based Remote Sensors  

Kang, Seong-Soo (National Academy of Agricultural Science, RDA)
Jeong, Hyun-Cheol (National Academy of Agricultural Science, RDA)
Jeon, Sang-Ho (National Academy of Agricultural Science, RDA)
Hong, Soon-Dal (Department of Agricultural Chemistry, Chungbuk National University)
Publication Information
Korean Journal of Soil Science and Fertilizer / v.42, no.2, 2009 , pp. 70-78 More about this Journal
Abstract
Remote sensing technique in agriculture can be used to identify chlorophyll content, biomass, and yield caused from N stress level. This study was conducted to evaluate biomass, N stress levels, and yield of tobacco (Nicotiana tabacum L.) under sand culture in a plastic film house using ground-based remote sensors. Nitrogen rates applied were 40, 60, 80, 100, 120, and 140 percent of N concentration in the Hoagland's nutrient solution. Sensor readings for reflectance indices were taken at 30, 35, 40, 45, 50 and 60 days after transplanting(DAT). Reflectance indices measured at 40th DAT were highly correlated with dry weight(DW) of tobacco leaves and N uptake by leaves. Especially, green normalized difference vegetation index(gNDVI) from spectroradiometer and aNDVI from Crop Circle passive sensor were able to explain 85% and 84% of DW variability and 85% and 92% of N uptake variability, respectively. All the reflectance indices measured at each sampling date during the growing season were significantly correlated with tobacco yield. Especially the gNDVI derived from spectroradiometer readings at the 40th DAT explained 72% of yield variability. N rates of tobacco were distinguished by sufficiency index calculated using the ratio of reflectance indices of stress to optimum plot of N treatment. Consequently results indicate that the reflectance indices by ground-based remote sensor can be used to predict tobacco yield and recommend the optimum application rate of N fertilizer for top dressing of tobacco.
Keywords
Ground-based remote sensors; Nitrogen rate; NDVI; Reflectance indices; Tobacco; Yield prediction;
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