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Evaluation of Biomass and Nitrogen Status in Paddy Rice Using Ground-Based Remote Sensors  

Kang, Seong-Soo (National Academy of Agricultural Science, RDA)
Gong, Hyo-Young (National Academy of Agricultural Science, RDA)
Jung, Hyun-Cheol (National Academy of Agricultural Science, RDA)
Kim, Yi-Hyun (National Academy of Agricultural Science, RDA)
Hong, Suk-Young (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.43, no.6, 2010 , pp. 954-961 More about this Journal
Abstract
Ground-based remote sensing can be used as one of the non-destructive, fast, and real-time diagnostic tools for quantifying yield, biomass, and nitrogen (N) stress during growing season. This study was conducted to assess biomass and nitrogen (N) status of paddy rice (Oryza sativa L.) plants under N stress using passive and active ground-based remote sensors. Nitrogen application rates were 0, 70, 100, and 130 kg N $ha^{-1}$. At each growth stage, reflectance indices measured with active sensor showed higher correlation with DW, N uptake and N concentration than those with the passive sensor. NIR/Red and NIR/Amber indices measured with Crop Circle active sensors generally had a better correlation with dry weight (DW), N uptake and N content than vegetation indices from Crop Circle passive sensor and NDVIs from active sensors. Especially NIR/Red and NIR/amber ratios at the panicle initiation stage were most closely correlated with DW, N content, and N uptake. Rice grain yield, DW, N content and N uptake at harvest were highly positively correlated with canopy reflectance indices measured with active sensors at all sampling dates. N application rate explains about 91~92% of the variability in the SI calculated from NIR/Red or NIR/Amber indices measured with Crop Circle active sensors on 12 July. Therefore, the in-season sufficiency index (SI) by NIR/Red or NIR/Amber index from Crop Circle active sensors can be used for determination of N application rate.
Keywords
Canopy reflectance; Ground-based remote sensors; NDVI; Nitrogen status; Paddy rice;
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