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

摘要: Ground-based remote sensing can be used as one of the non-destructive, fast, and real-time diagnostic tools for quantifying yield, biomass, nitrogen (N) stress during growing season. This study was conducted to assess biomass status paddy rice (Oryza sativa L.) plants under N using passive active ground-based sensors. Nitrogen application rates were 0, 70, 100, 130 kg ha -1 . At each growth stage, reflectance indices measured with sensor showed higher correlation DW, uptake concentration than those sensor. NIR/Red NIR/Amber Crop Circle sensors generally had a better dry weight (DW), content vegetation from NDVIs Especially NIR/amber ratios at panicle initiation stage most closely correlated content, uptake. Rice grain harvest highly positively canopy all sampling dates. rate explains about 91~92% variability in SI calculated or on 12 July. Therefore, in-season sufficiency index (SI) by determination rate.