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Using portable RapidSCAN active canopy sensor for rice nitrogen status diagnosis

  • J. Lu, Y. Miao (a1), W. Shi (a1), J. Li (a1), J. Wan (a1), X. Gao (a1), J. Zhang (a1) and H. Zha (a1)...

Abstract

The objective of this study was to determine how much improvement red edge-based vegetation indices (VIs) obtained with the RapidSCAN sensor would achieve for estimating rice nitrogen (N) nutrition index (NNI) at stem elongation stage (SE) as compared with commonly used normalized difference vegetation index (NDVI) and ratio vegetation index (RVI) in Northeast China. Sixteen plot experiments and seven on-farm experiments were conducted from 2014 to 2016 in Sanjiang Plain, Northeast China. The results indicated that the performance of red edge-based VIs for estimation of rice NNI was better than NDVI and RVI. N sufficiency index calculated with RapidSCAN VIs (NSI_VIs) (R2=0.43–0.59) were more stable and more strongly related to NNI than the corresponding VIs (R2=0.12–0.38).

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Using portable RapidSCAN active canopy sensor for rice nitrogen status diagnosis

  • J. Lu, Y. Miao (a1), W. Shi (a1), J. Li (a1), J. Wan (a1), X. Gao (a1), J. Zhang (a1) and H. Zha (a1)...

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