Skip to main content Accessibility help

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)...


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).


Corresponding author


Hide All
Barnes, E, Clarke, T, Richards, S, Colaizzi, PD, Haberland, J, Kostrzewski, M, et al. 2000. Coincident detection of crop water stress, nitrogen status and canopy density using ground based multispectral data. In: Proceedings of the 5th International Conference on Precision Agriculture, Edited by PC Robert, Bloomington, Minnesota, USA, pp. 16–19.
Cao, Q, Miao, Y, Wang, H, Huang, S, Cheng, S, Khosla, R, et al. 2013. Non-destructive estimation of rice plant nitrogen status with Crop Circle multispectral active canopy sensor. Field Crops Research 154, 133144.
Cao, Q, Miao, Y, Feng, G, Gao, X, Li, F, Liu, B, et al. 2015. Active canopy sensing of winter wheat nitrogen status: an evaluation of two sensor systems. Computers and Electronics in Agriculture 112, 5467.
Huang, S, Miao, Y, Zhao, G, Yuan, F, Ma, X, Tan, C, et al. 2015. Satellite remote sensing-based in-season diagnosis of rice nitrogen status in Northeast China. Remote Sensing 7, 1064610667.
Jasper, J, Reusch, S and Link, A 2009. Active sensing of the N status of wheat using optimized wave-length combination: impact of seed rate, variety and growth stage. In: Precision Agriculture 09: Papers from the 7th European Conference on Precision Agriculture, edited by EJ Van Henten, D Goense and C Lokhorst, Wageningen Academic Publishers, Wageningen, Netherlands, pp. 2330.
Jordan, CF 1969. Derivation of leaf-area index from quality of light on the forest floor. Ecology 50 (4), 663666.
Lemaire, G, Jeuffroy, MH and Gastal, F 2008. Diagnosis tool for plant and crop N status in vegetative stage: theory and practices for crop N management. European Journal of Agronomy 28 (4), 614624.
Rouse, JW, Haas, JRH, Schell, JA and Deering, DW 1974. Monitoring vegetation systems in the Great Plains with ERTS. In Proceedings of Thid Earth Resources Technology Satellite-1 Symposium, NASA Special Publication 351, NASA, Washington, DC, USA, pp. 309–317.
Sripada, RP, Heiniger, RW, White, JG and Meijer, AD 2006. Aerial color infrared photography for determining early in-season nitrogen requirements in corn. Agronomy Journal 98, 968977.
Tremblay, N, Fallon, E and Ziadi, N 2011. Sensing of crop nitrogen status: opportunities, tools, limitations, and supporting information requirements. HortTechnology 21, 274281.
Tucker, CJ 1979. Red and photographic infrared linear combinations for monitoring vegetation. Remote Sensing of Environment 8, 127150.
Xia, T, Miao, Y, Wu, D, Shao, H, Khosla, R and Mi, G 2016. Active optical sensing of spring maize for in-season diagnosis of nitrogen status based on nitrogen nutrition index. Remote Sensing 8, 605.
Yao, Y, Miao, Y, Cao, Q, Wang, H, Gnyp, ML, Bareth, G, et al. 2014. In-season estimation of rice nitrogen status with an active crop canopy sensor. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 7, 44034413.
Yao, Y, Miao, Y, Huang, S, Gao, L, Ma, X, Zhao, G, et al. 2012. Active canopy sensor-based precision N management strategy for rice. Agronomy for Sustainable Development 32, 925933.


Related content

Powered by UNSILO

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)...


Full text views

Total number of HTML views: 0
Total number of PDF views: 0 *
Loading metrics...

Abstract views

Total abstract views: 0 *
Loading metrics...

* Views captured on Cambridge Core between <date>. This data will be updated every 24 hours.

Usage data cannot currently be displayed.