Estimating rice nitrogen status with the Crop Circle multispectral active canopy sensor

Q. Cao, Y. Miao, S. Huang, H. Wang, R. Khosla, R. Jiang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

The objective of this study was to determine which vegetation indices calculated from the Crop Circle active sensor bands will perform best for estimating rice nitrogen (N) status. Six field experiments were conducted in Sanjiang Plain in Heilongjiang Province, China during 2011 and 2012. The results of the study indicated that six vegetation indices were significantly related to N uptake and nitrogen nutrition index (NNI) across different years, varieties and growth stages. Subsequently, six farm fields in two different villages were selected as datasets to validate the models developed in this study. The results indicated that using Normalized Difference Red Edge (NDRE) to predict plant N uptake had the highest coefficient of determination (R2, 0.76), the lowest root mean square error (RMSE, 17.00 kg N/ha), and relative error (RE, 23.61%) across different years, varieties and locations. The NDRE also gave the best prediction for NNI, with R2 being 0.76, RMSE being 0.09 and RE being 11.63%. The second best performing vegetation index was Red Edge Chlorophyll Index (CIRE), which performed similarly to NDRE.

Original languageEnglish (US)
Title of host publicationPrecision Agriculture 2013 - Papers Presented at the 9th European Conference on Precision Agriculture, ECPA 2013
Pages95-101
Number of pages7
StatePublished - Dec 1 2013
Event9th European Conference on Precision Agriculture, ECPA 2013 - Lleida, Catalonia, Spain
Duration: Jul 7 2013Jul 11 2013

Publication series

NamePrecision Agriculture 2013 - Papers Presented at the 9th European Conference on Precision Agriculture, ECPA 2013

Other

Other9th European Conference on Precision Agriculture, ECPA 2013
CountrySpain
CityLleida, Catalonia
Period7/7/137/11/13

Keywords

  • Active crop sensor
  • Nitrogen nutrition index (NNI)
  • Nitrogen status
  • Precision nitrogen management
  • Red edge vegetation index

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