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Cao, Qiang, Miao, Yuxin, Wang, Hongye, Huang, Shanyu, Cheng, Shanshan, Khosla, R. and Jiang, Rongfeng (2013). Non-destructive estimation of rice plant nitrogen status with Crop Circle multispectral active canopy sensor. Field Crop. Res., 154. S. 133 - 145. AMSTERDAM: ELSEVIER SCIENCE BV. ISSN 1872-6852

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Abstract

Crop Circle is an active multispectral canopy sensor developed to support precision crop management. The Crop Circle ACS-470 model is user configurable, with a choice of six wavebands covering blue, green, red, red edge and near infrared spectral regions. The objectives of this study were to determine how well nitrogen (N) status of rice (Oryza sativa L) can be estimated with the Crop Circle ACS-470 active sensor using green, red edge and near infrared (NIR) bands at key growth stages and identify important vegetation indices for estimating rice N status indicators. Six field experiments involving different N rates and two varieties were conducted in Sanjiang Plain in Heilongjiang Province, China during 2011 and 2012. Crop sensor data and plant samples were also collected from five farmers' fields to further evaluate the sensor and selected vegetation indices. The results of the study indicated that among 43 different vegetation indices evaluated, modified chlorophyll absorption reflectance index 1 (MCARI1) had consistent correlations with rice aboveground biomass (R-2=0.79) and plant N uptake (R-2=0.83) across growth stages. Four red edge-based indices, red edge soil adjusted vegetation index (RESAVI), modified RESAVI (MRESAVI), red edge difference vegetation index (REDVI) and red edge re-normalized difference vegetation index (RERDVI), performed equally well for estimating N nutrition index (NNI) across growth stages (R-2=0.76). For rice plant N concentration, the highest R-2 was 0.33, and none of the indices performed satisfactorily with validation using farmers' field data. We conclude that the Crop Circle ACS-470 active canopy sensor allows users the flexibility to select suitable bands and calculate different vegetation indices and has a great potential for in-season non-destructive estimation of rice biomass, plant N uptake and NNI. (C) 2013 Elsevier B.V. All rights reserved.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Cao, Qiang UNSPECIFIED UNSPECIFIED UNSPECIFIED Miao, Yuxin UNSPECIFIED UNSPECIFIED UNSPECIFIED Wang, Hongye UNSPECIFIED UNSPECIFIED UNSPECIFIED Huang, Shanyu UNSPECIFIED UNSPECIFIED UNSPECIFIED Cheng, Shanshan UNSPECIFIED UNSPECIFIED UNSPECIFIED Khosla, R. UNSPECIFIED UNSPECIFIED UNSPECIFIED Jiang, Rongfeng UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-470715
DOI:	10.1016/j.fcr.2013.08.005
Journal or Publication Title:	Field Crop. Res.
Volume:	154
Page Range:	S. 133 - 145
Date:	2013
Publisher:	ELSEVIER SCIENCE BV
Place of Publication:	AMSTERDAM
ISSN:	1872-6852
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language VEGETATION INDEXES; WINTER-WHEAT; REFLECTANCE MEASUREMENTS; CHLOROPHYLL CONTENT; LEAF CHLOROPHYLL; NUTRITION INDEX; N STATUS; PRECISION AGRICULTURE; USE EFFICIENCY; GRAIN-YIELD Multiple languages Agronomy Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/47071