Share Email Print
cover

Proceedings Paper

Study on the growth and spectral response of rice with different nitrogen morphologies in water-saving irrigation model
Author(s): Zhifang Xiao; Xilin Fang; Yue Wang; Rongliang Zeng; Jianhui Li; Guanghui Chen
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Hyper-spectral remote sensing is now a frontier of the remote sensing technology, which can monitoring chlorophyll content rapidly and nondestructive. In this study, four nitrogen forms were set up:ammonium sulfate (ammonium nitrogen) B1, potassium nitrate (nitrate nitrogen) B2, urea (amide nitrogen) B3, and formaldehyde urea (slow effect nitrogen fertilizer) B4. The chlorophyll content of B4 treated with different nitrogen forms was significantly different. Spectral parameters also show good correlation. The chlorophyll content estimation model constructed with the spectral parameters DVI(755,690) and DVI(810,690) has a good fitting degree, and the linear model R2 has reached a significant level, respectively. Rice treated with traditional urea had a lower growth rate than the other three types of nitrogen, the slow effect nitrogen fertilizer and ammonium nitrogen were suggested to improve nitrogen utilization efficiency and eventually reach the goal of high yield.

Paper Details

Date Published: 12 March 2019
PDF: 6 pages
Proc. SPIE 11023, Fifth Symposium on Novel Optoelectronic Detection Technology and Application, 1102332 (12 March 2019); doi: 10.1117/12.2521903
Show Author Affiliations
Zhifang Xiao, Hunan Agricultural Univ. (China)
Xilin Fang, Hunan Agricultural Univ. (China)
Yue Wang, Hunan Agricultural Univ. (China)
Rongliang Zeng, Hunan Zhong Ke Star Map Information Technology Co., Ltd. (China)
Jianhui Li, Hunan Zhong Ke Star Map Information Technology Co., Ltd. (China)
Guanghui Chen, Hunan Agricultural Univ. (China)


Published in SPIE Proceedings Vol. 11023:
Fifth Symposium on Novel Optoelectronic Detection Technology and Application
Qifeng Yu; Wei Huang; You He, Editor(s)

© SPIE. Terms of Use
Back to Top
PREMIUM CONTENT
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?
close_icon_gray