Discrimination of the Lettuce Leaf Nitrogen Level Based on the BP Neural Network and the Spectral Information

Jun Sun; Xia Ming Jin; Ze Gao Dai; Mei Xia Zhang; Xin Chen Shen; Wen Xia Lv

doi:10.4028/www.scientific.net/AMR.756-759.1993

Paper Titles

The Important Position of Computer Aided Design in Architectural Creation
p.1973

Joint Subcarrier and Power Allocation for Uplink Spectrum Sharing in Cognitive OFDM Networks: A Waterfilling Based Approach
p.1979

A Research and Implement of Data Storage and Management Method Based on the Embedded MCU Data Flash
p.1984

The Application of WiFi Technology in IPTV STB
p.1989

Discrimination of the Lettuce Leaf Nitrogen Level Based on the BP Neural Network and the Spectral Information
p.1993

Development of Web-Based Experiment for Integer Programming Using Java Applet
p.1998

A New Complicated Report Generation Scheme Base on XML and MS Word in B/S Model
p.2003

The Research and Design of SOA-Based Systems
p.2008

MARM: Mobile Augmented Reality Map Based on Wireless GIS
p.2014

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 756-759Discrimination of the Lettuce Leaf Nitrogen Level...

Discrimination of the Lettuce Leaf Nitrogen Level Based on the BP Neural Network and the Spectral Information

Abstract:

According to the problem that the intelligence is not high of the soccer robot, using the mechanical theory as a guide, making some mechanical analyses and calculations on the pressure and transmutation states of chip kick mechanics, and conducting optimal design too, then making the structure of chip kick mechanics more and more rationalization. Experiments show that the new soccer robot controller features a quick response and high servo rigidity, and provide a kind of method for improving and perfecting the soccer robot control system, at the same time, filling the needs of producing.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 756-759)

Pages:

1993-1997

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.756-759.1993

Citation:

Cite this paper

Online since:

September 2013

Authors:

Jun Sun, Xia Ming Jin, Ze Gao Dai, Mei Xia Zhang, Xin Chen Shen, Wen Xia Lv

Keywords:

BP Neural Network (BPNN), Feature Band, Lettuce, Piecewise Principal Component, Spectral

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] ShiTongWang<http: /www. ystong. com/food/20096/fc8586dfa4d1bc0e. html>.

Google Scholar

[2] YangJianGang. Artificial neural network practical tutorial. Zhejiang, zhejiang university press. 2001, 6.

Google Scholar

[3] XuLei, "how many mooncakes one gets measures, LiYanHua etc. Based on BP artificial neural network of remote sensing image classification. Geographic space information, 2012, (4) : 83-88.

Google Scholar

[4] FanChao, XiaXu, ShiXiaoFeng etc. Based on optimization neural network classification of wheat varieties. Journal of henan university of technology (natural science edition), 2012, 55 (4) : 72-76.

Google Scholar

[5] LiYongLiang, LinHui, SunHua etc. Based on the BP neural network of forest tree species classification research. Zhongnan forestry university of science and technology journal. 2010, 21 (11) : 43 -46.

Google Scholar

[6] HanPing, Li qichao, YangGongWei. Based on artificial neural network classification of grain pests. Journal of henan university of technology (natural science edition). 2010, 31 (3) : 72-75.

Google Scholar

[7] TangYun, LuoJunSong. Based on rough set and the BP neural network text classification. 2011. The computer simulation 47 (6) : 219-223.

Google Scholar