Experiment study of real-time recognition of weeds in cotton field based on DSP

Author

Dongfu, Yin ; Shuren Chen ; Wenchao, Pei ; Xiang, Zhou ; Zujue, Chen

Author_Institution

Key Lab. of Modern Agric. Equip. & Technol., Minist. of Educ., Beijing, China

fYear

2011

fDate

27-29 May 2011

Firstpage

258

Lastpage

262

Abstract

Considering of large amount of data and complexity of calculating in recognition of weeds from cotton fields, the research on real-time recognition of weeds from cotton fields was developed based on DSP chip TMS320DM642. The structure and feature of TMS320DM642 had been analyzed. Also several image processing procedures, including image segmentation, image filter processing, division of spray area and weed recognition whose rate is 86.7% had been studied. Because of quick image processing of DSP, real-time recognition of weed in cotton fields was increased. The average time of processing an image is 976.3ms, which can make the movement speed of weeds on the platform faster than 0.2m/s. The tests showed that real-time recognition system can meet the requirements of precise spraying on target in cotton fields.

Keywords

agriculture; agrochemicals; crops; digital signal processing chips; filtering theory; image segmentation; object recognition; production engineering computing; spraying; DSP chip; TMS320DM642; cotton field; image filter processing; image processing; image segmentation; precise spraying techonogy; spray area division; weed movement speed; weed real-time recognition; Cotton; Digital signal processing; Image color analysis; Image segmentation; Real time systems; Spraying; Streaming media; TMS320DM642; real-time; recognition; weed;

fLanguage

English

Publisher

ieee

Conference_Titel

New Technology of Agricultural Engineering (ICAE), 2011 International Conference on

Conference_Location

Zibo

Print_ISBN

978-1-4244-9574-0

Type

conf

DOI

10.1109/ICAE.2011.5943798

Filename

5943798