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     Advance Journal of Food Science and Technology


A High-Speed All-Digital Technique for Agricultural Spray Measurement and Flow Visualization Image Analysis in Pesticide Application

1Deyun Wei, 2Jun Lu, 3Hongtao Zhang and 4Yuxia Hu
1Department of Tianmu
2Department of Engineering, Zhejiang Agriculture and Forestry University, Linan, 311300, China
3Department of Electric Power, North China Institute of Water Conservancy and Hydroelectric Power, Zhengzhou, 450011, China
4Department of Electric Engineering, Zhengzhou University, Zhengzhou, 450001, China
Advance Journal of Food Science and Technology  2013  1:1-4
http://dx.doi.org/10.19026/ajfst.5.3308  |  © The Author(s) 2013
Received: September 25, 2012  |  Accepted: November 15, 2012  |  Published: January 15, 2013

Abstract

In order to solve the faults in usual measurements of droplet distribution and motion in agricultural spraying field, a new method is given for the analysis of droplets characteristics and motion with PDIA (Particle/ Droplet Image Analysis) and digital image processing technique. During the analysis of the size of droplet and the velocity, images of droplets in spray field have been captured by using high-speed imager. The parameter of droplet such as size, perimeter, equivalent diameter, shape factor and position etc., have been calculated with digital image processing technology. The trace of droplet in different frames has been tracked with the method, which is based on flag tracking and droplet neighborhood matching probability technique. The results showed this method can both realize the motion trace of droplet in different image frames and analyses the velocity of droplet. This technique can detect the droplet parameters quickly and accurately for agricultural sprays and provide the basic way for research on flow visualization image analysis in pesticide application.

Keywords:

Digital image processing, flow visualization, high-speed imager, PDIA,


References


Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2042-4876
ISSN (Print):   2042-4868
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