Wheat Posture Acquisition System Based on Infrared Tracer Robot Design and Experiment

Abstract Background:To investigate the effect of drought stress on wheat posture.Methods:An image acquisition system based on an infrared tracing robot was developed and a graphical user interface (GUI) software was designed to simplify the operation control of the robot. In this experiment, three genotypes of wheat, Ruihuamai 523, Jimai 22 and Xumai 33, were grown in indoor pots, and the images of wheatposture from flowering stage to maturity were collected to extract morphological parameters such as plant height, stem width and leaf inclination angle. Results:The experimental results showed that the deviation of linear trajectory was less than 3 mm when the robot traveled in a straight line at 0.4 m/s in the greenhouse; the image acquisition efficiency was about 18 images/min;the collected pictures of drought-stressed and control potted wheat groups can be used for posture assessment; the accuracy of wheat plant height and stem width with manual acquisition was 84.6% and 79.2%, respectively. After statistical analysis, it was concluded that drought stress and genotype and other influencing factors had no significant effect on plant height and stem width, but had a greater effect on leaf inclination angle.Conclusions:Therefore, this system can be used for posture collection of wheat.

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THE HARVARD BINOCULAR HEAD

International Journal of Pattern Recognition and Artificial Intelligence ◽

10.1142/s0218001493000029 ◽

1993 ◽

Vol 07 (01) ◽

pp. 9-31 ◽

Cited By ~ 21

Author(s):

NICOLA J. FERRIER ◽

JAMES J. CLARK

Keyword(s):

Image Acquisition ◽

Acquisition System ◽

Camera Motion ◽

Imaging Parameters ◽

Image Acquisition System ◽

Camera Position ◽

And Control

The ability to dynamically control the imaging parameters such as camera position, focus, and aperture is satisfied through the use of special purpose hardware such as a robotic head. This paper presents the design and control aspects of the Harvard Head, a binocular image acquisition system. We present three applications of the head in vision tasks concentrating on the computation of depth from controlled camera motion.

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Design of embedded acoustic image acquisition system for wireless sensor network

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-219106 ◽

2021 ◽

pp. 1-8

Author(s):

Xiaoping Huang ◽

Fangyi Wen ◽

Zhongxin Wei

Keyword(s):

Transmission Rate ◽

Image Acquisition ◽

Transmission System ◽

Video Data ◽

Wireless Transmission ◽

Acquisition System ◽

Wireless Sensor ◽

Acoustic Image ◽

Image Acquisition System ◽

Embedded Image

In recent years, with the development of communication technology, embedded computing technology and sensor technology, it has become increasingly mature. Micro sensors with sensing, computing and communication capabilities have appeared in large numbers and developed rapidly, making wireless sensor networks widely used. People put forward higher requirements for the accuracy, reliability and flexibility of the image acquisition system. The image transmission system using analog technology not only has low image quality, but also has a serious waste of system resources, is not easy to form a complex network structure, and has poor functional scalability. In view of the actual needs of the current image acquisition and wireless transmission system, based on embedded technology, image acquisition, processing technology and network transmission technology, this paper proposes and designs a low-cost, high-reliability embedded image acquisition and wireless transmission system. Experimental tests show that this system has reasonable design, high video coding efficiency, good image continuity, stable operation, and basically realizes the display, storage and playback functions of the collected video data. Improve the transmission rate of the system and reduce the distortion caused by compression in terms of image compression. At the same time, it supports multiple image resolutions, frame rate options and multiple video formats, and the system’s transmission rate can adapt to the state of the network. This design fulfills the basic requirements of an embedded image acquisition system based on network technology, and provides a good foundation for the next development of a gigabit network-based image acquisition system.

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