scholarly journals Design, development, and evaluation of a target oriented weed control system using machine vision

2019 ◽  
Vol 43 (2) ◽  
pp. 164-173 ◽  
Author(s):  
Ömer Barış ÖZLÜOYMAK ◽  
Ali BOLAT ◽  
Ali BAYAT ◽  
Emin GÜZEL
Keyword(s):  
Control System ◽  
Machine Vision ◽  
Weed Control ◽  
Design Development

scholarly journals Design and development of a servo-controlled target-oriented robotic micro-dose spraying system in precision weed control

2021 ◽  
Vol 42 (2) ◽  
pp. 635-656
Author(s):  
Ömer Baris Özlüoymak ◽  
Keyword(s):  
Control System ◽  
Machine Vision ◽  
Mobile Robot ◽  
Weed Control ◽  
Coverage Rate ◽  
Robotic Platform ◽  
Labview Software ◽  
Filter Papers ◽  
Spraying Method ◽  
Application Volume

The broadcast spraying method using excessive amounts of pesticides is generally preferred for weed control in agriculture. In this study, a mobile robot was developed and tested on artificial weed targets for a micro-dose spraying system to reduce amount of liquid sprayed for weed control. A prototype mobile robot consisting of a robotic platform, machine vision and steerable spraying unit was constructed and controlled by using LabVIEW software and tested to evaluate the applicability of the spraying system. The greenness method and segmentation algorithm were used to extract artificial weeds from the background. The artificial weed samples were treated according to their coordinates by using a servo-based micro-dose spraying needle nozzle. The experiments were carried out at speeds of 0.42, 0.54, 0.66, 0.78 and 0.90 km h-1 to evaluate the performance of the spraying system under laboratory conditions. The tracking and targeting performances of the mobile spraying system were observed visually. Consumption, deposition and coverage rate experiments were carried out by using graduated cups, filter papers and water-sensitive papers to evaluate the spraying efficiency of the system under 200 kPa of spraying pressure. The results showed that the targeted micro-dose spraying method saved approximately 95% of the application volume compared with the broadcast spraying method. Higher spraying efficiency was determined at the middle locations rather than at the edge locations according to the amount of deposition and coverage rate results. The servo-controlled target-oriented weed control system that was developed was tested experimentally and found to be very efficient.

Classroom Lighting Energy-Saving Control System Based on Machine Vision Technology

2018 ◽  
pp. 143-149 ◽  
Author(s):  
Ruijie CHENG
Keyword(s):  
Control System ◽  
Machine Vision ◽  
Energy Saving ◽  
Back Propagation ◽  
Back Propagation Neural Network ◽  
Lighting Control ◽  
Lighting Energy ◽  
Neural Network Algorithm ◽  
Energy Saving Control ◽  
Model Algorithm

In order to further improve the energy efficiency of classroom lighting, a classroom lighting energy saving control system based on machine vision technology is proposed. Firstly, according to the characteristics of machine vision design technology, a quantum image storage model algorithm is proposed, and the Back Propagation neural network algorithm is used to analyze the technology, and a multi­feedback model for energy­saving control of classroom lighting is constructed. Finally, the algorithm and lighting model are simulated. The test results show that the design of this paper can achieve the optimization of the classroom lighting control system, different number of signals can comprehensively control the light and dark degree of the classroom lights, reduce the waste of resources of classroom lighting, and achieve the purpose of energy saving and emission reduction. Technology is worth further popularizing in practice.

scholarly journals Research on intelligent control system based on machine vision

2018 ◽  
Vol 23 ◽  
pp. 629-632
Author(s):  
Ce Bian ◽  
Fengzhi Dai ◽  
Meili Li ◽  
Yuxing Ouyang ◽  
Yiqiao Qin ◽  
...  
Keyword(s):  
Control System ◽  
Machine Vision ◽  
Intelligent Control ◽  
Intelligent Control System

Design of Single Roller Scutcher Control System Based on PLC

2012 ◽  
Vol 546-547 ◽  
pp. 795-799
Author(s):  
Yin Feng Wu ◽  
Jian Wei Liang ◽  
Ling Liang
Keyword(s):  
Control System ◽  
Control Level ◽  
Control Program ◽  
Programmable Logic ◽  
Design Development ◽  
Test Program ◽  
Speed Test ◽  
Plc Control ◽  
Development Cycle ◽  
Pressure Stability

This paper analyzes the control requirements of scutcher and introduces the control system scheme which is composed of programmable logic controller, touch panel and inverter. And it emphasizes the hardware constitution of S7-200 PLC control system, the pressure detection and display of cotton feeding pipeline, together with the principles of the beater speed test program and the control program of cotton feeding motor.The scutcher control system can feed cotton continuously and equably and ensure the pressure stability of the cotton feeding pipeline. In this way, it can adjust process conveniently, decrease fault rate and cut the design development cycle of new equipments to improve the control level of textile machinery.

‘New Lamps for Old!’ A Method to Rejuvenate Old Robots through the Use of a Simple Set of Microcontroller-Based Control Boards to Replace Outdated Control Systems

2005 ◽  
Vol 33 (4) ◽  
pp. 339-348 ◽  
Author(s):  
P. Brunn ◽  
A. W. Labib
Keyword(s):  
Control System ◽  
Control Systems ◽  
Manufacturing Systems ◽  
Low Cost ◽  
Welding Robot ◽  
Design Development ◽  
Simple Set

The paper describes the design, development, testing and use of a microcontroller- and PC-based control system which was used to repair and enhance an ASEA IRB6 welding robot in the authors' laboratory. The principles described could be applied to any robot of similar age and to provide a low-cost route to revitalise any working robot hardware that is limited by an outdated control system. The proposed approach addresses a problem within many manufacturing systems operating in industry.

Pests & weed control autonomous robot using machine vision

2021 ◽  
Author(s):  
Vivek K K ◽  
Sidharth R ◽  
Rohit P ◽  
Vishagan S ◽  
Peeyush K P
Keyword(s):  
Machine Vision ◽  
Weed Control ◽  
Autonomous Robot
Sign in / Sign up

Export Citation Format

Share Document