Digital Image Processing for Detecting and Classifying Plant Diseases

Agriculture is the backbone of human sustenance in this world. With growing population, there is need for increased productivity in agriculture to be able to meet the demands. Diseases can occur on any part of a plant, but in this paper only the symptoms in the fruits of a plant is considered using segmentation algorithm and edge/ sizing detectors. We also looked at image processing using fuzzy logic controller. The system was designed using object oriented analysis and design methodology. It was implemented using MySQL for the database, and PHP programming language. This system will be of great benefit to farmers and will encourage them in investing their resources since crop diseases can be detected and eliminated early.

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Object Detection Robot Using Fuzzy Logic Controller Through Image Processing

Journal of Physics Conference Series ◽

10.1088/1742-6596/1737/1/012045 ◽

2021 ◽

Vol 1737 (1) ◽

pp. 012045

Author(s):

M Khairudin ◽

S Yatmono ◽

AC Nugraha ◽

M Ikhsani ◽

A Shah ◽

...

Keyword(s):

Image Processing ◽

Fuzzy Logic ◽

Object Detection ◽

Fuzzy Logic Controller

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Hybrid Neural-Fuzzy Controller for Motorized Robot Arm

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.403-408.5068 ◽

2011 ◽

Vol 403-408 ◽

pp. 5068-5075

Author(s):

Fatma Zada ◽

Shawket K. Guirguis ◽

Walied M. Sead

Keyword(s):

Fuzzy Logic ◽

Design Methodology ◽

Fuzzy Logic Controller ◽

Fuzzy Controller ◽

System Response ◽

Robot Arm ◽

Neural Controller ◽

Hybrid Controller ◽

Neural Fuzzy ◽

Transient And Steady State

In this study, a design methodology is introduced that blends the neural and fuzzy logic controllers in an intelligent way developing a new intelligent hybrid controller. In this design methodology, the fuzzy logic controller works in parallel with the neural controller and adjusting the output of the neural controller. The performance of our proposed controller is demonstrated on a motorized robot arm with disturbances. The simulation results shows that the new hybrid neural -fuzzy controller provides better system response in terms of transient and steady-state performance when compared to neural or fuzzy logic controller applications. The development and implementation of the proposed controller is done using the MATLAB/Simulink toolbox to illustrate the efficiency of the proposed method.

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Application of Object-Oriented Analysis and Design Methodology in modeling of University Administrative Information System

10.20935/al3853 ◽

2021 ◽

Author(s):

Ifeanyi Nwokoro ◽

Obikwelu Okonkwo (Prof) ◽

Rita Uzoma Alo (Dr) ◽

Augustina Nebechi Nwatu

Keyword(s):

Information System ◽

Design Methodology ◽

Object Oriented ◽

Analysis And Design ◽

Administrative Information ◽

Object Oriented Analysis

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A Development of the Unified Object-Oriented Analysis and Design Methodology for Security-Critical Web Applications Based on Object-Relational Database - Forcusing on Oracle11g -

Journal of the Korea Society of Computer and Information ◽

10.9708/jksci/2012.17.12.169 ◽

2012 ◽

Vol 17 (12) ◽

pp. 169-177 ◽

Cited By ~ 2

Author(s):

Kyung-Soo Joo ◽

Jung-Woong Woo

Keyword(s):

Relational Database ◽

Design Methodology ◽

Web Applications ◽

Object Oriented ◽

Analysis And Design ◽

Object Relational ◽

Object Oriented Analysis

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An Advanced Fuzzy Logic Based Traffic Controller

International Journal of Innovation in the Digital Economy ◽

10.4018/ijide.2014010103 ◽

2014 ◽

Vol 5 (1) ◽

pp. 31-40

Author(s):

Bilal Ahmed Khan ◽

Nai Shyan Lai

Keyword(s):

Image Processing ◽

Fuzzy Logic ◽

Traffic Management ◽

Fuzzy Logic Controller ◽

Current Model ◽

Traffic Signals ◽

Processing Technique ◽

Urban Traffic ◽

Image Processing Technique ◽

Traffic Light

Traffic light plays an important role in the urban traffic management. Therefore, it is necessary to improve the traffic controller for effective traffic management and better traffic flow leading to greener environment. In this paper, an advanced and intelligent traffic light controller is proposed, utilising the fuzzy logic technology and image processing technique. A fuzzy logic control has been implemented to provide the attribute of intelligence to the system. For real-time image acquisition, the process is further linked to the fuzzy logic controller which generates a unique output for each input pattern. Here image processing and fuzzy logic tool boxes of MATLAB are used where the final output is sent to Peripheral Interface Controller (PIC) microcontroller to drive the traffic signals in the desired manner. The results obtained show an improvement of 44% in the overall outcome of traffic management as compared to the conventional traffic controller, marking great feasibility and practicality of the current model.

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