Now showing items 1-5 of 5

    • Development of a mobile robot with vision based perception for mechanical weed control 

      Muhammad Hafiz, Abdul Karim (Universiti Malaysia Perlis (UniMAP)School of Computer and Communication Engineering, 2015-06)
      Field of digital image processing is gaining attention worldwide because researchers use technology extensively in various applications in everyday life. Therefore, an investigation was carried out for the purpose of ...
    • Development of a portable electronic nose for plants species detection using embedded android based system 

      Shahrul Hussain, Shahul Hamid (Universiti Malaysia Perlis (UniMAP)School of Computer and Communication Engineering, 2015-06)
      The ability to classify distinctive odor pattern for aromatic plants species provides significant impact in several industries such as food industry and medical industries. Each plant species has a unique physicochemical ...
    • Development of automated fruit grading system using vision and artificial intelligent technique 

      Muhamad Amin Zunaidi, Zainal Abidin (Universiti Malaysia Perlis (UniMAP)School of Computer and Communication Engineering, 2015-06)
      Fruit grading system is a system to identify the level of maturity of the fruit using image processing techniques. This system is used to streamline grade fruit with fruit isolated in three groups: unripe, ripe and ...
    • Development of car plate recognition using using image processing and artifial intelligent algorithm 

      Muhammad Syafiq, Mohd Sharif (Universiti Malaysia Perlis (UniMAP)School of Computer and Communication Engineering, 2015-06)
      Car plate recognition is one of the most important aspects of applying computer techniques towards transportation systems. In recognizing a car plate efficiently, the location of the car plate must be detected in the ...
    • Development of remote sensing for plant stress detection 

      Ayu Fitrie Haziqah, Sallehuddin (Universiti Malaysia Perlis (UniMAP)School of Computer and Communication Engineering, 2015-06)
      Early detection of plant stress is important in agriculture world in order to minimize crop losses. Previously, plant stress detection was done manually, so there’s a limitation in manpower ability. There are various methods ...