Now showing items 1-3 of 3

    • The Feasibility Study of Utilising Electronic Nose and ANN for Plant Malaise Detection 

      Marni Azira, Markom; Ali Yeon, Md Shakaff, Prof. Dr.; Abdul Hamid, Adom, Assoc. Prof. Dr.; Mohd Noor, Ahmad, Prof. Dr.; Abu Hassan, Abdullah (Universiti Malaysia Perlis (UniMAP), 2008-03-15)
      The agricultural industry has been,for a long time, dependent upon human expertise in using odour for classification, grading, differentiating and discriminating different typesof produce. Odour was also used to determine ...
    • Ganobuster: Novel, Easy, and Clean Basal Stem Rot Detection System of the Palm Oil Trunk 

      Ali Yeon, Mohd Shakaff, Prof. Dr. (Principal); Mohd Noor, Ahmad, Prof. Dr.; Mohamed Zulkali, Mohamed Daud, Prof. Madya Dr.; Abdul Hamid, Adom, Prof. Madya Dr.; Abu Hassan, Abdullah; Farizul Hafiz, Kasim; Ahmad Faizal; Shah Fenner Khan; Anas, Mohd Noor; Norahim, Ibrahim; Noor Hasyierah, Mohd Salleh; Marni Azira, Markom (INPEX, 2007-06-06)
      The technology incorporates multi-disciplinary inputs in which data captured through the use of versatile sensors are analyzed using artificial neural networks (ANN) to be translated and presented into profiles considered ...
    • Ganobuster: Novel, Easy, and Clean Basal Stem Rot Detection System of the Palm Oil Trunk 

      Ali Yeon, Mohd Shakaff, Prof. Dr. (Principal); Mohd Noor, Ahmad, Prof. Dr.; Mohamed Zulkali, Mohamed Daud, Prof. Madya Dr.; Abdul Hamid, Adom, Prof. Madya Dr.; Abu Hassan, Abdullah; Farizul Hafiz, Kasim; Ahmad Faizal; Shah Fenner Khan; Anas, Mohd Noor; Norahim, Ibrahim; Noor Hasyierah, Mohd Salleh; Marni Azira, Markom (Malaysian Invention and Design Society (MINDS), 2006-05-19)
      The technology incorporates multi-disciplinary inputs in which data captured through the use of versatile sensors are analyzed using artificial neural networks(ANN) to be translated and presented into profiles considered ...