مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

video

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

sound

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Version

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View:

1,393
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

0
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

Information Journal Paper

Title

TASTE DETERMINATION OF THOMPSON ORANGE USING IMAGE PROCESSING BASED ON ANFIS AND ANN-GA METHODS

Pages

  45-55

Abstract

 The diversity and abundance of quality characteristics of agricultural products, has been the main reason for the development of non-destructive methods. MACHINE VISION and artificial intelligence are powerful techniques for diagnosing most physical, mechanical and chemical properties of agricultural products. Before export fruits are classified by shape, volume and weight. Ranking fruit through TASTE (sweet or tart) non-destructively plays an important role in marketing, choice power and its application. In this research, it was detect the TASTE of Thompson orange while combining artificial intelligence (AI) and visual machine technique. A closed circuit digital installed in special frame, under specific height and light was used to take picture from samples vertically. Also, an algorithm (program) based on AI was developed to diagnose the variety and TASTE of Thompson orange through apparent characteristics in Matlab software. The results showed that the success rate of TASTE determination for Thompson orange using ANFIS and ANN-GA (Artificial Neural Network-Genetic Algorithm) was 96.67 and 90.0% respectively.

Cites

  • No record.
  • References

  • No record.
  • Cite

    APA: Copy

    ADELKHANI, A., BEHESHTI, BABAK, MINAEI, SAEID, & JAVADIKIA, HOSSEIN. (2016). TASTE DETERMINATION OF THOMPSON ORANGE USING IMAGE PROCESSING BASED ON ANFIS AND ANN-GA METHODS. IRANIAN JOURNAL OF FOOD SCIENCE AND TECHNOLOGY, 13(56), 45-55. SID. https://sid.ir/paper/71839/en

    Vancouver: Copy

    ADELKHANI A., BEHESHTI BABAK, MINAEI SAEID, JAVADIKIA HOSSEIN. TASTE DETERMINATION OF THOMPSON ORANGE USING IMAGE PROCESSING BASED ON ANFIS AND ANN-GA METHODS. IRANIAN JOURNAL OF FOOD SCIENCE AND TECHNOLOGY[Internet]. 2016;13(56):45-55. Available from: https://sid.ir/paper/71839/en

    IEEE: Copy

    A. ADELKHANI, BABAK BEHESHTI, SAEID MINAEI, and HOSSEIN JAVADIKIA, “TASTE DETERMINATION OF THOMPSON ORANGE USING IMAGE PROCESSING BASED ON ANFIS AND ANN-GA METHODS,” IRANIAN JOURNAL OF FOOD SCIENCE AND TECHNOLOGY, vol. 13, no. 56, pp. 45–55, 2016, [Online]. Available: https://sid.ir/paper/71839/en

    Related Journal Papers

    Related Seminar Papers

  • No record.
  • Related Plans

  • No record.
  • Recommended Workshops






    Move to top
    telegram sharing button
    whatsapp sharing button
    linkedin sharing button
    twitter sharing button
    email sharing button
    email sharing button
    email sharing button
    sharethis sharing button