Cantaloupe Ripeness Detection Using Electronic Nose

被引:1
|
作者
Gabriel, John Patrick O. [1 ]
Cabunilas, Mary Kris R. [1 ]
Villaverde, Jocelyn F. [1 ]
机构
[1] Mapua Univ, Sch Elect Elect & Comp Engn, Manila, Philippines
关键词
Arduino; Cantaloupe; Ethanol; Fuzzy Logic; Mathlab; MQ3; Overripe; Ripe; Unripe;
D O I
10.1109/ICCAE55086.2022.9762434
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Cantaloupe has been widely served as a delicacy food to be enjoyed, while it provides essential proteins a fruit usually provides for the human body. However, cantaloupe is one kind of fruit that can have different states mainly unripe, ripe, or overripe while having its physical looks retained. The objective of this paper is to determine the current status of the fruit without the need of breaking open the fruit with the help of the MQ3 sensor. As the fruit generates ethanol, the odor that comes from it can be used as a source of information to determine its ripeness. Using the MQ3 sensor, Arduino, and Fuzzy Logic with Mathlab, the researchers will attempt to determine the fruit's ripeness without having to break open the fruit. It has been observed that the cantaloupe releases enough ethanol to be detected by the electronic nose. It can be confirmed that the cantaloupe, given enough time, can have its ripeness detected by the MQ3 sensor.
引用
收藏
页码:44 / 49
页数:6
相关论文
共 50 条
  • [1] Detection of ripeness grades of berries using an electronic nose
    Aghilinategh, Nahid
    Dalvand, Mohammad Jafar
    Anvar, Adieh
    FOOD SCIENCE & NUTRITION, 2020, 8 (09): : 4919 - 4928
  • [2] Fruit ripeness monitoring using an Electronic Nose
    Brezmes, J
    Llobet, E
    Vilanova, X
    Saiz, G
    Correig, X
    SENSORS AND ACTUATORS B-CHEMICAL, 2000, 69 (03) : 223 - 229
  • [4] Fruit ripeness monitoring using an Electronic Nose
    Brezmes, J.
    Llobet, E.
    Vilanova, X.
    Saiz, G.
    Correig, X.
    2000, Elsevier Sequoia SA, Lausanne, Switzerland (69)
  • [5] Evaluation of an electronic nose to assess fruit ripeness
    Brezmes, J
    Fructuoso, MLL
    Llobet, E
    Vilanova, X
    Recasens, I
    Orts, J
    Saiz, G
    Correig, X
    IEEE SENSORS JOURNAL, 2005, 5 (01) : 97 - 108
  • [6] Mandarin ripeness monitoring and quality attribute evaluation using an electronic nose technique
    Gomez, A. H.
    Wang, J.
    Pereira, A. G.
    TRANSACTIONS OF THE ASABE, 2007, 50 (06) : 2137 - 2142
  • [7] Application of Electronic-Nose for Identification of Ripeness Stage of Durian
    Pokhum, C.
    Chawengkijwanich, C.
    Maolanon, R.
    SOUTHEAST ASIA SYMPOSIUM ON QUALITY AND SAFETY OF FRESH AND FRESH-CUT PRODUCE, 2010, 875 : 319 - 327
  • [8] Neural network based electronic nose for apple ripeness determination
    Hines, EL
    Llobet, E
    Gardner, JW
    ELECTRONICS LETTERS, 1999, 35 (10) : 821 - 823
  • [9] Neural network based electronic nose for apple ripeness determination
    Div. of Elec. and Electron. Eng., School of Engineering, Warwick University, Coventry CV4 7AL, United Kingdom
    不详
    Electron. Lett., 10 (821-823):
  • [10] Detection and identification of odorants using an electronic nose
    Polikar, R
    Shinar, R
    Honavar, V
    Udpa, L
    Porter, MD
    2001 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS I-VI, PROCEEDINGS: VOL I: SPEECH PROCESSING 1; VOL II: SPEECH PROCESSING 2 IND TECHNOL TRACK DESIGN & IMPLEMENTATION OF SIGNAL PROCESSING SYSTEMS NEURALNETWORKS FOR SIGNAL PROCESSING; VOL III: IMAGE & MULTIDIMENSIONAL SIGNAL PROCESSING MULTIMEDIA SIGNAL PROCESSING - VOL IV: SIGNAL PROCESSING FOR COMMUNICATIONS; VOL V: SIGNAL PROCESSING EDUCATION SENSOR ARRAY & MULTICHANNEL SIGNAL PROCESSING AUDIO & ELECTROACOUSTICS; VOL VI: SIGNAL PROCESSING THEORY & METHODS STUDENT FORUM, 2001, : 3137 - 3140