ALAT DETEKSI DINI KEMATANGAN OPTIMUM BUAH MANGGA (Mangifera indica) SECARA NON-DESTRUCTIVE BERBASIS TEKNOLOGI LDR (RESEP DEPENDEN CAHAYA)

Muhammad Khoir Syahbana(1*), Azwin Harfansah(2), Ikhwanuddin Ikhwanuddin(3),

(1) Universitas Sumatera Utara
(2) Universitas Sumatera Utara
(3) Universitas Sumatera Utara
(*) Corresponding Author




DOI: https://doi.org/10.26858/ijfs.v4i1.6009

Abstract


Technology which will be develoved on this study is aimed  to detect the maturity of the optimum mango to reduce the risk of mangoes that decay before the distribution is by utilizing LDR-based color sensor technology (Light Dependent Resistor). Where the principle works that is when given light on the surface of the skin of mango fruit then the light will be reproduced captured by the sensor and pass through the filter then if the same color then the filter will absorb the light. The results obtained that mango detected maturity level using LDR more efficient and accurate where mango has optimum maturity level has an output voltage interval of 150.68 mV - 155.45 mV. Where this technology is expected to increase mango productivity in Indonesia so as to increase exports to other countries that can support the world of agriculture.

Full Text:

PDF

References


Cai,Y., dan Zhang, L. 2012. “Average Color Vector Algorithm in Color recognation Based on A RGB Space” IEEE, hal. 1043-1047.

Dadwal, Meenu. Banga, V.K. 2012. “Estimate Ripeness Level of Fruits Using RGB Color Space and Fuzzy Logic Technique”. International Journal of Engineering and Advanced Technology, Vol 2 Issue 1, ISSN: 2249-8958, hal 225-229.

Halim, Arwin. Hardy. Dewi, Christina. Angkasa, Sulaiman. 2013. “Aplikasi Image Retrieval Menggunakan Kombinasi Metode Color Moment dan Gabor Texture”. Vol 14 No.2 ISSN. 1412-0100.

Santoso. 2006. Teknologi Pengawetan Bahan Segar. Malang: Laboratorium Kimia Pangan Faperta Uwiga

Syahrir, W.Md, Suryani, A., dan Connsynn. 2009. “Color Grading in Tomato Maturity Estimator using Image Processing Teqnique”. IEEE, hal. 276-280.

Vibhute, Anup, dan Bodhe, S.K. 2013. “Outdoor Illumination Estimation of Color Images”. IEEE, Communication and Signal Processing hal 331-334.

Wang, Qi., Wang, Hui., Xie, Lijuan., dan Zhang, Qin. 2012. “Outdoor Color Rating of Sweet Cherries using Computer Vision”. Science Direct, Computer and Electronics in Agriculture hal 113-120.


Article Metrics

Abstract view : 859 times | PDF view : 233 times

Refbacks

  • There are currently no refbacks.




Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.



Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.