Estimasi Volume Buah Kiwi Menggunakan Metode Pencitraan dan Aturan Simpson

 (*)Tomy Suherly Mail (Universitas Riau, Pekanbaru, Indonesia)
 Minarni Shiddiq (Universitas Riau, Pekanbaru, Indonesia)

(*) Corresponding Author

Submitted: April 28, 2020; Published: July 20, 2020



Volume is one of important quantities that have been applied to fruit sorting based on size. Imaging method or computer vision is a simple non destructive method that has been proposed to measure fruits volume. This study was aimed to estimate the volumes of kiwi fruits using Computer Vision imaging method and compared to a water displacement method. The samples were 20 green kiwi fruits (Actinidia deliciosa). A smartphone camera was used to record the kiwifruit images and Python based program to drive the camera and process the images.  Images resulted in Computer Vision are two dimensions (2D) images. The 1/3 rd Simpson rule was employed to determine the volume of kiwi fruits based on the volume integration of a spinning object where surface image of kiwi was divided into 8 parts and then summed. The results show that the 2D imaging method assisted by the Simpson rule was successfully able to determine the kiwi fruit volumes with 4.57 % average difference percentage compared to the water displacement method. This was about 4.97 cm3 of average volume difference of 20 samples. The sample volumes measured using this method ranges from 82,48 cm3 - 126,85 cm3. These results will be one of steps toward the development of machine vision for fruit sorter based on volume


Computer Vision, 1/3 rd Simpson Rule, Volume, Kiwi Fruit, Python

Full Text:


Article Metrics

Abstract View: 197 times | PDF View: 106 times


R. Mahendran, G.C. Jayashree, and K. Alagusundaram, “Application of Computer Vision Technique on Sorting and Grading of Fruits and Vegetables,” J. Food Process. Technol S1-001, 2012, doi:10.4172/2157-7110.S1-001

W. R. Ashok, M. S. Panse, and H. Apte, “Laser Triangulation Based Object Height Measurement,” International Journal For Research In Emerging Science And Technology, Vol. 2. No.3, 61-66 , 2015

H. Wang, J. Peng, C. Xie, Y. Bao, and Y. He, “Fruit quality evaluation using spectroscopy technology: A review,” Sensors (Basel). Vol 15. No.5. 11889-11927 2015, doi: 10.3390/s150511889

J. A. Kodagali and S. Balaji, “Computer Vision and Image Analysis based Techniques for Automatic Characterization of Fruits a Review,” Int. J. Comput. Appl., Vol. 50. No. 6. 6-12. 2012, doi: 10.5120/7773-0856.

G. Rateni, P. Dario, and F. Cavallo, “Smartphone-based food diagnostic technologies: A review,” Sensors (Switzerland). Vol. 17. 1453. 2017, doi: 10.3390/s17061453.

S. Jatmika and D. Purnamasari, “Rancang Bangun Alat Pendeteksi Kematangan Buah Apel Dengan Menggunakan Metode Image Processing Berdasarkan Komposisi Warna,” J. Ilm. Teknol. Inf. Asia, Vol. 8. No.1. 2014.

P. Zhou, C. Zhao, J. Wang, W. Zheng, Z. Sun, and Y. Wen, “Egg geometry calculations based on machine vision,” Nongye Jixie Xuebao/Transactions Chinese Soc. Agric. Mach., 2010, doi: 10.3969/j.issn.1000-1298.2010.05.034.

M. A. Momin, M. T. Rahman, M. S. Sultana, C. Igathinathane, A. T. M. Ziauddin, and T. E. Grift, “Geometry-based mass grading of mango fruits using image processing,” Inf. Process. Agric., vol. 4, No. 2, pp. 150–160, 2017, doi: 10.1016/j.inpa.2017.03.003.

R. Fellegari and H. Navid, “Determining the orange volume using image processing,” Vol. 9, pp. 180–184, 2011.

M. Omid, M. Khojastehnazhand, and A. Tabatabaeefar, “Estimating volume and mass of citrus fruits by image processing technique,” J. Food Eng., Vol 100. No. 2. 315-321. 2010.

N. Herfina, A. Amrullah, and J. Junaidi, “Efektivitas Metode Trapesium dan Simpson Dalam Penentuan Luas Menggunakan Pemrograman Pascal,” Mandalika Math. Educ. J., Vol 1.No 1. 53-63. 2019, doi: 10.29303/jm.v1i1.1242.

J. Siswantoro, M. Y. Hilman, and M. Widiasri, “Computer vision system for egg volume prediction using backpropagation neural network,” in IOP Conference Series: Materials Science and Engineering, 2017, doi: 10.1088/1757-899X/245/1/012002

.N. Made, R. Ratih, and C. Perbani, “Penerapan Hitungan Volume Metode Simpson untuk Menghitung Volume Kapal dan Topografi Darat,” Jurnal Rekayasa Hijau Vol. 2, No. 1. 90–100, 2018.

K. V Shastri, V. Bhatia, P. R. Parikh, and V. N. Chaphekar, “Actinidia Deliciosa : A Review,” J. Pharm. Sci. Res., Vol. 3, No. 10, 3543–3549, 2012.

J. Burdon, D. Mcleod, N. Lallu, J. Gamble, M. Petley, and A. Gunson, “Consumer evaluation of ‘ Hayward ’ kiwifruit of different at-harvest dry matter contents,” Postharvest Biol. Technol., vol. 3, pp. 245–255, 2013.

S. M. A. Razavi and M. Bahramparvar, “Some physical and mechanical properties of kiwifruit,” Int. J. Food Eng., Vol. 3, No. 6. 2007, doi: 10.2202/1556-3758.1276.

M. Rashidi and M. Gholami, “Determination of kiwifruit volume using ellipsoid approximation and image-processing methods,” Int. J. Agric. Biol., Vol 10. No. 4, 375–380 2008

L. Fu, S. Sun, R. Li, and S. Wang, “Classification of kiwifruit grades based on fruit shape using a single camera,” Sensors (Switzerland), Vol 16. No. 7. 2016, doi: 10.3390/s16071012.

L. Xu, Y. Feng, Z. Fan, and D. Yun, “Research into the grading method of kiwi fruit based on volume estimation and surface defect,” INMATEH - Agric. Eng., Vol. 44. No. 3. 2014.

Bila bermanfaat silahkan share artikel ini

Berikan Komentar Anda terhadap artikel Estimasi Volume Buah Kiwi Menggunakan Metode Pencitraan dan Aturan Simpson


  • There are currently no refbacks.


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

STMIK Budi Darma
Sekretariat : Jln. Sisingamangaraja No. 338 Telp 061-7875998
email :

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