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

DOI: http://dx.doi.org/10.30865/mib.v4i3.2144

Abstract

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

Keywords


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

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