Applying Linear Regression to Estimate Weight of Non Axi-Symmetric fruit

Weight is an important parameter in fruits’ quality identification. Measuring fruits’ weight using scale is tedious since fruits must be taken from tree and placed on contact to scale. Many researches have proposed non-contact estimation methods of fruits’ weight using 2D images. The studies...

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Main Authors: Hurriyatul Fitriyah, Eko Setiawan, Muhammad Rifqi Radifan Masruri
Format: Article
Language:English
Published: University of Brawijaya 2020-07-01
Series:JITeCS (Journal of Information Technology and Computer Science)
Online Access:https://jitecs.ub.ac.id/index.php/jitecs/article/view/163
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author Hurriyatul Fitriyah
Eko Setiawan
Muhammad Rifqi Radifan Masruri
author_facet Hurriyatul Fitriyah
Eko Setiawan
Muhammad Rifqi Radifan Masruri
author_sort Hurriyatul Fitriyah
collection DOAJ
description Weight is an important parameter in fruits’ quality identification. Measuring fruits’ weight using scale is tedious since fruits must be taken from tree and placed on contact to scale. Many researches have proposed non-contact estimation methods of fruits’ weight using 2D images. The studies were commonly applied in axi-symmetric fruits, such oranges. In this paper, an algorithm to estimate weight of non axi-symmetric fruit is developed. It used a Linear Regression rather than geometric-based methods as proposed by other researches. The non axi-symmetric fruits chosen was star fruits. It is a challenging fruits since its basic shape is not round but irregular star shape. The estimation used pixel count from one-view image of the fruits’ projection as feature. The proposed method has RMSE of 16.322 Gram and MAPE of 7.089% compare to the expected weights. It also has high Coefficient of Determination, R^2, 0.8829 compare to the weight scale measurement.
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spelling doaj.art-a76e1b2d17a74e99a4c3a67a11af9d4d2024-03-22T08:29:19ZengUniversity of BrawijayaJITeCS (Journal of Information Technology and Computer Science)2540-94332540-98242020-07-015210.25126/jitecs.202052163Applying Linear Regression to Estimate Weight of Non Axi-Symmetric fruitHurriyatul Fitriyah0Eko Setiawan1Muhammad Rifqi Radifan MasruriUniversity of BrawijayaUniversitas Brawijaya Weight is an important parameter in fruits’ quality identification. Measuring fruits’ weight using scale is tedious since fruits must be taken from tree and placed on contact to scale. Many researches have proposed non-contact estimation methods of fruits’ weight using 2D images. The studies were commonly applied in axi-symmetric fruits, such oranges. In this paper, an algorithm to estimate weight of non axi-symmetric fruit is developed. It used a Linear Regression rather than geometric-based methods as proposed by other researches. The non axi-symmetric fruits chosen was star fruits. It is a challenging fruits since its basic shape is not round but irregular star shape. The estimation used pixel count from one-view image of the fruits’ projection as feature. The proposed method has RMSE of 16.322 Gram and MAPE of 7.089% compare to the expected weights. It also has high Coefficient of Determination, R^2, 0.8829 compare to the weight scale measurement. https://jitecs.ub.ac.id/index.php/jitecs/article/view/163
spellingShingle Hurriyatul Fitriyah
Eko Setiawan
Muhammad Rifqi Radifan Masruri
Applying Linear Regression to Estimate Weight of Non Axi-Symmetric fruit
JITeCS (Journal of Information Technology and Computer Science)
title Applying Linear Regression to Estimate Weight of Non Axi-Symmetric fruit
title_full Applying Linear Regression to Estimate Weight of Non Axi-Symmetric fruit
title_fullStr Applying Linear Regression to Estimate Weight of Non Axi-Symmetric fruit
title_full_unstemmed Applying Linear Regression to Estimate Weight of Non Axi-Symmetric fruit
title_short Applying Linear Regression to Estimate Weight of Non Axi-Symmetric fruit
title_sort applying linear regression to estimate weight of non axi symmetric fruit
url https://jitecs.ub.ac.id/index.php/jitecs/article/view/163
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