E3S Web Conf.
Volume 187, 2020The 13th Thai Society of Agricultural Engineering International Conference (TSAE 2020)
|Number of page(s)||7|
|Section||Electronics and Information Technology|
|Published online||08 September 2020|
Volume estimation of cassava using consumer-grade RGB-D camera
1 Chulalongkorn University, Department of Mechanical Engineering, Faculty of Engineering, Bangkok, Thailand
2 Khon Kaen University, Curriculum of Agricultural Engineering, Faculty of Engineering, Khon Kaen, Thailand
* Corresponding author: firstname.lastname@example.org
Mismanagement during postharvest handling of cassava can degrade the quality of the product and depreciate its selling price considerably. This study proposed the feasibility of using RGB-depth camera to measure the quality of cassava roots in a non-destructive, fast and cost-effective manner. Methodology to estimate the volume of cassavas Kasetsart 50 variety was the focus of this study. Using RGB-D images collected from 60 cassava samples with each one being photographed from 6 different orientations. Image Processing model and Point Cloud image model were used to find the volume from depth images, and then disk method and box method were used to estimate the volume of cassava under ellipsoidal shape. Both estimation methods provided usable values for the volumes in the range of 100 - 500 ml with RMSE values of 5.91% and 4.02%, respectively. The estimated volume can be applied to find density to predict the rotten cassava for improving quality and efficiency of cassava industry.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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