Weight and volume estimation of single and occluded tomatoes using machine vision

Weight and volume estimation of single and occluded tomatoes using machine vision

The fundamental characteristics of agricultural products are appearance, size, and weight, which affect their market value, consumer preference, and choice. Thus, food and agricultural industries seek rapid, simple, and nondestructive approaches to assess real-time measurements at the post-harvest s...

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Bibliographic Details
Main Authors: Innocent Nyalala, Cedric Okinda, Qi Chao, Peter Mecha, Tchalla Korohou, Zuo Yi, Samuel Nyalala, Zhang Jiayu, Liu Chao, Chen Kunjie
Format: Article
Language:English
Published: Taylor & Francis Group 2021-01-01
Series:International Journal of Food Properties
Subjects:
tomato
grading and sorting
machine learning
weight and volume
occlusion
polygon approximation
Online Access:http://dx.doi.org/10.1080/10942912.2021.1933024

Internet

http://dx.doi.org/10.1080/10942912.2021.1933024

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