16 citations · 45 across the 8 of their papers we have counts for
5 papers · 1 filter
Banana Ripeness Level Classification using a Simple CNN Model Trained with Real and Synthetic Datasets
Luis Chuquimarca, Boris Vintimilla, Sergio Velastin
The level of ripeness is essential in determining the quality of bananas. To correctly estimate banana maturity, the metrics of international marketing standards need to be conside…
Fruit Deformity Classification through Single-Input and Multi-Input Architectures based on CNN Models using Real and Synthetic Images
Tommy D. Beltran, Raul J. Villao, Luis E. Chuquimarca +2
The present study focuses on detecting the degree of deformity in fruits such as apples, mangoes, and strawberries during the process of inspecting their external quality, employin…
Enhancing Apple's Defect Classification: Insights from Visible Spectrum and Narrow Spectral Band Imaging
Omar Coello, Moisés Coronel, Darío Carpio +2
This study addresses the classification of defects in apples as a crucial measure to mitigate economic losses and optimize the food supply chain. An innovative approach is employed…
Classifying Healthy and Defective Fruits with a Multi-Input Architecture and CNN Models
Luis Chuquimarca, Boris Vintimilla, Sergio Velastin
This study presents an investigation into the utilization of a Multi-Input architecture for the classification of fruits (apples and mangoes) into healthy and defective states, emp…
Automated Quality Control System for Canned Tuna Production using Artificial Vision
Sendey Vera, Luis Chuquimarca, Wilson Galdea +2
This scientific article presents the implementation of an automated control system for detecting and classifying faults in tuna metal cans using artificial vision. The system utili…