7 citations · 12 across the 3 of their papers we have counts for
3 papers · 1 filter
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…