Automated tobacco grading using image processing techniques and a convolutional neural network

• Main Authors: Marzan, Charlie S., Ruiz, Conrado R.
• Format: text
• Published: Animo Repository 2019
• Subjects: Tobacco—Grading; Image processing; Neural networks (Computer science); Computer Sciences
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/3016
• Institution: De La Salle University

Tobacco grading is very important for crop market price determination. It is beneficial for graders who need to manually classify tobacco leaves according to their grades. As such, a grading system using image processing techniques and a Convolutional Neural Network (CNN) is proposed in this study w...