Size classification of tomato fruit using thresholding, machine learning and deep learning techniques

• Main Authors: de Luna, Robert G., Dadios, Elmer P., Bandala, Argel A., Vicerra, Ryan Rhay P.
• Format: text
• Published: Animo Repository 2019
• Subjects: Image processing; Size perception; Computer vision; Tomatoes—Size; Manufacturing
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/3490; https://animorepository.dlsu.edu.ph/context/faculty_research/article/4492/type/native/viewcontent/agrivita.v41i3.2435
• Institution: De La Salle University

The size of tomato fruits is closely related to the market segment and price. Manual sorting in tomato is very dependent on human interpretation and thus, very prone to error. The study presents thresholding, machine learning and deep learning techniques in classifying the tomato as small, medium an...