Tomato growth stage monitoring for smart farm using deep transfer learning with machine learning-based maturity grading

• Main Authors: de Luna, Robert G., Dadios, Elmer P., Bandala, Argel A., Vicerra, Ryan Rhay P.
• Format: text
• Published: Animo Repository 2020
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/808; https://animorepository.dlsu.edu.ph/context/faculty_research/article/1807/type/native/viewcontent
• Institution: De La Salle University

© 2020 Universitas Brawijaya. The tomato farming industry needs to adopt new ideas in applying the technology for its growth monitoring and main. Machine vision and image processing techniques have become useful in the increasing need for quality inspection of fruits, particularly, tomatoes. This pa...