Lettuce life stage classification from texture attributes using machine learning estimators and feature selection processes

• Main Authors: Lauguico, Sandy C., Concepcion, Ronnie Sabino, II, Alejandrino, Jonnel D., Tobias, Rogelio Ruzcko, Dadios, Elmer Jose P.
• Format: text
• Published: Animo Repository 2020
• Subjects: Aquaponics; Lettuce—Growth; Computer vision; Machine learning; Electrical and Electronics; Systems and Communications
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/3944
• Institution: De La Salle University

Classification of lettuce life or growth stages is an effective tool for measuring the performance of an aquaponics system. It determines the balance in water nutrients, adequate temperature and lighting, other environmental factors, and the system’s productivity to sustain cultivars. This paper pro...