Trophic state assessment using hybrid classification tree-artificial neural network

• Main Authors: Concepcion, Ronnie Sabino, Loresco, Pocholo James M., Bedruz, Rhen Anjerome Rañola, Dadios, Elmer Jose P., Lauguico, Sandy C., Sybingco, Edwin
• Format: text
• Published: Animo Repository 2020
• Subjects: Aquaponics; Neural networks (Computer science); Manufacturing
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/1832; https://animorepository.dlsu.edu.ph/context/faculty_research/article/2831/type/native/viewcontent
• Institution: De La Salle University

The trophic state is one of the significant environmental impacts that must be monitored and controlled in any aquatic environment. This phenomenon due to nutrient imbalance in water strengthened with global warming, inhibits the natural system to progress. With eutrophication, the mass of algae in...