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Enhancing precision Agriculture at MMSU i4.0: comparative analysis of machine learning based decision tree classifier and hybrid genetic algorithm with simulated annealing for crop yield prediction / Glenn Paul C. Agbayani, Christian Gherome Agustin, Mark Kenneth M. Bumanglag, Karl Haley C. Calastravo, Karl Germane Auxerre S. Dizon, Robert G. Glori, John Reiner A. Lopez, Mark Eugene Lorenzo, Julius Renanz U. Melendez, Darylle Joshua B. Udarbe

TextPublication details: City of Batac : MMSU, 2024Description: xxx, 155 leaves : 29 cm

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Holdings
Item type	Home library	Shelving location	Call number	Status	Notes	Date due	Barcode
Thesis/Dissertation	MMSU Main Library	Theses and Dissertation Section		Available	Room Use Only		UTHESIS-6930

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Previous	Implementation of convolutional neural network (CNN) Architecture in classifying tomato ripeness level /	Development of a gait assessment device using deep convolutional neural network and pressure distribution insole /	Streamlining of document management system for Mariano Marcos State University- College of Engineering /	Enhancing precision Agriculture at MMSU i4.0: comparative analysis of machine learning based decision tree classifier and hybrid genetic algorithm with simulated annealing for crop yield prediction /	Design and development of an energy efficient raspberry PI-based camera- assisted candling and maturity detection system for enhanced poultry egg incubation /	Development and implementation of IOT-based agri-smart fertigation system for siling labuyo (Capsicum frutescens L.) /	Development of IOT-based smart aquaculture through remote sensing and control for common carp in a small scale- fisheries /	Next

UTHESIS (Bachelor of Science in Computer Engineering)

Bibliography: leaves 133-144

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