Deep learning-driven predictive modelling for optimizing stingless beekeeping yields / Noor Hafizah Khairul Anuar ... [et al.]

• Main Authors: Khairul Anuar, Noor Hafizah, Md Yunus, Mohd Amri, Baharudin, Muhammad Ariff, Ibrahim, Sallehuddin, Sahlan, Shafishuhaza
• Format: Article
• Language: English
• Published: UiTM Cawangan Perlis 2024
• Subjects: Machine learning
• Online Access: https://ir.uitm.edu.my/id/eprint/103721/1/103721.pdf; https://ir.uitm.edu.my/id/eprint/103721/; https://jcrinn.com/index.php/jcrinn
• Institution: Universiti Teknologi Mara

Environmental factors like temperature, solar irradiance, and rain may influence the health and productivity of stingless bees. This paper aims to investigate the best approaches applied in meliponiculture to predict beehive health and products based on environmental variables and bee activity data....