Deep Learning-Driven Predictive Modelling for Optimizing Stingless Beekeeping Yields
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...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Perlis
2024-09-01
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| Series: | Journal of Computing Research and Innovation |
| Subjects: | |
| Online Access: | https://www.conferencehunter.com/index.php/jcrinn/article/view/451 |
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