An assessment of stingless beehive climate impact using multivariate recurrent neural networks. International Journal of Electrical and Computer Engineering (IJECE), 13 (2). pp. 2030-2039. ISSN 2088-8708 (2022)
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Abstract
A healthy bee colony depends on various elements, including a stable habitat, a sufficient source of food, and favorable weather. This paper aims to assess the stingless beehive climate data and examine the precise short-term forecast model for hive weight output. The dataset was extracted from a single hive, for approximately 36-hours, at every seven seconds time stamp.
| Item Type: | Article |
|---|---|
| Keywords: | Climatic impact, Stingless bee, Short-term forecast |
| Taxonomy: | By Niche > Kelulut (Stingless Bee) > Behavior By Niche > Kelulut (Stingless Bee) > Research |
| Local Content Hub: | Niche > Kelulut (Stingless Bee) |
| Depositing User: | Nurmaisari binti Che Anuar (Kuala Terengganu) |
| Date Deposited: | 04 Dec 2025 06:37 |
| Last Modified: | 04 Dec 2025 06:37 |
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