Department of Computer and Electronics Engineering, Cavite State University, Indang, Cavite, Philippines.
Review Article
World Journal of Advanced Research and Reviews, 2024, 21(01), 2686–2719
Article DOI: 10.30574/wjarr.2024.21.1.0367
Received on 19 December 2023; revised on 27 January 2024; accepted on 29 January 2024
This literature review aims to explore the many applications of stingless bee products and advancements in machine learning related to stingless bees. The review includes research conducted from 2019 to 2023, with a primary focus on two key topics: the application of bee products and machine learning advancements. The review examines the various applications of stingless bee products, such as honey and bee bread, highlighting their potential in areas like medicine and anti-cancer treatments. Additionally, it examines modern machine learning advancements, including IoT systems and neural networks. The review adopts a hybrid approach, utilizing a systematic method to gather research on both stingless bee products and machine learning advancements. A total of 65 studies contributed to this research, revealing that a majority were conducted in Asia, with the genus of stingless bee Meliponini serving as the primary subject. Findings from these studies offer valuable insights for researchers, policymakers, and stakeholders interested in the sustainable utilization of stingless bee products and the integration of machine learning technologies in this domain.
Stingless Bee; Machine Learning; Bee products; IoT; Review
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Joseph Louis Michael Calangian Ramos, Judy Lhyn Porlaje Sarmiento and Edwin Romeroso Arboleda. Innovative Hive Intelligence: Stingless Bee Products and Machine Learning Advancements in Agriculture and Medicine - A Review. World Journal of Advanced Research and Reviews, 2024, 21(1), 2686-2719. Article DOI: https://doi.org/10.30574/wjarr.2024.21.1.0367