PDF(Pubmed)
Abstract：
Honeybees (Apis mellifera L.) are important for agriculture and ecosystems; however, they are threatened by the changing climate. In order to adapt and respond to emerging difficulties, beekeepers require the ability to continuously monitor their beehives. To carry out this, the utilization of advanced machine learning techniques proves to be an exceptional tool. This review provides a comprehensive analysis of the available research on the different applications of artificial intelligence (AI) in beekeeping that are relevant to climate change. Presented studies have shown that AI can be used in various scientific aspects of beekeeping and can work with several data types (e.g., sound, sensor readings, images) to investigate, model, predict, and help make decisions in apiaries. Research articles related to various aspects of apiculture, e.g., managing hives, maintaining their health, detecting pests and diseases, and climate and habitat management, were analyzed. It was found that several environmental, behavioral, and physical attributes needed to be monitored in real-time to be able to understand and fully predict the state of the hives. Finally, it could be concluded that even if there is not yet a full-scale monitoring method for apiculture, the already available approaches (even with their identified shortcomings) can help maintain sustainability in the changing apiculture.
摘要：
蜜蜂（ApismelliferaL.）对农业和生态系统很重要；但是，他们受到气候变化的威胁。为了适应和应对新出现的困难，养蜂人需要能够持续监控他们的蜂箱。为了实现这一点，利用先进的机器学习技术被证明是一种特殊的工具。这篇综述全面分析了与气候变化相关的人工智能（AI）在养蜂中的不同应用的现有研究。提出的研究表明，人工智能可以用于养蜂的各种科学方面，并且可以处理几种数据类型(例如，声音,传感器读数,图像)进行调查，模型，预测，并帮助做出决定。与养蜂业各个方面有关的研究文章，例如，管理蜂箱，保持健康,检测病虫害，气候和栖息地管理，进行了分析。人们发现，几个环境，行为，和物理属性需要实时监控，以便能够理解和完全预测蜂箱的状态。最后,可以得出结论，即使还没有一种全面的养蜂业监测方法，已经可用的方法（即使存在已确定的缺点）可以帮助在不断变化的养蜂业中保持可持续性。
