Danieli Pier Paolo, Addeo Nicola Francesco, Lazzari Filippo, Manganello Federico, Bovera Fulvia
Department of Agriculture and Forest Sciences (DAFNE), University of Tuscia, Via S. C. de Lellis snc, 01100 Viterbo, Italy.
Department of Veterinary Medicine and Animal Production, University of Napoli Federico II, Via F. Delpino, 1, 80137 Napoli, Italy.
Animals (Basel). 2023 Dec 24;14(1):70. doi: 10.3390/ani14010070.
The present review aims to summarize the more recent scientific literature and updated state of the art on the research effort spent in adapting hardware-software tools to understand the true needs of honeybee colonies as a prerequisite for any sustainable management practice. A SWOT (Strengths, Weaknesses, Opportunities, and Threats) analysis was also performed with the aim of identifying the key factors that could support or impair the diffusion of precision beekeeping (PB) systems. Honeybee husbandry, or beekeeping, is starting to approach precision livestock farming (PLF), as has already happened in other animal husbandry sectors. A transition from the current paradigm of rational beekeeping to that of precision beekeeping (PB) is thus expected. However, due to the peculiarities of this species and the related farming practices, the PB technological systems (PB systems) are still undergoing a development process that, to some extent, limits their large-scale practical application. Several physical-chemical (weight, temperature, humidity, sound, gases) and behavioral traits (flight activity, swarming) of the hive are reviewed in light of the evolution of sensors, communication systems, and data management approaches. These advanced sensors are equipped with a microprocessor that records data and sends it to a remote server for processing. In this way, through a Wireless Sensor Network (WSN) system, the beekeeper, using specific applications on a personal computer, tablet, or smartphone, can have all the above-mentioned parameters under remote control. In general, weight, temperature, and humidity are the main hive traits monitored by commercial sensors. Surprisingly, flight activity sensors are rarely available as an option in modular PB systems marketed via the web. The SWOT analysis highlights that PB systems have promising strength points and represent great opportunities for the development of beekeeping; however, they have some weaknesses, represented especially by the high purchasing costs and the low preparedness of the addressed operators, and imply some possible threats for beekeeping in terms of unrealistic perception of the apiary status if they applied to some hives only and a possible adverse impact on the honeybees' colony itself. Even if more research is expected to take place in the next few years, indubitably, the success of commercial PB systems will be measured in terms of return on investment, conditioned especially by the benefits (higher yields, better colonies' health) that the beekeeper will appraise as a consequence of their use.
本综述旨在总结关于在适配硬件 - 软件工具以了解蜂群真实需求方面所做研究工作的最新科学文献和最新技术水平,这是任何可持续管理实践的先决条件。还进行了SWOT(优势、劣势、机会和威胁)分析,目的是确定可能支持或阻碍精准养蜂(PB)系统推广的关键因素。蜜蜂养殖,即养蜂业,正开始向精准畜牧养殖(PLF)靠拢,其他畜牧养殖部门已经出现这种情况。因此,预计将从当前的合理养蜂模式向精准养蜂(PB)模式转变。然而,由于该物种的特性以及相关养殖实践,PB技术系统(PB系统)仍在经历一个发展过程,这在一定程度上限制了它们的大规模实际应用。根据传感器、通信系统和数据管理方法的发展情况,对蜂巢的几个物理化学特性(重量、温度、湿度、声音、气体)和行为特征(飞行活动、分蜂)进行了综述。这些先进的传感器配备有微处理器,可记录数据并将其发送到远程服务器进行处理。通过这种方式,借助无线传感器网络(WSN)系统,养蜂人使用个人电脑、平板电脑或智能手机上的特定应用程序,就可以远程控制上述所有参数。一般来说,重量、温度和湿度是商业传感器监测的主要蜂巢特性。令人惊讶的是,在通过网络销售的模块化PB系统中,飞行活动传感器很少作为选项提供。SWOT分析强调,PB系统具有有前景的优势点,代表着养蜂业发展的巨大机遇;然而,它们也存在一些弱点,尤其表现为高购置成本和目标操作人员准备不足,并且如果仅应用于部分蜂箱,就养蜂而言,在对蜂场状况的不切实际认知方面意味着一些可能的威胁,以及对蜜蜂群体本身可能产生的不利影响。即使预计未来几年会有更多研究,但毫无疑问,商业PB系统的成功将以投资回报率来衡量,这尤其取决于养蜂人因使用这些系统而评估的收益(更高产量、更好的蜂群健康状况)。