“Long-term international or national monitoring of both pollinators and pollination is urgently required to provide information on status and trends for most species and most parts of the world.”
The 2016 assessment report on Pollinators, Pollination, and Food Production, Intergovernmental
Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES) at the United Nations.
The World Hive Network© is the most ambitious effort ever undertaken to track the health of the global honeybee and wild bee populations. Until now, there hasn’t been an initiative to remotely monitor bees in different regions of the world to research the pollinator and pollination crisis from a global perspective.
The only way to get a better understanding of the health of the world’s bee population is through data, but until recently the little data there is relating to bee health is captured and held locally by individual universities and organisations, making it difficult and expensive to share at a global level.
The World Hive Network© addresses this problem by providing the world’s first global bee health data platform, which not only provides a much broader view of global bee data from individual beekeepers though to commercial farms, but is also accessible by a much wider community, including students, the research and scientific community, governments, commercial farms, as well as individual beekeepers and small-holder farmers.
The data is collected by beehive sensors, which capture temperature, humidity, forage performance, and pollination data, and this provides both real-time monitoring of current bee health as well as a platform to monitor the ongoing impact of environmental changes like changing weather patterns, biodiversity declines, pesticide use, urban development, traffic pollution etc.
The World Hive Network© is powered by Oracle Cloud Technology, which allows the brightest minds in beekeeping and natural science to leverage the latest advances in high performance computing, machine learning and Artificial Intelligence, and enables solutions and intelligence to be delivered directly into the hands of beekeepers and farmers though mobile and voice technology, as well as through the hive-sensors themselves.
“With AI and machine learning we can start to put together the signature of healthy and unhealthy hives.”
Professor Simon G. Potts
The data network enables a better understanding of bee health at the global level, but also provides a very detailed understanding of what is happening at the local level, so that local beekeepers and farmers can improve the health of their bees, the honey quality and enhance their crop yields, regardless of their size or location.
“We generate masses of important data, using analytics and AI to spot patterns, trends and correlations and share insights and collaborations with scientists, governments, NGOs and farmers, from Kent, to Canberra, to Kyoto.”