“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. It aims to be a high performance, central source of global bee health data which gives stakeholders, from policy makers and governments, to universities, smallholder farmers and beekeepers, the opportunity to find solutions to bee health declines.
The health of each hive reveals the health of its local ecosystem
Bees are natural biosensors and in order to pick up on the ‘intelligence’ they generate, we place sophisticated monitoring sensors in hives all over the world and connect them to the World Hive Network. The sensors capture a wide variety of data points including hive temperature, humidity, pollinator decline and deficits, and acoustic data (bee sounds) and integrate the data with freely available data such as weather, mapping, and other relevant local environmental data. This can help build an understanding and predictability about which hives will perform best and why, creating new guidelines for beekeepers and bee keeping farmers.
The value of this data for farmers and beekeepers lies in its capacity to predict bee behaviour and improve bee and hive health management, crop yields and honey production. The data is shared with participating farmers and beekeepers in an understandable and actionable way through user dashboards and real-time reporting tools so they can improve the everyday management of their colonies and improve productivity and honey yields while combatting the spread of disease, parasites, and pests.
Artificial Intelligence (AI) and Big Data Analytics to track the health of the global honeybee and wild bee populations
The World Hive Network fulfils its unique aim when it sends its bee and environmental data to the Oracle Autonomous Database and leverages the Oracle Analytics Cloud for machine learning modelling, and also for data visualisations. The World Hive Network also leverages Oracle Cloud Infrastructure for compute and data storage and processing.
The AI based process enables the World Hive Network to generate new insights across global regions. These fresh insights enable us to recognise the signatures of healthy and unhealthy hives, spot new patterns, new trends and shifts and enable better understanding of the varying relationships of bees to their ecosystems.
The World Hive Network data is valuable at multiple levels
The data can help researchers study how land use impacts bee health, and improve understanding about bee diseases and other threats. It can give stakeholders, from policy makers and governments, to banks, insurance companies, universities, smallholder farmers and beekeepers, the opportunity to predict bee behaviour and understand and remedy its impact on agricultural and honey yields. Across the world, it can help find local solutions to local challenges.
For Machine Learning to work we need large volumes of seasonal data over 2-3 year periods which is why we are focussed on expanding the World Hive Network. We will make a public announcement when we are ready to share the data.
We work with governments, universities, businesses, communities, and relevant stakeholders round the world and ensure that each of our projects is scientifically validated and beneficial to local communities.
“Until recently, with The World Bee Project’s work, there hasn’t been a global initiative to study bee populations or to research and attack the issue from a global perspective.”
Forbes Magazine, 2 April 2020