Honey bees are the world’s most important single species of pollinator in agricultural ecosystems. The World Bee Project is developing a world-first approach to understand the declines of honey bee populations and how we can help protect them.
The World Bee Project Hive Network system has the capacity to obtain huge amounts of data from its remotely monitored hive network by deploying commercially available hive monitoring sensors that have the capability of collecting among other inputs, audio, video, temperature, humidity and surrounding weather.
The World Bee Project makes sure that proper and precise assessments of conditions inside colonies are available and benchmarked against expert beekeeper knowledge through the direct assessment of various health parameters of sentinel hives. This is a task that is delegated in every region to highly trained and experienced individuals working with experts from local universities. It is only after the validation task is complete that the data from the Hive Network is fed into Oracle Cloud, and Oracle technology - AI and machine learning - can analyse and elucidate relationships between sensor data and bee health states, and efficiently and reliably generate new insights into honey bee health and its relationship with hive conditions, varying regional environments, and the pollination services bees provide to agriculture.
We aim to deliver the new data and insights directly to the hundreds of millions of family farmers and beekeepers around the world to enhance the contribution of pollinators to food security, livelihoods and national economies.
Protecting the invaluable contributions of nature to people will be the defining challenge for decades to come. Policies, efforts, and actions at every level will only succeed when based on the best knowledge and evidence. This best knowledge and evidence are what The World Bee Project strives to contribute to.
We have created a unique opportunity that paves the way for innovations that can change how the world grows food and manages land.