Most of the world’s food crops rely on insect pollination (mainly bees); the pollination services they provide are a vital input for world food production and nutritional security. Yet, whilst other inputs such as irrigation, pest/weed control and soil nutrition are highly regulated practices, crop pollination is subject to little or no direct management and is provided almost entirely as an ecosystem service, which reduces the stability of productivity and capacity for production improvement.
This project will demonstrate a unique IoT sensor application that will provide real time monitoring of the foraging rate of honeybee colonies used for pollination services. This information will be correlated with hive strength and health data using sophisticated machine learning algorithms to provide a precision pollination service enabling farmers to optimise pollination efficiency and crop yields.
|Voucher||Demonstration - Large scale|
|Type of proposal||Collaborative|