Precision Pollination: Data-driven enhancements to boost crop yield

该项目旨在将工业作物授粉从一个直观的领域转变为一个基于可靠数据和最佳实践原则的决策领域。它建议通过开发新技术来实现全球授粉实践的现代化，以操作三阶段循环：蜜蜂授粉监测，基于模拟的预测和管理。这是为了确保蜜蜂提供基本生态系统服务的能力是通过可转移的，标准化的数据采集和管理技术，保持蜜蜂健康和最大限度地授粉。预期的结果是更高的水果产量和质量，以及行业生产力和盈利能力的有益变化。

The project aims to transform industrial crop pollination from an intuitive domain to one where decisions are based on sound data and best-practice principles. It proposes to achieve this modernisation of global pollination practice by developing novel technologies to operate a three-stage loop: honeybee pollination monitoring, simulation-based forecasting, and management. This is intended to ensure that the capability of honeybees to provide essential ecosystem services is informed by transferable, standardised data acquisition and management techniques that maintain bee health and maximise pollination. The anticipated outcomes are higher fruit yields and quality, and a beneficial step-change in industry productivity and profitability.