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Precision Pollination: Data-driven enhancements to boost crop yield (via Monash)

  • Rader, Romina (UNE Lead Investigator)
  • Cook, James (Chief Investigator)
  • Dorin, Alan (Chief Investigator)
  • Parry, Hazel (Chief Investigator)
  • Toosi, Adel (Chief Investigator)
  • Monash University
  • Western Sydney University
  • Commonwealth Scientific and Industrial Research Organisation

Project Details

Description

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.

Funding

Funder: Australian Research Council
Award Value: $540,000
StatusFinished
Effective start/end date3/04/23 → 2/04/26

Collaborative partners

  • Monash University (lead)
  • Western Sydney University
  • Costa Group
  • Commonwealth Scientific and Industrial Research Organisation
  • Australian Blueberry Growers Association Inc

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