Innovative AI Technology to Enhance Blueberry Harvesting Efficiency
Fieldays 2026: AI harvester tech could cut waste and boost blueberry yields

Image: Nzherald
University of Waikato engineering students have developed a new AI-driven harvesting technology aimed at reducing waste and increasing blueberry yields. The innovation will be presented at Fieldays from June 10-13, addressing inefficiencies noted by student Thomas Hocking during his experience as a harvester driver.
- 01The new technology aims to optimize the shaking process of blueberry harvesters to reduce waste.
- 02Thomas Hocking, a third-year mechanical engineering student, identified inefficiencies in current harvesting methods.
- 03The automation system includes a better fruit-checking mechanism to enhance yield consistency.
- 04Hocking's design was inspired by his firsthand experience driving blueberry harvesters for 12-hour shifts.
- 05The technology will be showcased at Fieldays, a major agricultural event in New Zealand.
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A new AI-driven harvesting technology developed by engineering students at the University of Waikato seeks to enhance blueberry yields and minimize waste. This innovation, which will be showcased at Fieldays at Mystery Creek from June 10-13, addresses inefficiencies in current harvesting systems. Thomas Hocking, a third-year mechanical engineering student, noticed significant inconsistencies in fruit yield while operating blueberry harvesters. His solution includes an automation system designed to improve the shaking process, allowing for precise adjustments that can greatly impact profits. Hocking's design aims to streamline the harvesting process, reducing the manual effort required during long work hours.
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This technology could significantly improve the efficiency of blueberry harvesting, impacting local farmers' profits and sustainability.
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