Predicting harvest timing & yield in intensive cropping

This project is using AI, historical and current season grower data, combined with real-time micro-climate data to create models that predict yield and harvest dates for Treasury Wine Estate winegrapes and Costa group Group berries.

Project date

18 Feb 2019-26 Feb 2021

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Principal investigator

Dan Ramp

Research organisations

University of Technology Sydney (UTS)

Project funded by

Multiple industries

Food Agility Cooperative Research Centre (Food Agility CRC)

Food Agility brokers, designs and delivers innovation programs for the Australian agrifood industry, ensuring maximum impact for investment. We specialise …

Multiple industries

Location
Australia
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Fruits
Wine

Sustainabilities

Climate change

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