
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
Principal investigator
Dan Ramp
Project funded by
Multiple industries
Alternative protein
Aquaculture
Beef cattle
Cereal grains
Cotton
Cross industry
Dairy
Eggs
Fruits
Other rural industries
Pasture, fodder & feed
Pork
Poultry
Pulse grains
Sugar
Vegetables
Wild catch fisheries

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