Enhancing Rice Provenance and Quality Prediction
This project aims to reduce the amount of rice cracked during processing by delivering a digital ‘Product Quality and Prediction’ program in three stages so it can help growers choose rice varieties that are less prone to breakage.
Project date
26 Sep 2021-30 Nov 2022
Principal investigator
Rob Walsh
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
Related tags
Focus areas
Industries
Sustainabilities
Technology areas
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