Machine learning to map soil constraint variability and predict crop yield

This project will use a variety of Machine Learning techniques to bring together previously underutilised on-farm, satellite, and weather data …

Ginger Ninja: Automating disease detection in seed ginger stock

Pests and diseases pose a significant production concern to most ginger growers and are a constant threat to yields. Fusarium, …

Identifying a machine learning approach to weed recognition in Australian grain production systems

The project will create an open source weed image library to make weed recognition data freely available to the weed …

Using machine learning to increase genetic gain in canola blackleg resistance breeding

This project will extend current research into deep learning and the genomics of disease resistance and apply findings to improve …

Machine learning applied to high-throughput feature extraction from imagery to map spatial variability

This project will advance upon existing techniques for image analytics by setting up datasets from a greater range of situations, …

Hort Innovation: Mango auto harvester

Opportunity for

• Machinery manufacturing and distribution companies interested in new products and services
• Agronomy service companies interested in new products and services

Applying machine learning to improve genetic gain delivered from genomic selection in plant breeding

Machine learning is the next-generation solution to identifying patterns in large datasets and involves using computer science and statistics to …

Workshop - Aquaculture opportunities in northern Australia: Solutions and Strategies

Northern Australia has multiple advantages for aquaculture industry development. Industry sentiment and estimates indicate a probable doubling of production by 2028 …

Prototype development of machine to remove fat from beef striploins leaving a uniform thickness behind - Stage 2

This project is a continuation of AMPC project 2016-1032 on evaluation of beef striploin fat trimming, leaving a uniform layer …

Digital Transformation Road Map for Meat Export Reforms

The project will develop a Digital Transformation Roadmap for the export meat sector to support its modernisation, underpinned by systems …

Using Machine Learning To Develop New Methods For Genetic Gain In Crops Challenged By Fungal Diseases

This project will apply a machine learning approach to genetic and high throughput phenotyping data to draw out genetic markers …

Smarter Irrigation 2: Precise real-time automated cotton & dairy irrigation for improved water productivity

This project is building on previous research to further develop fully autonomous broadacre irrigation systems for cotton (furrow and pivot) …

OzAg Data exchange

The Australian AgriFood Data Exchange has a vision to create an interconnected data highway for Australia’s AgriFood value chain.…

Development of best practice guidance for protective guarding of mobile plant used in Australian forests

This project intends to create and implement a Best Practice Guideline for guarding of machinery used in Australia's forest industry. …

Optimising performance. health, flock consistency and egg quality characteristics through management

The Sustainability Framework Report 2019 raised opportunities to optimise performance, health, flock consistency and egg quality. Hen-house egg production can differ …

Industry Development Grant_Alan Dorin

The funds will be used to support a current project by allowing us to extend an existing, working, single-unit honeybee …

Use of a purge sensor to improve performance and reduce the need for supervision of batch centrifugals

Batch centrifugals that operate like a spinning washing machine are used widely to separate raw sugar crystals from the mother molasses. This project will trial a Danish-made sensor to show when and how long to add wash water to the batch centrifugal, to purify the raw sugar crystals - a job that is usually done by a worker at the sugar mill.

Australian Industrial Hemp (Cannabis sativa) agronomic scoping studies

The Australian industrial hemp industry, which currently is focused predominantly on the use of fibre and seed, is …

Investigating aetiology and risk factors of ocular lesions and associated mortality in ranched Southern Bluefin Tuna

Southern Bluefin Tune (SBT) ranching operations have evolved rapidly and industry has experienced relatively few serious issues through its short …

Reduce Sugar Cane Harvest losses byinstallingLossMonitorsin Cane harvesters

The aim of the project is to generate better uptake of harvest loss monitors. Our approach is to demonstrate the …