Skip to Content Skip to Navigation

250 results for machine learning

Cereal grains
Multiple technology areas
Data and AI Imagery Input management
Research project

Real-time remote-sensing based monitoring for the rice industry

Rice growing operations rely on good information to make the best use of the available water to produce high quantity …
  • Funded by

    AgriFutures Australia

  • Project date

    30 Nov 2021 -
    31 Aug 2025

  • Research organisation

    University of New England (UNE)

Multiple industries
Beverage Cereal grains Fruits Oilseeds
Organisation

Indyn Pty Ltd

The founders of Indyn have more than 20 years experience in machine vision as it applies to industrial processes. Indyn has been formed to leverage that experience in the agribiz sector.
  • Location

    New South Wales

  • Organisation type

    Corporate

Cross industry
Organisation

Jane's Weather

Every day, weather forecasts are calculated by several global weather models. Traditional weather forecasts and apps show the solution from only one of these, so you either rely on that and hope for the best, or consult numerous sources to see the full picture. The second option involves spending time and effort comparing the different advice in your head.
  • Location

    Australia wide

  • Organisation type

    Startup or Scaleup or SME

Multiple industries
Cereal grains Fruits Oilseeds Vegetables Wine
Organisation

BioScout

BioScout is an Ag-Tech startup providing near real-time disease surveillance for agriculture. It all started when our CEO, Lewis Collins, was tasked with running a traditional spore trap to detect cereal rust spores. He quickly realised that the data coming in from these traps was too slow to be of practical useful to everyday growers. He set out to automate the process, and BioScout was born.
  • Location

    New South Wales, Australia

  • Organisation type

    Startup or Scaleup or SME

Multiple industries
Cross industry Wine
Organisation

Deep Planet

Deep Planet has developed scalable and cost-effective precision agriculture tools for vineyards and farms. Our tools leverage satellite imagery and …
  • Location

    Australia, USA, South America, Europe

  • Organisation type

    Startup or Scaleup or SME

Multiple industries
Beef cattle Cereal grains Nuts Pasture, fodder & feed Pulse grains Vegetables
Organisation

Waite Research Institute (WRI) at The University of Adelaide (UA)

The Waite Research Institute (WRI) was established in 2009 to facilitate further development of the world-class capability and technologies at the …
  • Location

    South Australia

  • Organisation type

    Public research organisation

Sugar
Harvest technology
Research project

Harvester losses assessment by real-time Machine Vision Systems

This project seeks to develop a novel proof-of-concept Machine Vision System for real-time estimation of cane losses during harvest, using imaging to detect billet particles and juice that falls onto trash blanket.
  • Funded by

    Sugar Research Australia (SRA)

  • Project date

    1 Jul 2019 -
    31 Jul 2021

  • Research organisation

    University of Southern Queensland

Poultry
Imagery
Research project

Novel detection of chicken welfare using machine vision

The Australian chicken meat industry predominantly uses sheds to house chickens. Sheds are typically inspected 3 times per day, however continual …
  • Funded by

    AgriFutures Australia

  • Project date

    2 Jul 2017 -
    7 Oct 2021

  • Research organisation

    University of Southern Queensland (USQ)

Multiple industries
Cotton Sugar
Imagery
Research project

Commercial development and evaluation of a machine vision-based weed spot sprayer

This project aimed to integrate machine vision-based weed discrimination algorithms with commercial spray control systems from a spray equipment manufacturer, …
  • Funded by

    Cotton Research and Development Corporation (CRDC)

  • Project date

    1 Jul 2013 -
    30 Apr 2019

  • Research organisation

    University of Southern Queensland (USQ)

Wine
Multiple technology areas
Data and AI Imagery
Opportunity

Wine Australia – wine grape yield prediction and estimation commercialisation opportunity

Opportunity for

  • Agritech software or hardware providers, innovators and commercial partners interested in access to wine grape yield predictions to integrate into existing or new platforms
  • Led by

    Wine Australia

  • Opportunity type

    Licensing, Seeking partners

  • Readiness
    Early (TRL 1-4)
    Describes the challenge or opportunity being pursued and undertakes preliminary R&D to determine if the concept is feasible.
Image for Wine Australia – wine grape yield prediction and estimation commercialisation opportunity
Multiple industries
Beef cattle Cereal grains Cross industry Forestry Natural capital assets Pork Poultry Sheep & lamb Wild catch fisheries Wine
Organisation

Geospatial Intelligence Pty Ltd

Founded in 2002, and 100% Australian owned and staffed, Geospatial Intelligence Pty Ltd is a specialist provider of geospatial data, analysis and analytics. We help to turn geospatial data into valuable information.
  • Location

    Canberra, Australia and The United Kingdom

  • Organisation type

    Startup or Scaleup or SME

Multiple industries
Aquaculture Beef cattle Beverage Cereal grains Cotton Essential oils Forestry Fruits Honey bees Nuts Oilseeds Packaged food Pasture, fodder & feed Pork Poultry Pulse grains Vegetables Wine Wool
Organisation

Charles Sturt University (CSU)

Charles Sturt University has an expansive footprint across south-eastern Australia servicing major agricultural zones in south/central New South Wales and Northern Victoria. The University has national and global reach through research and education partnerships with numerous community, industry, government and research/education organisations.
  • Location

    Australia

  • Organisation type

    Accelerator or Incubator, Public research organisation, Research service providers

Multiple industries
Beef cattle Other rural industries Sheep & lamb
Research project

ACE Benchmarking Supported Learning Project

Profitable Grazing Systems (PGS) is one of Meat and Livestock Australia (MLA)’s adoption programs, which will drive measurable, improved …
  • Funded by

    Meat and Livestock Australia (MLA)

  • Project date

    30 Sep 2019 -
    28 Aug 2020

Sheep & lamb
Research project

Profitable Grazing Systems Supported Learning

Profitable Grazing Systems (PGS) is one of Meat and Livestock Australia (MLA)’s adoption programs, which will drive measurable, improved …
  • Funded by

    Meat and Livestock Australia (MLA)

  • Project date

    15 Apr 2019 -
    1 May 2020

Multiple industries
Beef cattle Other rural industries Pasture, fodder & feed Sheep & lamb
Research project

Delivery of PGS Supported Learning Project

Profitable Grazing Systems (PGS) is an Meat and Livestock Australia (MLA) adoption program, which will drive measurable, improved business performance …
  • Funded by

    Meat and Livestock Australia (MLA)

  • Project date

    30 Sep 2019 -
    15 Nov 2022

Back to top

Readiness

Clear