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70 results for Machine vision

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Wine
Imagery
Research project

Automated visual yield estimation in table grape vineyards

This project will allow producers to build their own business plan to adopt technology. With the help of Australian Table …

Wine
Imagery
  • Funded by

    AgriFutures Australia

  • Project date

    10 Jan 2022 -
    19 May 2023

  • Research organisation

    Australian Table Grape Association

Logo for Automated visual yield estimation in table grape vineyards
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, …

Multiple industries
Cotton Sugar
Imagery
  • Funded by

    Cotton Research and Development Corporation (CRDC)

  • Project date

    1 Jul 2013 -
    30 Apr 2019

  • Research organisation

    University of Southern Queensland (USQ)

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

Sugar
Harvest technology
  • Funded by

    Sugar Research Australia (SRA)

  • Project date

    1 Jul 2019 -
    31 Jul 2021

Logo for Harvester losses assessment by real-time Machine Vision Systems
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 …

Poultry
Imagery
  • Funded by

    AgriFutures Australia

  • Project date

    1 Jul 2017 -
    6 Oct 2021

  • Research organisation

    University of Southern Queensland (USQ)

Logo for Novel detection of chicken welfare using machine vision
Sugar
Automation
Research project

On-line measurement of the physical properties of each cane consignment at the factory

Harvested cane supplied to sugar mills in Australia comprises billets of the cane stalk, leaves, tops and roots, with everything else classified as extraneous matter (EM) that doesn't contribute to the quantity of sugar produced. This project is investigating the use of computer vision and machine learning to measure various parameters in the cane brought to the mill, to improve supply and processing.

Sugar
Automation
  • Funded by

    Sugar Research Australia (SRA)

  • Project date

    9 Jun 2021 -
    30 Jun 2022

  • Research organisation

    Queensland University of Technology (QUT)

Logo for On-line measurement of the physical properties of each cane consignment at the factory
Forestry
Harvest technology
Research project

Advanced real-time measurements at harvest to increase value recovery

Advanced technologies are revolutionising industries around the globe, and Australian forestry operators have begun pioneering the use of advanced technologies …

Forestry
Harvest technology
  • Funded by

    Forest and Wood Products Australia (FWPA)

  • Project date

    15 Jun 2018 -
    30 Mar 2021

  • Research organisation

    University of the Sunshine Coast (USC)

Logo for Advanced real-time measurements at harvest to increase value recovery
Multiple industries
Beef cattle Sheep & lamb
Multiple technology areas
Automation Data and AI Food processing technology Machinery & hardware
Research project

Naked Primal Cut Recognition Vision System Trial in Plant

The intent of this project is to take the technology developed during current AMPC Project no: 2017-1064 “Development of Naked …

Multiple industries
Beef cattle Sheep & lamb
Multiple technology areas
Automation Data and AI Food processing technology Machinery & hardware
  • Funded by

    Australian Meat Processor Corporation (AMPC)

  • Project date

    1 May 2018 -
    10 Aug 2020

Logo for Naked Primal Cut Recognition Vision System Trial in Plant
Wild catch fisheries
Research project

National Recreational Fishing Conference bursary 2019

This investment supports young leaders from the recreational fishing sector to attend the National Recreational Fishing Conference. The bursary provides …

Wild catch fisheries
  • Funded by

    Fisheries Research and Development Corporation (FRDC)

  • Project date

    20 Oct 2019 -
    19 Dec 2019

  • Research organisation

    Fisheries Research and Development Corporation (FRDC)

Logo for National Recreational Fishing Conference bursary 2019
Multiple industries
Cereal grains Oilseeds Pasture, fodder & feed Pulse grains
Data and AI
Research project

AgAsk: A Machine Learning Generated Question-Answering Conversational Agent for Data-driven Growing Decisions

AgAsk, a machine learning question-answering system, will interpret natural language questions and provide contextualised access to insights into agricultural research. …

Multiple industries
Cereal grains Oilseeds Pasture, fodder & feed Pulse grains
Data and AI
  • Funded by

    Grains Research and Development Corporation (GRDC)

  • Project date

    23 Mar 2020 -
    22 Mar 2022

  • Research organisation

    The University of Queensland (UQ)

Logo for AgAsk: A Machine Learning Generated Question-Answering Conversational Agent for Data-driven Growing Decisions
Multiple industries
Cereal grains Oilseeds Pasture, fodder & feed Pulse grains
Data and AI
Research project

Machine learning to extract maximum value from soil and crop variability

The yields of major crops in Australia are often below their water-limited potential. A reason for this is the complexity …

Multiple industries
Cereal grains Oilseeds Pasture, fodder & feed Pulse grains
Data and AI
  • Funded by

    Grains Research and Development Corporation (GRDC)

  • Project date

    24 Feb 2020 -
    23 Feb 2022

  • Research organisation

    The University of Adelaide (UA)

Logo for Machine learning to extract maximum value from soil and crop variability
Multiple industries
Cereal grains Oilseeds Pulse grains
Data and AI
Research project

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 …

Multiple industries
Cereal grains Oilseeds Pulse grains
Data and AI
  • Funded by

    Grains Research and Development Corporation (GRDC)

  • Project date

    17 Feb 2020 -
    31 Oct 2021

  • Research organisation

    The University of Sydney (USYD)

Logo for Machine learning to map soil constraint variability and predict crop yield
Other rural industries
Automation
Research project

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, …

Other rural industries
Automation
  • Funded by

    AgriFutures Australia

  • Project date

    1 Jul 2019 -
    16 Apr 2021

  • Research organisation

    Queensland University of Technology (QUT)

Logo for Ginger Ninja: Automating disease detection in seed ginger stock
Multiple industries
Cereal grains Oilseeds Pasture, fodder & feed Pulse grains
Data and AI
Research project

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 …

Multiple industries
Cereal grains Oilseeds Pasture, fodder & feed Pulse grains
Data and AI
  • Funded by

    Grains Research and Development Corporation (GRDC)

  • Project date

    17 Feb 2020 -
    16 Feb 2021

  • Research organisation

    The University of Sydney (USYD)

Logo for Identifying a machine learning approach to weed recognition in Australian grain production systems
Multiple industries
Cereal grains Oilseeds Pasture, fodder & feed Pulse grains
Data and AI
Research project

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 …

Multiple industries
Cereal grains Oilseeds Pasture, fodder & feed Pulse grains
Data and AI
  • Funded by

    Grains Research and Development Corporation (GRDC)

  • Project date

    17 Feb 2020 -
    16 Feb 2022

  • Research organisation

    The University of Western Australia (UWA)

Logo for Using machine learning to increase genetic gain in canola blackleg resistance breeding
Multiple industries
Cereal grains Oilseeds Pasture, fodder & feed Pulse grains
Data and AI
Research project

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, …

Multiple industries
Cereal grains Oilseeds Pasture, fodder & feed Pulse grains
Data and AI
  • Funded by

    Grains Research and Development Corporation (GRDC)

  • Project date

    17 Feb 2020 -
    16 Feb 2022

  • Research organisation

    The University of Queensland (UQ)

Logo for Machine learning applied to high-throughput feature extraction from imagery to map spatial variability
Multiple industries
Cereal grains Oilseeds Pasture, fodder & feed Pulse grains
Data and AI
Research project

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 …

Multiple industries
Cereal grains Oilseeds Pasture, fodder & feed Pulse grains
Data and AI
  • Funded by

    Grains Research and Development Corporation (GRDC)

  • Project date

    17 Feb 2020 -
    16 Feb 2022

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