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 … Funded by Grains Research and Development Corporation (GRDC) Project date 24 Feb 2020 - 23 Feb 2022 Research organisation The University of Adelaide (UA)
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 … Funded by Grains Research and Development Corporation (GRDC) Project date 17 Feb 2020 - 16 Feb 2021 Research organisation The University of Sydney (USYD)
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 … Funded by Grains Research and Development Corporation (GRDC) Project date 17 Feb 2020 - 16 Feb 2022
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, … Funded by Grains Research and Development Corporation (GRDC) Project date 17 Feb 2020 - 16 Feb 2022 Research organisation The University of Queensland (UQ)
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 … Funded by Grains Research and Development Corporation (GRDC) Project date 17 Feb 2020 - 31 Oct 2021 Research organisation The University of Sydney (USYD)
Multiple industries Cereal grains Oilseeds Pulse grains Data and AI Research project Deep Learning for early detection and classification of crop disease and stress This project will utilise deep learning for the detection, identification, and evaluation of crop stress factors using a variety of … Funded by Grains Research and Development Corporation (GRDC) Project date 17 Feb 2020 - 16 Feb 2022 Research organisation The University of Western Australia (UWA)
Oilseeds Data and AI Research project Post-Doctoral Fellowship: High-throughput quantitative analysis of flowering dynamics and canopy structure in Canola germplasm using image analysis and deep learning methods Crop improvement is dependent on accurate measurements of plant traits such as flowering time, leaf and seed number. For canola, … Funded by Grains Research and Development Corporation (GRDC) Project date 1 Jul 2019 - 30 Jun 2023 Research organisation Commonwealth Scientific and Industrial Research Organisation (CSIRO)
Pulse grains Plant science Research project PulseBio Project 3: Stable grain yield in pulses through improved stress tolerance (P3) Stress tolerance and disease resistance traits are routinely measured by pulse breeding programs, but data collection is limited by time … Funded by Grains Research and Development Corporation (GRDC) Project date 1 Jul 2016 - 30 Jun 2021 Research organisation Department of Jobs Precincts and Regions (DJPR) [Vic]