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DTSTART;VALUE=DATE:20260622
DTEND;VALUE=DATE:20260627
DTSTAMP:20260429T234439
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LAST-MODIFIED:20251002T154654Z
UID:5406-1782086400-1782518399@www.plantsuccess.org
SUMMARY:Plant Success Research Retreat 2026
DESCRIPTION:The sixth annual Plant Success Research Retreat will occur in the week beginning 22 June 2026. The retreat is open to all Centre Members to attend in person and virtual attendance will also be available. \nMore details to come.
URL:https://www.plantsuccess.org/event/plant-success-research-retreat-2026/
ORGANIZER;CN="Plant Success":MAILTO:admin@plantsuccess.org
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DTSTART;TZID=Australia/Melbourne:20260713T080000
DTEND;TZID=Australia/Melbourne:20260715T170000
DTSTAMP:20260429T234439
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LAST-MODIFIED:20260427T010345Z
UID:5779-1783929600-1784134800@www.plantsuccess.org
SUMMARY:Winter School in AI and Predictive Agriculture
DESCRIPTION:The Winter School in AI and Predictive Agriculture is a free event to share the collective learnings of experts from The University of Queensland in the use of AI and predictive analytics in Agriculture and Sustainability. The event will be held on 13-15 July 2026 at The University of Queensland St Lucia Campus\, Brisbane and will feature seminars\, case studies and hands-on workshops. \nThe Winter School aims to: \n\nBuild capacity in applied AI for agriculture\, especially amongst PhD students\, EMCRs and industry participants;\nProvide participants with practical skills\, not just knowledge;\nDemonstrate AI as an enabler to make standard agricultural technologies more accessible.\n\nA high level agenda is below\, you can submit an expression of interest to attend one or more of the events: \n\nMonday 13 July: AI Toolkit and Foundations\nAll day: Lecture\, online or in person. Morning tea and lunch will be provided for in person attendees.\nAttendees will learn the foundations of AI in an accessible way to support the applied case studies and hands‑on workshops in the following days. Topics will include: \n\nIntro to Neural Networks\nAI Models and Embeddings\nTransformers and LLMs\nAgentic AI\nAI tools deployment\n\n\nTuesday 14 July: Phenotyping\nAM: Lecture\, online or in person. Morning tea will be provided for in person attendees.\nAttendees will explore how the AI Toolkit can be applied to advanced predictive phenotyping through expert seminars and real-world case studies. Topics will include: \n\nSensors and point clouds\nMachine learning for phenotyping\nFoundation models for crops\nHigh throughput platforms and 3D digital twins\nUAV image data processing\n\nPM: Hands-on workshop\, in person only (spaces limited). Lunch will be provided.\nParticipants will apply the methods introduced on real-world problems. \n\nWednesday 15 July: Genomic prediction\nAM: Lecture\, online or in person. Morning tea will be provided for in person attendees.\nAttendees will learn how AI methods can be leveraged for genomic prediction via expert seminars and applied case studies. Topics will include: \n\nFundamentals of Genotype-to-Phenotype models\nEnsemble models\nGraph Neural Networks applied to genomic prediction\nMarker selection using biological priors and networks\nAgentic coding to build a genomic prediction pipeline\n\nPM: Hands-on workshop\, in person only (spaces limited). Lunch will be provided.\nParticipants will apply the methods introduced on real-world problems. \nSpaces for hands-on workshops are strictly limited. \nWe are currently seeking expressions of interest for this event\, please complete the EOI form here if you would like to participate > \nScientific and Technical Committee\nDavid Kainer\nSenior Research Fellow\, The University of Queensland\, ARC Centre of Excellence for Plant Success \nGenomic prediction and graphs. \n  \nAlex Wu\nSenior Research Fellow\, Queensland Alliance for Agriculture and Food Innovation \nField-level design/prediction\, optimisation and machine learning with crop models to explore G×E×M interactions and design optimal crop ideotypes. \nLiqi Han\nResearch Fellow\, Queensland Alliance for Agriculture and Food Innovation \nCrop Digital Twins\, High Performance Computing\, Artificial Intelligence\, High Throughput Phenotyping. \n  \nBrodie Lawson\nPostdoctoral Researcher\, Queensland University of Technology\, ARC Centre of Excellence for Plant Success \nCrop growth modelling across scales\, including plant signalling\, cell-growth and physiology. Gaussian process regression as a surrogate to true modelling to create fast models for crop simulators. \n  \nChristos Mitsanis\nPhD Student\, The University of Queensland\, ARC Centre of Excellence for Plant Success \nAgentic AI\, mechanistic networks and CGMs. \n  \nSophie (Qiaomin) Chen\nResearch Fellow\, The University of Queensland \nMulti-scale precision agriculture. Integrates crop modelling with machine learning. modelling of crop traits using simulation-generated data sets. \n  \nSebastian Lopez-Marcano\nSenior Manager Analytics\, The University of Queensland \nData analytics\, workflows. \n  \nJavier Fernandez\nResearch Fellow\, The University of Queensland \nCrop and agronomic modelling. \n  \nEric Dinglasan\nSenior Research Fellow\, Queensland Alliance for Agriculture and Food Innovation \nOptimisation strategies for QTL stacking models. Adapts methods proven in animal breeding to crops. \n  \n 
URL:https://www.plantsuccess.org/event/winter-school-in-ai-and-predictive-agriculture/
ORGANIZER;CN="Plant Success":MAILTO:admin@plantsuccess.org
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20261105
DTEND;VALUE=DATE:20261107
DTSTAMP:20260429T234439
CREATED:20251106T231906Z
LAST-MODIFIED:20260224T050231Z
UID:5496-1793836800-1794009599@www.plantsuccess.org
SUMMARY:Genotype by Environment by Management (GxExM) Symposium IV
DESCRIPTION:Event information\nThe ARC Centre of Excellence for Plant Success is coordinating the next Genotype by Environment by Management (GxExM) symposium in November 2026 in Brisbane\, Queensland. The symposium will focus on a range of topics related to the study of GxExM interactions and their importance for crop improvement. \nThe symposium will be conducted to stimulate new approaches\, building on a foundation of sharing understanding and insights from case studies\, leading to discussion of ideas that will advance experimental\, modelling and prediction methods to enhance crop improvement strategies. \nThe presentations and discussions during the symposium will be recorded (whenever permission is granted) and made available online\, to improve accessibility for all participants. If you have any questions about the format of the meeting or your potential for involvement\, please contact plantsuccess@uq.edu.au. \nExpressions of interest have closed. The event will be held on Thursday 5 and Friday 6 November 2026 in Australia\, more information and registration instructions will be circulated soon. \nGxExM Background\nThe potential importance of GxExM interactions has been considered for many performance properties of agricultural systems. There are complex and growing pressures acting upon the global crop systems on which we depend for our livelihoods. \nUniversally\, significant yield gaps have been identified between potential and realised on-farm crop productivity for most crop systems. Further\, the sustainability of the current and required levels of crop productivity to meet the expectations of future needs are continually questioned. \nThe challenges are diverse\, complex and multi-faceted. Crop breeders seek to utilise available genetic resources to develop improved cultivars. \nCrop agronomists seek to define agronomic management practices that will work for the improved cultivars. \nFarmers seek to combine the improved cultivars with appropriate agronomic practices to achieve a target on-farm productivity while balancing short and long-term risks and rewards. \nThere have been and continue to be many calls for integrated efforts. \nThere are successful examples of integrated efforts between breeders\, agronomists in partnership with farmers. A number of such efforts have emphasised the importance of considering the potential influences of GxExM interactions at multiple levels within the crop systems.
URL:https://www.plantsuccess.org/event/genotype-by-environment-by-management-gxexm-symposium-iv/
ORGANIZER;CN="Plant Success":MAILTO:admin@plantsuccess.org
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