DrPatrick Filippi

Senior Lecturer (Teaching and Research)

Faculty of Science

Research projects & supervision summary

2023-2025 – National Soil Carbon Innovation Challenge (NSCIC) ($1,780,000) - “Australia’s soil spectral library empowering low-cost SOC measurement”

2023-2027 – Grains Research and Development Corporation ($995,523) - “Earth observation analytics for site-specific disease management”

2023-2027 – Grains Research and Development Corporation ($2,995,295) - “Earth observation analytics for site-specific weed management”

2022-2025 – Grains Research and Development Corporation($1,147,857) - “Precision ag analytics for frost and heat management”

2022-2025 – Grains Research and Development Corporation($1,984,978) - “3D PAWC and constraint mapping”

2022-2024 – Grains Research and Development Corporation($243,448) – “Mapping yield gap and yield variability in commercial pulse crops”

RESEARCH PROJECTS & ACTIVITIES

  • PROJECT
    Go beyond leaf-scale experiments: Understanding water use efficiency in Australian agroecosystems using a satellite-driven knowledge-guided deep learning framework
    1 Mar 2026 - 30 Sep 2027
    Project leaders:
    Collaborators:
  • RESEARCH-BASED DEGREE SUPERVISION
    Approaches to on-farm mapping of soil properties key to crop production across Australia’s grain-growing regions
  • RESEARCH-BASED DEGREE SUPERVISION
    Assessing and developing spatial products for agricultural applications: from field to national extent
  • RESEARCH-BASED DEGREE SUPERVISION
    Assessing the suitability of lower Murrumbidgee valley soils for irrigated cotton production
  • RESEARCH-BASED DEGREE SUPERVISION
    Crop Monitoring with Advanced Deep Learning Methods
  • RESEARCH-BASED DEGREE SUPERVISION
    Crop Rotation as a Tool to Ameliorate Soil Compaction in Modern Cotton Farming Systems
  • RESEARCH-BASED DEGREE SUPERVISION
    Integrating Remote Sensing Technologies with Machin Learning Techniques for the Assessment and Monitoring of Soil Health Indicators
  • RESEARCH-BASED DEGREE SUPERVISION
    Optimising site-specific nitrogen management and sandy-soil amelioration in Australian grain production through spatial and spatio-temporal analysis of on-farm experiments
  • RESEARCH-BASED DEGREE SUPERVISION
    Precipitation Prediction with Multi-Modal Sequential Meteorological Signals
  • RESEARCH-BASED DEGREE SUPERVISION
    Remote monitoring technologies to understand risk factors for mortality in northern beef cattle
  • RESEARCH-BASED DEGREE SUPERVISION
    Rethinking Precision Agriculture: From Spatial Representation to Systems-Based Sustainability.
  • RESEARCH-BASED DEGREE SUPERVISION
    Scalable data-driven prediction of grain crop phenology and management dates across Australia
  • RESEARCH-BASED DEGREE SUPERVISION
    Scalable whole-profile soil organic carbon modelling for diverse Australian landscapes
  • RESEARCH-BASED DEGREE SUPERVISION
    Shifting focus from quantity to quality: Mapping understanding and managing within-field variability in crop quality in cotton and grain systems
  • RESEARCH-BASED DEGREE SUPERVISION
    Spatialisation of mechanistic crop simulators via machine learning emulation to support site-specific farm management