Dr Patrick Filippi

Telephone (02) 8627 1061

Website ResearchGate

Biographical details

Patrick Filippi is a Postdoctoral Research Fellow in the School of Life and Environmental Sciences and Sydney Institute of Agriculture. His research interests are in precision agriculture, and helping growers to make more informed and precise management decisions. This is done through utilising an abundance of agricultural and environmental data sources, and combining this with advanced modelling techniques. Patrick completed a Bachelor of Science in Agriculture (Hons) at USyd in 2013, with a major in agronomy. He also completed his PhD in 2017 at USyd, which was focused on monitoring, modelling, and mapping spatio-temporal changes in soil properties in an irrigated cotton-growing region. This research had a particular emphasis on the role of agricultural practices and environmental shifts on soil condition.

Research interests

Much of Patrick’s current research is in the domain of precision agriculture, and consists of several disciplines, involving agronomy, soil science, GIS, modelling, and data science. He has a strong focus on the cotton industry, and his current position is funded by the Cotton Research Development Corporation (CRDC). In particular, he is concentrated on understanding yield variability in cotton systems, and the causes of this variability. This work also involves modelling and forecasting crop yield at the within-field scale. All of this work is centred on ‘Big Data’, and focuses on utilising the wealth of on-farm and public data that is available today. This data is processed using intelligent feature extraction, and then combined with advanced modelling techniques. Patrick is passionate about delivering the outcomes of his research in a simple and achievable format to growers.

Teaching and supervision

Patrick is currently associate supervisor for three Bachelor of Science in Agriculture Honours students. Their research topics are:

  • implementing precision/digital agriculture on a university farm to improve management
  • using multispectral imagery to determine the nitrogen status of cotton crops
  • improving soil moisture measurements to provide more precise irrigation scheduling in a cotton system

Awards and honours

  • Sibella MacArthur Onslow Memorial Prize (2013)
  • Deans’ List of Academic Excellence (2013)

In the media

Selected grants

2017

  • Minimising yield variability to maximise yield; Bishop T, Filippi P, Vervoort R, Whelan B, Evans B, Tan D, Cattle S, Roth G; Cotton Research and Development Corporation/Research and Development Projects.
  • Attend and Present at the International Tri- Conference for Precision Agriculture 2017; Bishop T, Filippi P; Cotton Research and Development Corporation/Travel, Conference & Scientific Exchange Participation.

2016

  • Travel to the World Cotton Research Conference 6 - Goi´┐Żnia Brazil 2016; Cattle S, Filippi P; Cotton Research and Development Corporation/Travel, Conference & Scientific Exchange Participation.

Selected publications

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Book Chapters

  • Filippi, P., Minasny, B., Cattle, S., Bishop, T. (2016). Monitoring and Modeling Soil Change: The Influence of Human Activity and Climatic Shifts on Aspects of Soil Spatiotemporally. In Donald L. Sparks (Eds.), Advances in Agronomy, Volume 139, (pp. 153-214). London: Academic Press. [More Information]

Journals

  • Filippi, P., Jones, E., Wimalathunge, N., Somarathna, P., Pozza, L., Ugbaje, S., Jephcott, T., Paterson, S., Whelan, B., Bishop, T. (2019). An approach to forecast grain crop yield using multi-layered, multi-farm data sets and machine learning. Precision Agriculture, In Press, 1-15. [More Information]
  • Filippi, P., Cattle, S., Bishop, T., Jones, E., Minasny, B. (2018). Combining ancillary soil data with VisNIR spectra to improve predictions of organic and inorganic carbon content of soils. MethodsX, 5, 551-560. [More Information]
  • Filippi, P., Cattle, S., Bishop, T., Odeh, I., Pringle, M. (2018). Digital soil monitoring of top- and sub-soil pH with bivariate linear mixed models. Geoderma, 322, 149-162. [More Information]
  • Ng, W., Minasny, B., Malone, B., Filippi, P. (2018). In search of an optimum sampling algorithm for prediction of soil properties from infrared spectra. PeerJ, 2018 (10), 1-27. [More Information]
  • Filippi, P., Cattle, S., Bishop, T., Pringle, M., Jones, E. (2018). Monitoring changes in soil salinity and sodicity to depth, at a decadal scale, in a semiarid irrigated region of Australia. Soil Research, 56(7), 696-711. [More Information]

2019

  • Filippi, P., Jones, E., Wimalathunge, N., Somarathna, P., Pozza, L., Ugbaje, S., Jephcott, T., Paterson, S., Whelan, B., Bishop, T. (2019). An approach to forecast grain crop yield using multi-layered, multi-farm data sets and machine learning. Precision Agriculture, In Press, 1-15. [More Information]

2018

  • Filippi, P., Cattle, S., Bishop, T., Jones, E., Minasny, B. (2018). Combining ancillary soil data with VisNIR spectra to improve predictions of organic and inorganic carbon content of soils. MethodsX, 5, 551-560. [More Information]
  • Filippi, P., Cattle, S., Bishop, T., Odeh, I., Pringle, M. (2018). Digital soil monitoring of top- and sub-soil pH with bivariate linear mixed models. Geoderma, 322, 149-162. [More Information]
  • Ng, W., Minasny, B., Malone, B., Filippi, P. (2018). In search of an optimum sampling algorithm for prediction of soil properties from infrared spectra. PeerJ, 2018 (10), 1-27. [More Information]
  • Filippi, P., Cattle, S., Bishop, T., Pringle, M., Jones, E. (2018). Monitoring changes in soil salinity and sodicity to depth, at a decadal scale, in a semiarid irrigated region of Australia. Soil Research, 56(7), 696-711. [More Information]

2016

  • Filippi, P., Minasny, B., Cattle, S., Bishop, T. (2016). Monitoring and Modeling Soil Change: The Influence of Human Activity and Climatic Shifts on Aspects of Soil Spatiotemporally. In Donald L. Sparks (Eds.), Advances in Agronomy, Volume 139, (pp. 153-214). London: Academic Press. [More Information]

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