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  • Dr Leisa Armstrong

    Dr Leisa Armstrong

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Dr Leisa Armstrong

Senior Lecturer

Staff Member Details
Telephone: +61 8 6304 6506
Email: l.armstrong@ecu.edu.au
Campus: Joondalup  
Room: JO18.341  
ORCID iD: https://orcid.org/0000-0002-9634-016X

Leisa is a Senior Lecturer in Computer Science within the School of Science. Leisa is a Course coordinator for Course work Masters Computer Science degrees. She is also a University Contact Officer (UCO) in the Office of Pro-Vice Chancellor (Students, Equity, Indigenous).

Coordinator

  • I45 Master of Computer Science
  • I46 Master of Information Technology

Current Teaching

  • CSI6210 Current Topics in Computer Science
  • CSP3341 Programming Languages and Paradigms

Past Teaching

  • Scripting Languages
  • Project Management
  • Project Preparation
  • Masters Project units
  • Internet and Java Programming
  • Component Based Software Engineering
  • Software Development Frameworks
  • Computer Science Fundamentals

Background

Dr Armstrong has more than 35 years' experience in both computer and agricultural science-based disciplines and has worked in both the state and university sector. She currently heads the ECU Digital Agriculture Research Area and has associate research positions at WA State Government and international universities. Dr Armstrong’s leadership in research and industry impact has been recognised with recent Presidential awards from the International Commission of Agricultural and Biosystems Engineering (CIGR) for her contributions to Information Technology in Agriculture and having held positions of President of Asian Pacific Federation of Information Technologies in Agriculture. She has also been recognised for her expertise in Information technology application as the Australian Representative on IFIP TC5 committee. She is also an Associate Fellow of Australian Institute of Management., WA.   Dr Armstrong’s expertise has been recognized by invitations to be conference keynote speaker at number international conferences, serving on several high-level grant review committees internationally (e.g., US National Science Foundation) and reviewing several PhD theses. She has leadership and chairmanship experience in multiple committees and working groups including Australian Computer Society WA Branch and has contributed through involvement with several professional bodies in agriculture and technology sector.

Dr Armstrong currently has 1426 citations (Google Scholar) and an H index of 20 and 122 publications across several disciplines. She is also experienced research mentor having has supervised more than 15 PhD and research masters' students and mentored researchers in Australia, US, India and Thailand.  Dr Armstrong has a strong record in getting research funding for collaborative projects in multiple discipline areas. She leads several international research collaborations in Asia focusing on technology solutions for sustainable agricultural systems. She has been awarded considerable funding on research related to digital agriculture and climate change resilience by funding bodies including WA State and Federal government grants, GRDC. Australian India Strategic Research Fund, Australian Centre for International Agricultural Research, United Nations (Food and Agriculture Organisation).

  • 2002 - present Senior Lecturer in Computer Science, ECU
  • 2017 - present Research Associate. Department of Primary Industries and Regional Development WA.
  • 1994 - 2002 Agricultural Science Research, Department of Primary Industries and Regional Development WA.
  • 2002   Lecturer in Computer Science, Murdoch University
  • 1987- 1993 Teaching Fellow, University of Queensland, School of Zoology, Agriculture Science

Professional Memberships

  • 2023  - present International Federation for Information Processing Technical Committee V (Australian Representative)
  • 2022 – present Australian Society of Agronomy (Member, Conference committee)
  • 2021 – present CIGR Asia Pacific Representative on the Section VII Artificial Intelligence Workgroup. (Member)
  • 2021 – present Peter Cowan Writers Centre (Member)
  • 2020 – present Women in Technology WA (Member)
  • 2018 – present Australian Computer Society (BEC,  Honorary Treasurer)
  • 2017 – present Australian Institute of Management, Western Australia (Associate Fellow)
  • 2016 – present Australian Farm Institute (Member)
  • 2015 – present Society of Precision Agriculture Australia (Member)
  • 2014 – 2016 Asian Pacific Federation of ICT in Agriculture (APFITA) (President)
  • 2012 – -present President of Australian Society of ICT in Agriculture  (Member and President)
  • 2010 – present Institute of Electrical and Electronic Engineers, (IEEE) (Member)
  • 2010 – present American Computer Machinery (ACM) (Member)
  • 2010 – present Academic Staff Association of Edith Cowan University (member, Executive Committee)
  • 2010 – present National Tertiary Education Union - Edith Cowan University Branch (Member, Executive committee member)
  • 2008 – present Australia India Business Council (WA)  (Member)
  • 2004 – 2008 International Association for development of the Information Society (IADIS) (Member)
  • 2004 – 2008 International Federation for Information Technology in Tourism (IFITT). (Member)
  • 2002 – present Australian Computer Society - (Ordinary Member)

Awards and Recognition

National and International Awards

  • 2022  -  International Commission of Agricultural and Biosystems Engineering (CIGR) Presidents Award for outstanding contributions of IT to stakeholders in agriculture
  • 2021 –  International Commission of Agricultural and Biosystems Engineering (CIGR) Special Merit Award for services to Information Technology in Agriculture
  • 2011 – Perth Convention Bureau Development Fund awardee
  • 2008 – CRA Travel Scholarship to attend the CRA Peer Mentoring in USA
  • 1987 – Grains Research and Development Corporation (Australia) postgraduate scholarship, University of Queensland

University and National Teaching Awards

  • 2014 – 2022 WAITTA (INCITE) State finalist Awards for undergraduate and postgrad student
  • 2004 -  ECU Teaching and Learning Grant

National and International Research Positions

  • 2022    National Science Fund (USA) Grant reviewer for Computer Science Small Grants
  • 2022    Western Australian Agricultural Research Collaboration (WAARC) programs (ECU Representative  on Transforming Grains, Northern Agriculture, AgTech Committees)
  • 2018 – present Research Associate with DPIRD, Western Australia
  • 2017 – present Grant Reviewer of United States/Israel Binational Agricultural Research and Development Fund Grants
  • 2017 – 2023 Research Mentor for Chiang Mai/ Khon Kaen University Research Grant Project
  • 2017 – present Adjunct Faculty at Don Bosco Institute of Technology, Mumba India
  • 2017 – 2021 Project Mentor on Smart Farming Project, Thailand with RMUTTO university
  • 2017- 2018 Advisory Board of  GeoAgri Project with Gujarat government
  • 2015 – 2016 Visiting Fellow at IIIT Hyderabad, India
  • 2015 – 2016 Grant Mentor for India Government Grant related to Agricultural Extension
  • 2014 – Visiting Professorship at School of Resource Engineering, Khon Kaen University
  • 2012 – present  Adjunct Faculty and PhD Guide in Computer Science, University of Mumbai India
  • 2010 – Visiting Professorship at CSRE, IIT Bombay.
  • 1994- 2002 –Agricultural Scientist Department of Agriculture, Western Australia.

Editorial Boards

  • 2021 - International Commission of Agricultural and Biosystems Engineering Journal
  • 2020 - Editorial Board Member International Journal of Sustainable Agricultural Management and Informatics

Research Areas and Interests

Leisa leads the Digitial Agriculture Research area at ECU. Her research contributes to improving global food security and agricultural sustainability and promote advances in computer science towards climate science resilient agriculture. Leisa brings a multidisciplinary approach to her research with expertise in computer, agriculture, and environmental sciences. She has published in multiple disciplines. Her research areas include:

  • Artificial Intelligence/Machine Learning
  • Image Processing
  • Agricultural decision support tools,
  • Agriculture data
  • UAV/drone and environmental sensor data
  • Virtual reality education tools
  • Broad acre crop physiology/agronomy
  • Agricultural systems.

Qualifications

  • Master of Science (Software Engineering), Edith Cowan University, 2002.
  • PhD, The University of Queensland, 1994.

Research Outputs

2023

Journal Articles

Conference Publications

  • Maqbool, H., Cook, D., Napier, C., Armstrong, L., Diepeveen, D., Hrishikesh, N. (2023). Early Aesthetics Integration in Digital Twin Dashboards in Isolated Agriculture: Data Modelling and Remote Networks. 2023 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS) (77-83). IEEE. https://doi.org/10.1109/AGERS61027.2023.10490774.
  • Jahan, MI., Sazzad, TM., Armstrong, L. (2023). Automated Breast Tumor Detection Using MRI Images. 2023 International Conference on Electrical, Computer and Communication Engineering (ECCE) (5). IEEE. https://doi.org/10.1109/ECCE57851.2023.10101626.
  • Napier, C., Cook, D., Armstrong, L., Diepeveen, D. (2023). A Synthetic Wheat L-System to Accurately Detect and Visualise Wheat Head Anomalies. Proceedings of the 3rd International Conference on Smart and Innovative Agriculture (ICoSIA 2022) (379 - 391). Springer Nature. https://doi.org/10.2991/978-94-6463-122-7_36.
  • Napier, C., Cook, D., Armstrong, L., Diepeveen, D. (2023). Improved image recognition via Synthetic Plants using 3D Modelling with Stochastic Variations. 4th International Conference on Smart and Innovative Agriculture (ICoSIA 2023), BIO Web of Conferences. (7 pages). EDP Sciences. https://doi.org/https://doi.org/10.1051/bioconf/20238006004.

2022

Journal Articles

  • Smith, T., Lee, KH., Yu, K., Armstrong, L., Cook, D. (2022). Exploring issues of Resilience and Technology Use for Older People - A scoping review protocol. Research, Society and Development, 11(15), 1-6. https://doi.org/10.33448/rsd-v11i15.37773.

2021

Conference Publications

  • Hossain, M., Armstrong, L., Abu-Khalaf, J., Cook, D., Zaenker, P. (2021). Overlapping Cell Nuclei Segmentation in Digital Histology Images using Intensity-based Contours. 2021 Digital Image Computing: Techniques and Applications (DICTA) (1-9). IEEE Xplore. https://doi.org/10.1109/DICTA52665.2021.9647395.

2020

Journal Articles

  • Pazhoumanddar, H., Armstrong, L., Tripathy, A. (2020). Detecting deviations from activities of daily living routines using kinect depth maps and power consumption data. Journal of Ambient Intelligence and Humanized Computing, 11(4), 1727-1747. https://doi.org/10.1007/s12652-019-01447-3.

2019

Conference Publications

  • Da Paz, R., Sehovic, A., Cook, D., Armstrong, L. (2019). A Novel Approach to Resource Starvation Attacks on Message Queuing Telemetry Transport Brokers. Proceedings of the 2019 4th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE) (150-154). IEEE. https://doi.org/10.1109/ICITISEE48480.2019.9003770.

2018

Conference Publications

  • Chatuphale, PA., Armstrong, L. (2018). Indian Mobile Agricultural Services Using Big Data and Internet of Things (IoT). Intelligent Systems Design and Applications: 17th International Conference on Intelligent Systems Design and Applications (ISDA 2017) (1028-1037). Springer. https://doi.org/10.1007/978-3-319-76348-4_99.
  • Kanojia, M., Gandhi, N., Armstrong, L., Suthar, C. (2018). Fingerprint based gender identification using digital image processing and artificial neural network. Intelligent Systems Design and Applications: 17th International Conference on Intelligent Systems Design and Applications (ISDA 2017) (1018-1027). Springer. https://doi.org/10.1007/978-3-319-76348-4_98.
  • Wankhede, SS., Armstrong, L. (2018). Characterising the Impact of Drought on Jowar (Sorghum spp) Crop Yield Using Bayesian Networks. Intelligent Systems Design and Applications: 17th International Conference on Intelligent Systems Design and Applications (ISDA 2017) (979-987). Springer Verlag. https://doi.org/10.1007/978-3-319-76348-4_94.
  • Kanojia, M., Gandhi, N., Armstrong, L., Pednekar, P. (2018). Automatic identification of malaria using image processing and artificial neural network. Intelligent Systems Design and Applications: 17th International Conference on Intelligent Systems Design and Applications (ISDA 2017) (846–857). Springer. https://doi.org/10.1007/978-3-319-76348-4_81.

2017

Conference Publications

  • Sazzad, T., Armstrong, L., Tripathy, A. (2017). An automated ovarian tissue detection approach using type P63 non-counter stained images to minimize pathology experts observation variability. 2016 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES) (155-159). Institute of Electrical and Electronics Engineers, Inc.. https://doi.org/10.1109/IECBES.2016.7843434.
  • Wankhede, S., Armstrong, L., Gandhi, N. (2017). Characterising the Influence of Drought on Jowar Crop Production in India Using Association Rule Mining. Proceedings of 2017 IEEE Conference on Technological Innovations in ICT for Agriculture and Rural Development (TIAR 2017) (57-63). IEEE. https://doi.org/10.1109/TIAR.2017.8273686.
  • Gandhi, N., Armstrong, L., Nandawadekar, M. (2017). Application of data mining techniques for predicting rice crop yield in semi-Arid Climate Zone of India. Proceedings of 2017 IEEE Conference on Technological Innovations in ICT for Agriculture and Rural Development (TIAR 2017) (116-120). IEEE.

2016

Conference Publications

  • Gandhi, N., Petkar, O., Armstrong, L. (2016). Rice Crop Yield Prediction using Artificial Neural Networks. Proceedings of International Conference on 2016 IEEE Technological Innovations in ICT for Agriculture and Rural Development (TIAR) (105-110). Institute of Electrical and Electronics Engineers, Inc.. https://doi.org/10.1109/TIAR.2016.7801222.
  • Sazzad, T., Armstrong, L., Tripathy, A. (2016). An Automated Approach to Detect Human Ovarian Tissues Using Type P63 Counter Stained Histopathology Digitized Color Images. Proceedings of 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) (25 - 28). Institute of Electrical and Electronics Engineers, Inc.. https://doi.org/10.1109/BHI.2016.7455826.
  • Sazzad, T., Armstrong, L., Tripathy, A. (2016). A Comprehensive Analysis: Automated Ovarian Tissue Detection Using Type P63 Pathology Color Images. Machine Learning and Data Mining in Pattern Recognition (714-727). Springer International Publishing. https://doi.org/10.1007/978-3-319-41920-6_54.
  • Gandhi, N., Armstrong, L. (2016). Applying data mining techniques to predict yield of rice in Humid Subtropical Climatic Zone of India. Proceedings of the 10th INDIACom-2016, 3rd 2016 IEEE International Conference on Computing for Sustainable Global Development (1901-1906). Institute of Electrical and Electronics Engineers, Inc..
  • Gandhi, N., Armstrong, L. (2016). A review of the application of data mining techniques for decision making in agriculture. Proceedings of IEEE 2nd International Conference on Contemporary Computing and Informatics (1-6). Institute of Electrical and Electronics Engineers, Inc.. https://doi.org/10.1109/IC3I.2016.7917925.
  • Taechatanasat, P., Armstrong, L., Nilsook , P. (2016). Designing a Multilanguage Blended Learning System for Thai agricultural Science Students. Proceedings of the 2016 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE) (131 - 138). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/TALE.2016.7851783.
  • Gandhi, N., Armstrong, L., Petkar, O. (2016). Proposed Decision Support System (DSS) for Indian Rice Crop Yield Prediction. Proceedings of International Conference on 2016 IEEE Technological Innovations in ICT for Agriculture and Rural Development (TIAR) (13-18). Institute of Electrical and Electronics Engineers, Inc.. https://doi.org/10.1109/TIAR.2016.7801205.
  • Sazzad, T., Armstrong, L., Tripathy, A. (2016). Type P63 digitized color images performs better identification for ovarian reproductive tissue analysis. 2016 International Image Processing, Applications and Systems (IPAS) (article number 126904). Institute of Electrical and Electronics Engineers, Inc.. https://doi.org/10.1109/IPAS.2016.7880069.
  • Gandhi, N., Armstrong, L. (2016). Assessing impact of seasonal rainfall on rice crop yield of Rajasthan, India using Association Rule Mining. Proceedings of the 2016 International Conference on Advances in Computing, Communications and Informatics (1021-1024). Institute of Electrical and Electronics Engineers, Inc.. https://doi.org/10.1109/ICACCI.2016.7732178.
  • Sazzad, T., Armstrong, L., Tripathy, A. (2016). A Comprehensive Analysis and Review: Automated Ovarian Tissue Detection Using Type P63 Pathology Color Images. Proceedings of The 13th International Joint Conference on Computer Science and Software Engineering (JCSSE), (116-121). Institute of Electrical and Electronics Engineers, Inc.. https://doi.org/10.1109/JCSSE.2016.7748857.
  • Sazzad, T., Armstrong, L., Tripathy, A. (2016). A Comparative Study of Computerized Approaches for Type P63 Ovarian Tissues Using Histopathology Digitized Color Images. Proceedings of the International Conferences on Interfaces and Human Computer Interaction 2016, Game and Entertainment Technologies 2016 and Computer Graphics, Visualization, Computer Vision and Image Processing 2016 (187-194). International Association for Development of the Information Society.
  • Gandhi, N., Armstrong, L. (2016). Rice crop yield forecasting of Tropical Wet and Dry climatic zone of India using data mining techniques. 2016 IEEE International Conference on Advances in Computer Applications (357-363). Institute of Electrical and Electronics Engineers, Inc.. https://doi.org/10.1109/ICACA.2016.7887981.
  • Gandhi, N., Armstrong, L., Petkar, O., Tripathy, A. (2016). Rice Crop Yield Prediction in India using Support Vector Machines. Proceedings of The 13th International Joint Conference on Computer Science and Software Engineering (JCSSE) (111-115). Institute of Electrical and Electronics Engineers, Inc.. https://doi.org/10.1109/JCSSE.2016.7748856.
  • Armstrong, L., Nallan, S. (2016). Agricultural decision support framework for visualisation and prediction of Western Australian crop production. Proceedings of the 10th INDIACom-2016, 3rd 2016 IEEE International Conference on Computing for Sustainable Global Development (1907-1912). Institute of Electrical and Electronics Engineers, Inc..
  • Sazzad, T., Armstrong, L., Tripathy, A. (2016). Type P63 Non-Counter Stained Digitized Color Images Performs Better Identification than Other Stains for Ovarian Tissue Analysis. Proceedings 2016 20th International Conference Information Visualisation IV 2016 (361 – 366). Institute of Electrical and Electronics Engineers, Inc.. https://doi.org/10.1109/IV.2016.49.
  • Sazzad, T., Armstrong, L., Tripathy, A. (2016). Type P63 Digitized Color Images Performs Better Identification than Other Stains for Ovarian Tissue Analysis. Articulated Motion and Deformable Objects: 9th International Conference, AMDO 2016. Lecture Notes in Computer Science (44-54). Springer International Publishing. https://doi.org/10.1007/978-3-319-41778-3_5.
  • Gandhi, N., Armstrong, L., Petkar, O. (2016). Predicting Rice Crop Yield using Bayesian Networks. Proceedings of the 2016 International Conference on Advances in Computing, Communications and Informatics (795-799). Institute of Electrical and Electronics Engineers, Inc.. https://doi.org/10.1109/ICACCI.2016.7732143.

2015

Journal Articles

  • Babatunde, O., Armstrong, L., Leng, J., Diepeveen, DA. (2015). A neuronal classification system for plant leaves using genetic image segmentation. British Journal of Mathematics & Computer Science, 9(3), 261-278. https://doi.org/10.9734/BJMCS/2015/14611.
  • Babatunde, O., Armstrong, L., Leng, J., Diepeeen, DA. (2015). Comparative analysis of genetic algorithm and particle swam optimization: An application in precision agriculture. Asian Journal of Computer and Information Systems, 3(1), 1-12.
  • Thavorntam, W., Tantemsapya, N., Armstrong, L. (2015). A combination of meteorological and satellite-based drought indices in a better drought assessment and forecasting in Northeast Thailand. Natural Hazards, 77(3), 1453-1474. https://doi.org/10.1007/s11069-014-1501-0.
  • Babatunde, O., Armstrong, L., Leng, J., Diepeveen, DA. (2015). A computer-based vision systems for automatic identification of plant species using kNN and genetic PCA. Agrarinformatika Folyoirat (Journal of Agricultural Informatics), 62(2), 32-44. https://doi.org/10.17700/jai.2015.6.2.164.
  • Babatunde, O., Armstrong, L., Diepeveen, DD., Leng, J. (2015). A survey of computer-based vision systems for automatic identification of plant species. Agrarinformatika Folyoirat (Journal of Agricultural Informatics), 6(1), 61-71. https://doi.org/10.17700/jai.2015.6.1.152.

Conference Publications

  • Sazzad, T., Armstrong, L., Tripathy, A. (2015). An Automated Detection Process to Detect Ovarian Tissues Using Type P63 Digitized Color Images. ICTAI 2015 27th International Conference onTools with Artificial Intelligence (278 - 285). IEEE. https://doi.org/10.1109/ICTAI.2015.51.
  • Nallan, S., Armstrong, L., Tripathy, A., Teluguntla, P. (2015). Hot Spot Analysis Using NDVI Data For Impact Assessment Of Watershed Development. Proceedings of The International Conference On Technologies For Sustainable Development (ICTSD-2015) (1-5). IEEE. https://doi.org/10.1109/ICTSD.2015.7095869.

2014

Journal Articles

  • Babatunde, O., Armstrong, L., Leng, J., Diepeveen, D. (2014). A Genetic Algorithm-Based Feature Selection. International Journal of Electronics Communication and Computer Engineering, 5(4), 899-905.
  • Babatunde, O., Armstrong, L., Leng, J., Diepeveen, D. (2014). Zernike Moments and Genetic Algorithm : Tutorial and Application. British Journal of Mathematics and Computer Science, 4(15), 2217-2236. https://doi.org/10.9734/BJMCS/2014/10931.
  • Babatunde, O., Armstrong, L., Leng, J., Diepeveen, D. (2014). On the Application of Genetic Probabilistic Neural Networks and Cellular Neural Networks in Precision Agriculture. Asian Journal of Computer and Information Systems, 2(4), 90-101.
  • Gandhi, N., Wankhede, SS., Armstrong, L. (2014). Applications of Expert System in Agriculture. International Journal of Pure and Applied Research in Engineering and Technology, 3(1), 86-94.

Conference Publications

  • Ranjeet, T., Armstrong, L. (2014). An Artificial Neural Network for Predicting Crops Yield in Nepal. Proceedings of the 9th Conference of the Asian Federation for Information Technology in Agriculture (371-381). Australian Society of Information and Communication Technologies in Agriculture.
  • Nallan, S., Armstrong, L., Croke, B., Tripathy, A. (2014). Geospatial data pre-processing on watershed datasets: A GIS approach. Proceedings of the 9th Conference of the Asian Federation for Information Technology in Agriculture (328-336). Australian Society of Information and Communication Technologies in Agriculture.
  • Gandhi, N., Armstrong, L. (2014). ICTs for Agricultural Extension: A study in Ratnagiri district of Maharashtra, India. Proceedings of the 9th Conference of the Asian Federation for Information Technology in Agriculture (152-162). Australian Society of Information and Communication Technologies in Agriculture.
  • Babatunde, O., Armstrong, L., Leng, J., Diepeveen, D. (2014). Application of Cellular Neural Networks and Naive Bayes Classifier in Agriculture. Proceedings of the 9th Conference of the Asian Federation for Information Technology in Agriculture (63-72). Australian Society of Information and C.
  • Shah, P., Gandhi, N., Armstrong, L. (2014). Mobile Applications for Indian Agriculture Sector: A case study. Proceedings of the 9th Conference of the Asian Federation for Information Technology in Agriculture (424 - 434). Australian Society of Information and Communication Technologies in Agriculture.
  • Leng, J., Neuhaus, A., Armstrong, L. (2014). A network that really works – the application of artificial neural networks to improve yield predictions and nitrogen management in Western Australia. Proceedings of the 9th Conference of the Asian Federation for Information Technology in Agriculture (298-306). Australian Society of Information and Communication Technologies in Agriculture.
  • Saxena, L., Armstrong, L. (2014). A survey of image processing techniques for agriculture. Proceedings of the 9th Conference of the Asian Federation for Information Technology in Agriculture (401-413). Australian Society of Information and Communication Technologies in Agriculture.
  • Neuhaus, A., Armstrong, L., Leng, J., Diepeveen, D., Anderson, G. (2014). Integrating soil and plant tissue tests and using an artificial intelligence method for data modelling is likely to improve decisions for in-season nitrogen management. 2014 Crop Updates (1-7). Grain Industry Assoc. of WA.
  • Wankhede, SS., Gandhi, N., Armstrong, L. (2014). Role of ICTs in improving drought scenario management in India. Proceedings of the 9th Conference of the Asian Federation for Information Technology in Agriculture (521-530). Australian Society of Information and Communication Technologies in Agriculture.
  • Taechatanasat, P., Armstrong, L. (2014). Decision Support System Data for Farmer Decision Making. Proceedings of the 9th Conference of the Asian Federation for Information Technology in Agriculture (472-486). Australian Society of Information and Communication Technologies in Agriculture.
  • Nilsook, P., Armstrong, L., Taechatanasat, P., Ranjeet, T. (2014). Web-based training in e-Agriculture for Agricultural College. Proceedings of the 9th Conference of the Asian Federation for Information Technology in Agriculture (360-370). Australian Society of Information and Communication Technologies in Agriculture.

2012

Conference Publications

  • Armstrong, L., Gandhi, N. (2012). Factors influencing the use of information and communication technology (ICT) tools by the rural famers in Ratnagiri District of Maharashtra, India.. Proceedings of the Third National Conference on Agro-Informatics and Precision Agriculture 2012 (APIA 2012) (58-63). Allied Publishers Private Ltd.
  • Armstrong, L., Gandhi, N., Lanjekar, K. (2012). Use of Information and Communication Technology (ICT) tools by rural farmers in Ratnagiri District of Maharastra, India.. Proceedings International Conference on Communication Systems and Network Technologies CSNT 2012 (950 - 955). IEEE. https://doi.org/10.1109/CSNT.2012.202.
  • Armstrong, L., Sehovic, A., Diepeveen, D., Dunstan, N. (2012). Data mining software tools to improve water catchment and agricultural land management in Australia. Proceedings of 8th Asian Conference for Information and Communication Technology in Agriculture (1-7). Asian Federation for Information and Communication Technology in Agriculture.
  • Nallan, S., Armstrong, L. (2012). Assessment of Climate Change Effect on Water Harvesting Structures in Rainfed Regions: Geospatial Data Mining Approach. Proceedings of the Third National Conference on Agro-Informatics and Precision Agriculture 2012 (201-204). Allied Publishers Private Ltd.

2011

Conference Publications

  • Armstrong, L., Diepeveen, D., Gandhi, N. (2011). Effective ICTs in agricultural value chains to improve food security: An international perspective. Proceedings of the 2011 World Congress on Information and Communication Technologies (CD). Research Publishing Services. https://doi.org/10.1109/WICT.2011.6141422.

2010

Journal Articles

  • Armstrong, L., Diepeveen, D., Tantisantisom, K. (2010). An eAgriculture-based Decision Support Framework for Information Dissemination. International Journal of Human Capital and Information Technology Professionals (IJHCITP), 1(4), 1-13. https://doi.org/10.4018/jhcitp.2010100101.

Conference Publications

  • Sehovic, A., Armstrong, L., Diepeveen, D. (2010). Interrogation of water catchment data sets using data mining techniques. Proceedings of the Knowledge Discovery for Rural Systems Workshop 2010 (35-48). Edith Cowan University.
  • Vagh, Y., Armstrong, L., Diepeveen, D. (2010). Application of a data mining framework for the identification of agricultural production areas in WA. Proceedings of the Knowledge Discovery for Rural Systems Workshop 2010 (11-22). Edith Cowan University.
  • Leng, J., Valli, C., Armstrong, L. (2010). A Wrapper-based Feature Selection for Analysis of Large Data Sets. 2010 3rd International Conference on Computer and Electrical Engineering (ICCEE 2010) (167-170). IEEE.

2009

Conference Publications

  • Diepeveen, D., Armstrong, L. (2009). Applying Data Mining Techniques in the Selection of Plant Traits. Proceedings of the IASK International Conferences E-Activity and Leading Technologies and InterTIC 2009 (157-160). International Association for the Scientific Knowleldge.
  • Armstrong, L., Diepeveen, DA. (2009). An evaluation of methodologies for eAgriculture in an Australian context. Proceedings of the IASK International Conference E-Activity and Leading Technologies & InterTIC 2009 (84-89). International Association for the Scientific Knowleldge.
  • Armstrong, L., Diepeveen, D. (2009). An information-based decision support framework for eAgriculture. Proceedings of the IASK International Conferences E-Activity and Leading Technologies and InterTIC 2009 (76-83). International Association for the Scientific Knowleldge.
  • Dunstan, N., Armstrong, L., Diepeveen, DA. (2009). Selecting Areas for Land Use Change in a Catchment. Proceedings of the 4th Indian International Conference on Artificial Intelligence (IICAI) (1114-1123). Indian International Conference on Artificial Intelligence.

2008

Conference Publications

  • Tantisureeporn, S., Armstrong, L. (2008). Introducing a New Technology to Enhance Community Sustainability: An Investigation of the Possibilities of Sun Spots. Proceedings of the EDU-COM 2008 International Conference (488-495). Edith Cowan University.

2007

Book Chapters

  • Adkins, SW., Armstrong, L. (2007). The Effect of Light Intensity on Seed Production and Quality in a Number of Australian Wild Oat (Avena fatua L.) Lines. Seeds: Biology, Development and Ecology (383-397). CABI.

Conference Publications

  • Armstrong, L., Diepeveen, D., Maddern, R. (2007). The Application of Data Mining Techniques to Characterize Agricultural Soil Profiles. Proceedings of the 6th Australasian Data Mining Conference (AusDM'07): Data Mining and Analytics 2007 (85-99). Australian Computer Society Inc.
  • Kasinath, G., Armstrong, L. (2007). Importance of verification and validation of data sources in attaining information superiority. Proceedings of the 5th Australian Information Security Management Conference (126-133). School of Computer and Information Science, Edith Cowan University.
  • Kasinath, G., Armstrong, L. (2007). Analysis of PKI as a means of securing ODF documents. Proceedings of the 5th Austaliran Information Security Management Conference (134-140). School of Computer and Information Science, Edith Cowan University.
  • Kasinath, G., Armstrong, L. (2007). Securing J2ME mobile application API using XACML. Proceedings of IASK International Conference Global Management 2007 (450-458). International Association for the Scientific Knowledge.
  • Brogan, M., Armstrong, L. (2007). Network engineering for C-Commerce innovation: the role of trust. Proceedings of IADIS International Conference -eCommerce 2007 (280-285). IADIS Press.

2006

Conference Publications

  • Singh, K., Armstrong, L. (2006). International Postgraduate Student Experience: How can we enhance transition management?. Proceedings of EDU-COM 2006 International Conference: Engagement and Empowerment: New Opportunities for Growth in Higher Education (460-472). Edith Cowan University.
  • Armstrong, L., Singh, K. (2006). Empowering International and Culturally Diverse Honours and Project Students Through Mentoring Activities. Engagement and Empowerment: New Opportunities for Growth in Higher Education (56-68). Edith Cowan University.
  • Mahncke, R., Armstrong, L. (2006). Websites recommended by Australian Healthcare Practitioners' for use by Overweight and Obese Adolescents. Proceedings of the 2nd International Conference on Information Management and Business (IMB2006) (408-415). University of Western Sydney.
  • Collins, M., Holme, C., Tan, A., Armstrong, L. (2006). An automated sampling soil reduction-oxygenation RF sensor network for cereal crop management. Proceeding of IEEE TENCON 2006 (4p). IEEE Hong Kong Section.

2005

Conference Publications

  • Armstrong, L., Mahncke, R. (2005). The Role of an Online Community to Support Overweight Adolescents: A Survey of Australian Healthcare Professionals. Research in Progress. Managing Modern Organizations with Information Technology: IRMA 2005 Proceedings (1-4). Information Resources Management Association, USA.
  • Brogan, M., Armstrong, L. (2005). C-Commerce Innovation: Unravelling the effects of knowledge ties on embedded network structure. Proceedings of the Knowledge Management in Asia Pacific Conference (KMAP 2005): Building a Knowledge Society (1-12). School of Management, Victoria University of Wellington.

2004

Conference Publications

  • Armstrong, L., Mahncke, R. (2004). Developing a Virtual Community for Overweight and Obese Children: A Pilot Study - Research in Progress. 5th International We-B (Working for e-Business) Conference Proceedings (0). Edith Cowan University.
  • Ahmed, S., Armstrong, L. (2004). Securing Web Services with XML Digital Signatures. Proceedings of the 2nd Australian Information Security Management Conference (0). Edith Cowan University.
  • Holme, C., Armstrong, L., Collins, M. (2004). Radio Frequency Enabled Soil Redox Potential Sensor Networks. Proceedings of the 2nd Australian Undergraduate Students' Computing Conference 2004 (0). Australian Undergraduate Students' Computing Conference.

Research Projects

  • Digital methods for decision making when using semi-autonomous machinery in Australian agriculture, Department of Jobs, Tourism, Science and Innovation, WA Science Industry PhD Fellowship Program, 2019 ‑ 2023, $30,000.
  • Digital methods for decision making when using semi-autonomous machinery in Australian agriculture, Department of Primary Industries and Regional Development, Department of Primary Industries and Regional Development, 2018 ‑ 2023, $17,500.
  • On-line security and resilience of older West Australians, Department of Jobs, Tourism, Science and Innovation, Covid-19 Research Fund, 2020 ‑ 2023, $100,000.
  • Drought assessment and forecasting using data mining techniques in Northern Thailand, Chiang Mai University, Young Research Grant, 2018 ‑ 2019, $857.
  • Impact of Extreme Climate Conditions on Social Well-Being in Agricultural Sector , Chiang Mai University, Khon Kae University Grant, 2018 ‑ 2019, $2,570.
  • Evaluate methodologies for eAgriculture in Western Australia, Moora Milling Pasture Improvement Group, Grant, 2011 ‑ 2014, $31,167.
  • Utilisation of leading edge ICT to enhance Australian and Indian ground water and land resources under climate change scenarios, The Department of Industry, Innovation, Climate Change, Science, Research and Tertiary Education , Australia-India Strategic Research Fund, 2012 ‑ 2013, $22,220.
  • Wireless Mesh Network for Grain Food Laboratory, Nortel Networks, Grant, 2009 ‑ 2012, $24,460.
  • Evaluate Methodologies for eAgriculture in Western Australia, Department of Primary Industries and Regional Development, Grant, 2009 ‑ 2010, $71,502.
  • An investigation into the incorporation of leading edge mobile technologies in the recreational and adventure tourism industries , CRC Centre for Sustainable Tourism, Grant, 2006 ‑ 2007, $20,000.
  • Leading edge developments in tourism ICT and related underlying technologies, CRC Centre for Sustainable Tourism, Grant, 2004, $17,000.

Research Student Supervision

Current Supervisions

Principal Supervisor

  • Doctor of Philosophy, Machine learning approaches for anatomical feature measurement in fetal ultrasound imaging
  • Master of Computing and Security by Research, Advanced Crop Recognition using novel L-system plant modeling
  • Master of Science (Computer Science), Using Virtual Reality Learning Environments in science to engage secondary students in Hazardous activities

Completed Supervisions

Principal Supervisor

  • Doctor of Philosophy, Geospatial and data mining approaches to assess the impact of watershed development in Indian rainfed areas
  • Doctor of Philosophy, A neuro-genetic hybrid approach to automatic identification of plant leaves
  • Doctor of Philosophy, Unsupervised monitoring of adls of an elderly person using kinect sensors and a power meter
  • Master of Science (Computer Science), Fine-grained access control of odf documents using xacml.
  • Doctor of Philosophy, A multilanguage blended learning approach for Thai agricultural science students
  • Doctor of Information Technology, Information dissemination in multiple formats to farming communities in Thailand
  • Master of Science (Computer Science), Adoption of cloud computing in Australian agricultural industries
  • Doctor of Philosophy, An automated approach to identify non-growing follicles using digitized images of type p63 histopathology ovarian slides
  • Doctor of Philosophy, An Automated Deep Learning Based Approach for Nuclei Segmentation of Renal Digital Histopathology Image Analysis

Co-principal Supervisor

  • Master of Science (Computer Science), Analysing small-sample-size methylation data to identify biomarkers for congenital heart defects
  • Master of Computing and Security by Research, An Investigation of Change in Drone Practices in Broadacre Farming Environments

Associate Supervisor

  • Master of Computing and Security by Research, Optimising a Defense-aware Threat Modelling Diagram Incorporating a Defense-in-Depth Approach for the Internet-of-Things
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