2021 Publications

Keshav D. Singh, Hema S. N. Duddu, Sally Vail, Isobel Parkin & Steve J. Shirtliffe (2021) UAV-Based Hyperspectral Imaging Technique to Estimate Canola (Brassica napus L.) Seedpods Maturity, Canadian Journal of Remote Sensing.

Lam, K.; Gutwin, C.; Klarkowski, M.; Cockburn, A. The Effects of System Interpretation Errors on Learning New Input Mechanisms. Proceedings of the Conference on Human Factors in Computing Systems. Yokohama, Japan. ACM Press. January 15, 2021.

W. Gleim, R. S. Gray and S. J. Smyth. 2021. Forensics at the Port: Can Diagnostic Testing Benefit Trade? Sustainability, 13, 1, 106.

2020 Publications

Awada, L., P. Phillips, & S. Smyth. 2020. The Adoption of Automated Phenotyping by Plant Breeders” in "Intelligent Image Analysis for Plant Phenotyping", Ashok Samal (Editor), Sruti Das Choudhury (Editor), ISBN 9781138038554, CRC Press, Taylor & Francis Group

Awada, L.; Phillips, P.W.B. The distribution of returns from land efficiency improvement in multistage production systems. Canadian Journal of Agricultural Economics. November 4, 2020.

Ayalew, T.; Ubbens, J.; Stavness, I. Unsupervised Domain Adaptation for Plant Organ Counting. Computer Vision Problems in Plant Phenotyping Workshop. August 28, 2020.

Bandi, V.; Gutwin, C. Interactive Exploration of Genomic Conservation. Graphics Interface 2020 Conference. Toronto, Canada. CHCCS Press. May 15, 2020.

Bazghaleh, N.; Mamet, S.D.; Bell, J.K.; Morales Moreira, Z.; Taye, Z.M.; Williams-Johnson, S.; Arcand, M.M.; Lamb, E.G.; Shirtliffe, S.; Vail, S.; Siciliano, S.D.; Helgason, B. An intensive multilocation temporal dataset of fungal and bacterial communities in the root and rhizosphere of Brassica napus. Data in Brief. 2020, 31, 106143.

Bazghaleh, N.; Mamet, S.D.; Bell, J.K.; Morales Moreira, Z.; Taye, Z.M.; Williams-Johnson, S.; Arcand, M.M.; Lamb, E.G.; Shirtliffe, S.; Vail, S.; Siciliano, S.D.; Helgason, B. An intensive multilocation temporal dataset of fungal communities in the root and rhizosphere of Brassica napus. Data in Brief. 2020, 30, 105467.

Bernard, J.; McQuillan, I. Inferring Temporal Parametric L-systems Using Cartesian Genetic Programming. 32nd International Conference on Tools with Artificial Intelligence (ICTAI). Baltimore, Md., USA. 2020, 580-588.

Chaudhary, R.; Koh, C.S.; Kagale, S.; Tang, L.; Wu, S.W.; Lv, Z.; Mason, A.S.; Sharpe, A.G.; Diederichsen, A.; Parkin, I.A.P. Assessing Diversity in the Camelina Genus Provides Insights into the Genome Structure of Camelina sativa. G3: Genes, Genomes, Genetics. 2020, 10 (4), 1297-1308.

Costa, D.; Aziz, U.; Elliott, J.; Baulch, H.; Roy, B.; Schneider, K.; Pomeroy, J. The Nutrient App: Developing a smartphone application for on-site instantaneous community-based NO3 and PO4 monitoring. Environmental Modelling & Software. 2020, 133, 104829. 

Gutwin, C.; van der Kamp, M.; Storring, J.; Cockburn, A.; Phillips, C. Testing the Limits of the Spatial Approach: Comparing Retrieval and Revisitation Performance of Spatial and Paged Data Organizations for Large Item Sets. Proceedings of Graphics Interface 2020. Toronto, Canada. CHCCS Press. May 15, 2020.

Habibullah, M.; Mohebian, M.R.; Soolanayakanahally, R.; Bahar, A.N.; Vail, S.; Wahid, K.A.; Dinh, A. 2020. Low-Cost Multispectral Sensor Array for Determining Leaf Nitrogen Status. Nitrogen. 1, 1, 67-80. MDPI. 

Halcro, K.; McNabb, K.; Lockinger, A.; Socquet-Juglard, D.; Bett, K.; Noble, S. The BELT and phenoSEED platforms: shape and colour phenotyping of seed samples. Plant Methods. 2020, 16, 49. 

Hossain, M.M.; Roy, B.; Roy, C.K.; Schneider, K.A. VizSciFlow: A Visually Guided Scripting Framework for Supporting Complex Scientific Data Analysis. Journal of Proceedings of the ACM on Human-Computer Interaction. 2020, 4, 34 pages.

Khan, N. A.; Lyon, O. A. S.; Eramian, M.; McQuillan, I. A Novel Technique Combining Image Processing, Plant Development Properties, and the Hungarian Algorithm, to Improve Leaf Detection in Maize. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Seattle, WA, USA. 2020, 330-339.

Khan, N.; Stavness, I. Pruning Convolutional Filters Using Batch Bridgeout. IEEE Access. 8, 212003-212012. IEEE.

Lassoued, R, Smyth, J.S, Phillips, P.W.B. Regulation of gene editing for crop improvement: A global expert opinion. Ag-West bio-Bulletin Oct 2020.

Lassoued, R.; Macall, D.; Smyth, S.J.; Phillips, P.W.B.; Hesseln, H. How should we regulate products of new breeding techniques? Opinion of surveyed experts in plant biotechnology. Biotechnology Reports. 2020, 26, e00460.

Mairena, A.; Gutwin, C.; Dechant, M.; Cockburn, A. A Baseline Study of Emphasis Effects in Information Visualization. Proceedings of Graphics Interface 2020. Toronto, Canada, CHCCS Press. May 15, 2020.

Mondal, M.;Roy, B.; Roy, C.K.; Schneider, K.A. Investigating Near-Miss Micro-Clones in Evolving Software. Proceedings of the 28th ACM/IEEE International Conference on Program Comprehension (ICPC 2020). Seoul, South Korea. 2020, 11 pages.

Mostaeen, G.; Roy, B.; Roy, C.K.; Schneider, K.; Svajlenko, J. A machine learning based framework for code clone validation. Journal of Systems and Software. 2020, 169, 110686.

Nielsen, K. May 2020. Using UAV-Based Imagery to Determine Volume, Groundcover, and Growth Rate Characteristics of Lentil (Lens culinaris Medik.). M.Sc. Thesis, University of Saskatchewan.

J. Smyth and T. C. Charles. 2020. Impacts on International Research Collaborations from DSI/ABS Uncertainty. Trends in Biotechnology.

J. Smyth. 2020. Regulatory Barriers to Improving Global Food Security. Global Food Security, 26, Article 100440.

Siegmund, J.; Roy, C.K. Preface to the special issue on program comprehension. Empir Software Eng. 2020, 25, 3, 2137–2139.

Siri, J.N.; Parkin, I.; Sharpe, A. Using Simulated Annealing to Declutter Genome Visualizations. Proceeding of the Thirty-Third International FLAIRS Conference. 2020, 201-204.

Smyth, S.J.; Sutherland, C. Assessing Innovative Sustainability. Report submitted to the Agri-Food Innovation Council. May 2020.

Sutherland, C; Sim, C.;Gleim, S.; Smyth, S.J. Canadian Consumer Insights on Agriculture: Addressing the Knowledge-Gap. J Agr Food Inform. 2020, 21, 50-72.

Torres-Tello, J.; Venkatachalam, S.; Moreno, L.; Ko, S.-B. Ensemble Learning for Improving Generalization in Aeroponics Yield Prediction. 2020 IEEE International Symposium on Circuits and Systems (ISCAS). Sevilla, Spain. 2020.

Ubbens, J.R.; Ayalew, T.W.; Shirtliffe, S.; Josuttes, A.; Pozniak, C.; Stavness, I. Auto Count: Unsupervised Segmentation and Counting of Organs in Field Images. European Conference on Computer Vision 2020. August 23, 2020. Virtual Conference.

2019 Publications

2018 Publications

Ademola A. Adenle, E. Jane Morris, Denis J. Murphy, Peter W.B. Phillips, Eduardo Trigo, Peter Kearns, Yun-He Li, Hector Quemada, José Falck-Zepeda, John Komen. In Press. Rationalising the Governance of GM Technologies in Developing Countries. Nature Biotechnology.

Bernard, J. & McQuillan, I. (2018). A Fast and Reliable Hybrid Approach for Inferring L-systems. The 2018 Conference on Artificial Life: A Hybrid of the European Conference on Artificial Life (ECAL) and the International Conference on the Synthesis and Simulation of Living Systems (ALIFE) 2018 : 444-451 

Bernard J. & McQuillan I. (2018) New Techniques for Inferring L-systems Using Genetic Algorithm. In: Korošec P., Melab N., Talbi EG. (eds) Bioinspired Optimization Methods and Their Applications. BIOMA 2018. Lecture Notes in Computer Science, vol 10835. 

Bernard and I. McQuillan, "Inferring Stochastic L-Systems Using a Hybrid Greedy Algorithm," 2018 IEEE 30th International Conference on Tools with Artificial Intelligence (ICTAI), Volos, 2018, pp. 600-607.

de Beer, J., & Jain, V.(2018). Inclusive Innovation in Biohacker Spaces: The Role of Systems and Networks. Technology Innovation Management Review, 8(2): 27-37.

Gleim, S., & Smyth, S. J. (2018). Scientific underpinnings of biotechnology regulatory frameworks. New Biotechnology, 42, 26-32. doi:10.1016/j.nbt.2018.01.004

Hema S.N. Duddu, Vladimir Pajic, Scott D. Noble, Karen K. Tanino & Steven J. Shirtliffe (2018): Image-Based Rapid Estimation of Frost Damage in Canola (Brassica napus L.), Canadian Journal of Remote Sensing, DOI: 10.1080/07038992.2018.146266

Judith F. Islam, Manishankar Mondal, Chanchal K. Roy, Kevin A. Schneider, (2018) Comparing Software Bugs in Clone and Nonclone Codes: An Empirical Study, International Journal of Software Engineering and Knowledge Engineering Vol. 27, Nos. 9&10 1–20

 Maru A, Berne D, De Beer J, Ballantyne P, Pesce V, Kalyesubula S, Fourie N, Addison C, Collet A, Chaves J. (2018). Digital and Data-Driven Agriculture: Harnessing the Power of Data for Smallholders. F1000Research.

McQuillan, I., Bernard, J. & Prusinkiewicz, P. (2018). Algorithms for Inferring Context-Sensitive L-Systems. In: Stepney S., Verlan S. (eds) Unconventional Computation and Natural Computation. UCNC2018. Lecture Notes in Computer Science, vol 10867. 

Shifting the limits in wheat research and breeding using a fully annotated reference genome; P2IRC authors include: Andrew Sharpe, Curtis Pozniak (full list of authors included in article)

Scott Biden, Stuart J. Smyth & David Hudson (2018): The economic and environmental cost of delayed GM crop adoption: The case of australia's GM canola moratorium, GM Crops & Food, DOI: 10.1080/21645698.2018.1429876

The transcriptional landscape of polyploid wheatP2IRC authors include: Andrew Sharpe, Curtis Pozniak (full list of authors included in article)

2017 Publications

Avni R, Nave M, Barad O, Baruch K,Twardziok S, Gundlach H, Hale I, Masche M. et al (2017)  Wild emmer genome architecture and diversity elucidate wheat evolution and domestication. Science 357, 6346, 93-97.

Banani Roy, Amit Kumar Mondal, Chanchal K. Roy, Kevin A. Schneider, Kawser Wazed, (2017)Towards a Reference Architecture for Cloud-Based Plant Genotyping and Phenotyping Analysis Frameworks", The 2017 International Conference on Software Architecture (ICSA 2017), pp. 41-50, Gothenburg, Sweden, April 2017. 

de Beer, Jeremy.(2017) Ownership of Open Data: Governance Options for Agriculture and Nutrition. F1000Research.

Feret, J.-B., A. Gitelson, S.D. Noble, and S. Jacquemoud. (2017). PROSPECT-D: towards modeling leaf optical properties through a complete lifecycle. Remote Sensing of Environment. 193: 204-215.

Runions, A, Tsiantis, M, Prusinkiewicz, P (2017) A common developmental program can produce diverse leaf shapes.   New Phytologist   216   Issue: 2   401-418

Samaniego, M, and Deters R  (2017)  Virtual Resources & Blockchain for Configuration Management in IoT.  Journal of Ubiquitous Systems & Pervasive Networks 9(2): 1-13.

Smyth, S. J. (2017). Genetically modified crops, regulatory delays, and international trade. Food and Energy Security, 6(2), 78-86. doi:10.1002/fes3.100

Stuart J. Smyth, William A. Kerr & Richard S. Gray (2017) Regulatory barriers to international scientific innovation: approving new biotechnology in North America, Canadian Foreign Policy Journal, 23:2, 134-145, DOI: 10.1080/11926422.2016.1190771

Ubbens, J. R., Cieslak, M., Prusinkiewicz, P. & Stavness, I. (2017). Using Plant Models in Deep Learning for High-Throughput Phenotyping. BMC Plant Methods

Ubbens, J. R. & Stavness, I. (2017). Deep Plant Phenomics: A Deep Learning Platform for Complex Plant Phenotyping Tasks.  Frontiers in Plant Science, 8: 1190 1-11

Ubbens, J. R., Cieslak, M., Prusinkiewicz, P. & Stavness, I. (2017). Using Plant Models in Deep Learning for High-Throughput Phenotyping. BMC Plant Methods

2016 Publications