Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
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Tech 1B ii: AI and Machine Learning in Agri-Food Systems
Session Topics: AI / ML in Agri-Food /bio-systems Engineering
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10:35am - 10:47am
ID: 131 / Tech 1B ii: 1 Regular submission (ORAL) Topics: AI / ML in Agri-Food /bio-systems Engineering Keywords: AI/ML, IOT, Edge computing, Cloud computing, BigData Analytics Development of real-time food safety monitoring framework to detect Undeclared allergen(peanut) contamination in wheat flour using Near Infrared Spectrometry (NIRS), IoT, and AI University of Guelph, Canada 10:47am - 10:59am
ID: 165 / Tech 1B ii: 2 Regular submission (ORAL) Topics: Bioresource utilization and Bioproducts (Circular Economy), AI / ML in Agri-Food /bio-systems Engineering Keywords: Rhamnolipids, Biosurfactants, Congener profiling, Machine learning Machine Learning-Guided Bioprocess for Production of Functional Rhamnolipid Biosurfactants University of Guelph, Canada 10:59am - 11:11am
ID: 262 / Tech 1B ii: 3 Regular submission (ORAL) Topics: AI / ML in Agri-Food /bio-systems Engineering Keywords: Foodborne Pathogen, Dairy Product Safety, Ensemble learning, Non-destructive Detection, Listeria quantification Raman spectroscopy coupled with ensemble learning for quantitative detection of Listeria monocytogenes in Queso fresco 1: University of Guelph, Canada; 2: University of Illinois Urbana-Champaign, Urbana, IL, United States 11:11am - 11:23am
ID: 246 / Tech 1B ii: 4 Regular submission (ORAL) Topics: AI / ML in Agri-Food /bio-systems Engineering Keywords: Soil Organic Matter, Machine Learning, Feature Selection, Precision Agriculture, Soil Health Monitoring Interpretable Machine Learning for Field-Scale Soil Organic Matter Prediction Using Long-Term Experimental Data 1: McGill University; 2: INRS; 3: University of Ottawa 11:23am - 11:35am
ID: 223 / Tech 1B ii: 5 Regular submission (ORAL) Topics: AI / ML in Agri-Food /bio-systems Engineering Keywords: deep learning, UAV, weed detection, precision agriculture Weakly supervised dual-mask marginal segmentation for soybean weed based on UAV remote sensing 1: State Key Laboratory for Vegetation Structure, Function and Construction (VegLab), College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China; 2: Department of Bioresource Engineering, McGill University, 21111 Lakeshore Road, Ste Anne de Bellevue, Quebec H9X 3V9, Canada 11:35am - 11:47am
ID: 269 / Tech 1B ii: 6 Regular submission (ORAL) Topics: Other Keywords: Blockchain, Organic strawberry supply chain, Smart contracts, Hyperledger Fabric, Kaleido, Transparency, Traceability, Recall management OrgBerryChain: Blockchain-based traceability system for the organic strawberry supply chain University of Guelph, Canada 11:47am - 11:59am
ID: 293 / Tech 1B ii: 7 Regular submission (ORAL) Topics: AI / ML in Agri-Food /bio-systems Engineering Keywords: Deep Learning; Tomato; CNN Deep Learning-Driven Early Blight & Late Blight Detection in Potato and Tomato Crops: A Multi-Architecture Benchmark Using CNNs, Vision Transformers, and YOLO University of Prince Edward Island, Canada | ||
