| Session | ||
Poster Session 2: Advanced Solutions for Agricultural Remote Sensing
Poster stand numbers: 10-15
| ||
| Presentations | ||
Comparison of YOLOv7 and YOLOv8n for Tree Detection on UAV RGB Imagery 1Faculty of Natural Resource Management, Lakehead University, Canada; 2Department of Software Engineering, Lakehead University, Canada; 3A&L Canada Laboratories, London, Canada; 4Faculty of Forestry and Environmental Management, University of New Brunswick, Canada Evaluation of 1DCNN- LSTM deep learning model for Crop Classification using time series Sentinel-1 and Sentinel-2 in Google Earth Engine (A case study in Quebec, Canada) 1Sherbrooke university, Canada; 2Financière Agricole du Québec Real-time Detection of Currant-lettuce Aphid (Nasonovia Ribisnigri) in Lettuce with the YOLOv8-n Model using an Edge Computing System Université de Sherbrooke, Canada Enhancing Surface Soil Moisture Estimation from Sentinel-2 and Landsat-8 Observations via Integrating Trapezoidal Models and Random Forest Algorithm 1Department of Irrigation and Drainage, Faculty of Water and Environmental Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Iran; 2Centre Eau Terre Environnement, Institut National de la Recherche Scientifique (INRS), Quebec, Canada Evaluating the Potential of Temperature/Vegetation Index Space in Crop Evapotranspiration Estimation at Farm Scale 1Department of Irrigation and Drainage, Faculty of Water and Environmental Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Iran; 2Centre Eau Terre Environnement, Institut National de la Recherche Scientifique (INRS), Quebec, Canada Estimation of Canopy Height using Unmanned Ground Vehicle with LiDAR for Wheat Phenotyping 1Agriculture and Agri-Food Canada (AAFC), 5403 1 Ave S, Lethbridge, AB T1J 4B1; 2College of Engineering, University of Saskatchewan, 57 Campus Dr, Saskatoon, SK S7N 5A9; 3AAFC, 107 Science Pl, Saskatoon, SK S7S 1H1; 4AAFC, 2701 Grand Valley Rd, Brandon, MB R7C 1A1; 5AAFC, 101 Rte 100 #100, Morden, MB R6M 1Y5 | ||