MO-SS.1A.5
Identifying Climate Anomalies with Simulated Antenna Data, Sensor Arrays, and Spiking Neural Networks
Soukaina El Maachi, Rachid Saadane, Hassania School of Public Works, Morocco; Abdellah Chehri, Royal Military College of Canada, Canada
Session:
Advancing Sustainable Agriculture with Electromagnetic Innovations Oral
Track:
Special Sessions
Location:
Room 206
Session Time:
Mon, 14 Jul, 08:00 - 09:40
Presentation Time:
Mon, 14 Jul, 09:20 - 09:40
Session Co-Chairs:
Zahra Abbasi, University of Calgary and Abdellah Chehri, Royal Military College of Canada
Presentation
Discussion
Session MO-SS.1A
MO-SS.1A.1: Performance Analysis of Long-Range Propagation Above 1 GHz for LoRa Applications in Agriculture
Elena Filipescu, Fabio Scatozza, Giovanni Paolo Colucci, Corrado Puligheddu, Carla Fabiana Chiasserini, Daniele Trinchero, Politecnico di Torino, Italy
MO-SS.1A.2: SRR-Based Disposable Microwave-Microfluidic Sensor for Assessing Liquid Carrier Influence on Microplastic Detection
Maziar ShafieiDarabi, University of Waterloo, Canada; Amirhossein YazdaniCherati, Zahra Abbasi, University of Calgary, Canada; Carolyn Ren, University of Waterloo, Canada
MO-SS.1A.3: Eco-Friendly Ground Planes for Wireless Devices Using Antenna Booster Technology
Jaume Anguera, Ignion, Spain; Gerard Massana, Inés Ripoll, Universitat Ramon Llull, Spain; Aurora Andújar, Ignion, Spain; Joan Pijoan, Universitat Ramon Llull, Spain
MO-SS.1A.4: A Sensitivity Enhanced Coupled Microwave Sensor for Nitrogen Concentration Monitoring in Precision Agriculture
Mehri Ziaee Bideskan, Nima Karbaschi, University of Calgary, Canada; Hailey Poole, Livestock Water Recycling, Canada; Zahra Abbasi, University of calgary, Canada
MO-SS.1A.5: Identifying Climate Anomalies with Simulated Antenna Data, Sensor Arrays, and Spiking Neural Networks
Soukaina El Maachi, Rachid Saadane, Hassania School of Public Works, Morocco; Abdellah Chehri, Royal Military College of Canada, Canada
Resources
No resources available.