January 10, 2017 at 7:00pm
Dr Daniel Silver will review a series of projects undertaken by the Acadia Institute for Data Analytics . These amazing projects can estimate crop yield from smart phone images, do solar energy forecasting, manage building energy, determine stream flow rate and aquifer recharge prediction, sales forecasting, and classifying objects in UAV agriculture field images. Many of these problems utilize high resolution observed and forecasted weather, high definition and multi-spectral digital images, and 5 minute through 60 minute data flow rates.
Rural Canada feeds our nation literally, economically, and environmentally. It provides the food, fiber, minerals, water and other bio-resources and natural resources on which our country depends and the arteries of transportation by which they are delivered. Digital technologies and data analytics can help us shape how we work with these resources and their impact on our local communities and our planet. Mission To advance knowledge in data analytics through collaborative and interdisciplinary research, education and outreach and to foster the ethical application and commercialization of data analytic solutions to challenges facing industry, government and society in rural Canada.
Dr. Daniel L. Silver is the Director of the Acadia Institute for Data Analytics . He is also a Professor in and currently the Acting-Director of the Jodrey School of Computer Science at Acadia University. His areas of research and application are machine learning, data mining, and data analytics. His expertise is in Lifelong Machine Learning and Transfer Learning. He has published over 65 scientific papers and has co-chaired or been part of program committees for a number of national and international conferences, seminars and workshops on data mining and machine learning.
I make stuff happen at Agile*, an independent geoscience idea factory in Canada. We build awesome knowledge engines for organizations (mostly wikis), and we hone our skills in subsurface science… We have most recently been working on geothermal reservoir description. I’ve worked the Montney tight gas of Alberta and BC, frontier exploration in the Canadian Beaufort Sea, the Athabasca oil sands, the Norwegian North Sea. I also worked in software for several years, as an advocate of integrated volume visualization and interpretation and viz room pilot.
PrecisionHawk is the leading provider of aerial data and safety platforms for drones. The Lancaster is PrecisionHawk’s fixed-wing, autonomous drone built to collect the highest quality terrestrial data using a host of integrated sensors including visual, thermal, LiDAR, multispectral and hyperspectral. PrecisionHawk houses three divisions that support its mission: DataMapper aerial mapping and analysis software, TerraServer satellite imagery and LATAS (Low Altitude Traffic and Airspace Safety).