HyperLayer concept: next generation of predictive analytics in agriculture
This presentation will cover the HyperLayer project – collection of various geospatial data, such as satellite imagery, yield, plant and soil data, which are used to build next generations of predictive algorithms for agriculture. These predictive algorithms are being developed for many key field characteristics, including plant available nutrients, grain yield, and others.
CEU Credits: 0.5
Bio: Dr. Alex Melnitchouck, Olds College
Alex Melnitchouck is the Chief Technology Officer, Digital Agriculture at Olds College. He holds his Ph.D. in Agricultural Sciences, and second Master’s Degree in Soils and Environmental Sciences, backed up by 25 years of work experience at the international level, including precision Ag projects in Canada, USA, Germany, Switzerland, Brazil, Australia, Russia, Ukraine, and Belarus. He is a member of Alberta Institute of Agrologists in Canada (P.Ag.) and an author of more than 50 publications in scientific journals and proceedings of conferences.
In 2012, Alex founded IntelMax Corp. and created Zoner.Ag – a web platform for managing and analyzing geospatial data. In 2015, Zoner.Ag was acquired by Bayer CropScience to become a geospatial engine for the new Digital Farming Platform (currently known as Xarvio and owned by BASF).
Alex leads Olds College’s Digital Ag strategy and the development of the Digital Ag Platform at the Olds College Smart Farm – a 3,500-acre, technology enabled applied research and learning environment.