| Adamchuk, Viacheslav Bouroubi, Yacine Bullock, David Cambouris, Athyna Cammarano, Davide Caron, Jean Cohen, Yafit Cook, Simon Escolà, Alexandre Ferreyra, R. Andres Griffin, Terry Hodge, Kim |
Hunt, Raymond Kablan, Lucie Khosla, Raj Khun, Kosa Lacroix, René Longchamps, Louis Maxwell, Bruce Melnitchouck, Alex Miao, Yuxin Morris, Tom Moulin, Alan Mulla, David |
Oliver, Margaret Parent, Serge-Étienne Pomar, Candido Rutter, Mark Shang, Jiali Shockley, Jordan Sudduth, Ken Taylor, James Vigneault, Philippe Walsh, Olga Whelan, Brett Yule, Ian |
Chris Paterson
Chris Paterson leads the Bayer CropScience Digital Farming initiative (XARVIO.com) in North America, and resides in Calgary, Alberta. Chris has been involved with agronomy and agribusiness across North America for 25 years, and for the past 10 years has been directly involved with the development of business applications around emerging technologies that generate, or consume farm data. The Digital Farming team that Chris leads has technical competencies in agronomy, data science, IT, and precision Ag technologies. Together with colleagues from South America and Europe, the team has been able to rapidly evolve from recruitment of the right people, to raw ideation and conceptualizing, through product development and ground truthing, to full commercialization and revenue generation in 3 years. Because Bayer Digital Farming has an approach to the market that focuses on collaboration with other companies, his team has involvement with a broad spectrum of companies and technologies including farm data management platforms, equipment sensors, weather and imagery sensors, robotics, artificial intelligence, wireless mobile connectivity, etc. Chris will introduce some trends that are driving (or preventing) adoption of precision ag and farm data technologies on North American farms, show some potentially disruptive technologies to watch for, and reveal where Bayer Digital Farming thinks their opportunity is emerging.
Yoshua Bengio

Know a graduate student or outstanding scientist? Nominate them for the ISPA Outstanding Graduate Student Award or the ISPA Pierre C. Robert Precision Agriculture Award. Nomination submissions are due 16 APRIL 2024.
The hard part of transitioning to data-driven decisions isn’t when the data supports what you already believe to be true. The difficult part is when the data analysis challenges what we think we already know.
The Global Soil Partnership (GSP) and the Intergovernmental Technical Panel on Soils (ITPS) launched a global endeavor to develop the Global Soil Organic Carbon map (GSOCmap) using a country-driven approach as part of the Global Soil Information System (GLOSIS). GSP provided technical support and on-the-job training to most countries to produce national SOC maps according to standardized specifications. The Global Soil Organic Carbon map V1.0 is an important stepping stone to better know the current Soil Organic Carbon stock stored beneath our feet and soils’ potential for further sequestration. The data are also available as Geotiff.
Precision Agriculture Definition
Precision Agriculture is a management strategy that gathers, processes and analyzes temporal, spatial and individual plant and animal data and combines it with other information to support management decisions according to estimated variability for improved resource use efficiency, productivity, quality, profitability and sustainability of agricultural production.
The International Society of Precision Agriculture (ISPA) is a non-profit professional scientific organization.
The mission of ISPA is to advance the science of precision agriculture globally.
Contact newsletter@ispag.org to suggest content for future newsletters or visit www.ispag.org for more about the Society
