Agriculture Technology Adoption in Canadian Prairies: Insights from the Census Data
This presentation explores into the adoption of agricultural technology in the Canadian Prairies, leveraging comprehensive data from the 2016 and 2021 Canadian Agriculture Census. It examines farm types, sizes, and technology preferences, emphasizing the 2021 demographic profile of farm operators. Through these datasets, it uncovers insights on farmer numbers, geographic spread, acreage, and tech integration, underlining the importance of evidence-based analysis. With an 80 percent response rate, it showcases the reliability of Statistics Canada’s questionnaire design. This exploration furnishes crucial insights for informed decision-making, crucial for the ongoing progress of the Canadian Prairies’ agricultural landscape.
CEU Credit: 0.5
Tahmid Huq Easher, Ph.D. is a faculty member at Olds College, bringing over 11 years of diverse experience in agriculture-focused soil and water management research across academia, government institutions, and NGOs in Bangladesh and Canada. He holds a PhD from the University of Guelph and a MSc from McGill University. His primary research focus lies in leveraging machine learning for data analysis to predict soil property information, enhancing our understanding of soil dynamics. He aims to build a collaborative platform that brings together modelers, researchers, practitioners, policymakers, private sectors, and communities. This platform will serve as a catalyst for developing precision farming practices in the Canadian prairies, incorporating ideas, practices, and strategies while integrating community practices and indigenous knowledge into data-driven agricultural modeling approaches.
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Tent 3
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Tahmid Huq Easher, Ph.D., Olds College of Agriculture & Technology
