CAST papers are developed by interdisciplinary task forces composed of volunteer authors, chairs, reviewers, liaisons, and translators from academia, industry, and government. This index recognizes those contributors and highlights the breadth of expertise that supports CAST’s work.

Viacheslav Adamchuk

Affiliation
McGill University
Title/Position
Professor; Departmental Chair | Precision Agriculture and Sensor Systems
Expertise
Precision agriculture systems; Soil and plant sensing technologies; Proximal soil sensing and sensor fusion; Digital and data-driven farming systems; Spatial variability analysis and site-specific management; Agricultural electronics and automation; Decision support for precision input management
Bio

Viacheslav Adamchuk is Professor and Chair of the Department of Bioresource Engineering at McGill University, with an adjunct appointment in the Department of Biological Systems Engineering at the University of Nebraska–Lincoln. Trained as a mechanical and agricultural engineer, his work focuses on the development and deployment of soil- and plant-sensing technologies that enable precision agriculture and site-specific management. Dr. Adamchuk leads the Precision Agriculture and Sensor Systems (PASS) research team, which designs proximal sensor platforms to measure physical, chemical, and biological soil attributes directly in the field and generate georeferenced data for differentiated management decisions. A globally recognized leader in digital farming systems, he has contributed extensively to standards development, scholarly publishing, and international outreach on the adoption of precision agriculture technologies.

Publications as Author
CAST_Precision Irrigation Management
This report examines the principles, technologies, and applications of precision irrigation across gravity, sprinkler, and microirrigation systems. It reviews variable rate irrigation, soil- and plant-based sensing, evapotranspiration monitoring, irrigation scheduling tools, and complementary technologies such as fertigation and data-driven decision support systems.