BS (National Agricultural Univ. of Ukraine)
MS, PhD (Purdue Univ.)
Short Bio
Originally from Kyiv, Ukraine, Dr. Adamchuk obtained a mechanical engineering degree from the National Agricultural University of Ukraine (currently National University of Life and Environmental Sciences of Ukraine), located in his hometown. Later, he received both MS and PhD degrees in Agricultural and Biological Engineering from Purdue University (USA). In 2000, Dr. Adamchuk began his academic career as a faculty member in the Department of Biological Systems Engineering at the University of Nebraska-Lincoln (USA). Ten years later, he assumed his current position in the Department of Bioresource Engineering at 黑料社 (Canada), while retaining his adjunct status at the University of Nebraska-Lincoln. Currently, he serves as the Chair of the Bioresource Engineering Department. In addition, he is Canada鈥檚 representative to the International Society of Precision Agriculture.
Awards and Recognitions
CSBE/SCGAB Glen Downing Award for outstanding work in industry, teaching, research, or extension in the area of machinery systems, or bioenergy systems, 2019
ASABE Standard Development Award for ASABE/ISO 12188-2:2012 "Positioning and Guidance in Agriculture - Part 2: Testing satellite-based auto-guidance systems" standard, 2016
Susan J. Rosowski Professorship in recognition of distinguished scholarship and creative activity, University of Nebraska-Lincoln, 2009-2010
Pierre C. Robert Precision Agriculture Young Scientist Award, Ninth International Conference on Precision Agriculture, Denver, Colorado, 2008
Active Affiliations
Adjunct Associate Professor, Department of Biological Systems Engineering, University of Nebraska-Lincoln, Lincoln, Nebraska, 2010-2025
Associate Member of the Center for Intelligent Machines (CIM) at 黑料社, 2015-present
International Commission of Agricultural and Biosystems Engineering (CIGR), Section III: Plant Production board member, 2018-2022.
Editorial Board of Computers and Electronics in Agriculture Journal, 2009-present
Editorial Board of Precision Agriculture Journal, 2010-present
Associate Editor of Canadian Biosystems Engineering Journal, 2018-present
Research Interests
Dr. Adamchuk leads a Precision Agriculture and Sensor Systems (PASS) research team that focuses on developing and deploying soil and plant sensing technologies to enhance the economic and environmental benefits of precision agriculture. His team has designed and evaluated a fleet of proximal sensor systems capable of measuring physical, chemical and biological attributes directly in a field. Most sensors produce geo-referenced data to quantify spatial soil/plant heterogeneity, which may be used to prescribe differentiated treatments according to local needs. Through studies on sensor fusion and data clustering, he investigated the challenges faced by early adopters of precision agriculture. Through his outreach activities, Dr. Adamchuk has taught multiple programs dedicated to a systems approach in adopting smart farming technologies around the world.
Current Research
Integrated proximal sensing of soils and crops.
Development of crop quality/quantity estimation methods using UAV imagery.
AI-driven decision support tools for alfalfa鈥檚 winter survival and persistency.
Model development for ground-engaging tools using real-time numerical terramechanics and discrete-element method.
Agricultural multi-layer data fusion to support cloud-based agricultural advisory services.
Toward a more sustainable Macdonald Farm: Assessment and Strategic Planning.
Courses
FMTP 027. Precision Farming (152-027-MC).
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits:1.33
Offered by:Farm Mgmt & Technology Program (Faculty of Agric Environ Sci)
This course is not offered this catalogue year.
Description
Students will be introduced to the basic elements of precision farming, including Global Positioning Systems and yield monitors, soil sampling strategies, remotely sensed data, Geographic Information Systems and variable rate technologies. Using real case studies and common software, students will learn to develop and analyze maps of yields and soil properties, diagnose the causes of yield variability, develop appropriate intervention strategies, and assess the potential cost implications for their farms.
(152-027-MC)
(2-1-1)
Most students use Visual Schedule Builder (VSB) to organize their schedules. VSB helps you plan class schedules, travel time, and more.
BREE 329. Precision Agriculture.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits:3
Offered by:Bioresource Engineering (Faculty of Agric Environ Sci)
Terms Offered:Winter 2026
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Description
The course provides an overview of the principle concepts of precision agriculture. It focuses on equipment, software and the information management systems for mastering the essential steps when adopting and developing economically viable and environmentally sound solutions for modern farms and other agribusiness
enterprises.
Prerequisites: AEBI 210, PLNT 300, or equivalent approved by the instructor.
Not open to students who have taken FMT4 027
Most students use Visual Schedule Builder (VSB) to organize their schedules. VSB helps you plan class schedules, travel time, and more.
BREE 504. Instrumentation and Control.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits:3
Offered by:Bioresource Engineering (Faculty of Agric Environ Sci)
Terms Offered:Fall 2025
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Description
An overview of instrumentation and control systems used in bioresource engineering. Hands-on development of data acquisition systems and learning strategies to process and interpret the signal obtained constitute the majority of the course.
Restriction: Not open to students who have taken ABEN 504.
3 lecture hours and one 2-hour lab per week during Fall term every year
Prerequisites: BREE 252 and BREE 312 or equivalents.
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BREE 529. GIS for Natural Resource Management.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits:3
Offered by:Bioresource Engineering (Faculty of Agric Environ Sci)
Terms Offered:Fall 2025
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Description
Applications of Geographic Information Systems (GIS) and spatial analysis techniques to the presentation and analysis of ecological information, including sources and capture of spatial data; characterizing, transforming, displaying spatial data; and spatial analysis to solve resource management problems.
Prerequisite(s): At least one environmental science course and one ecology course or permission of instructor
Restriction(s): U2 students and above. Not open to students who have taken GEOG 201, GEOG 306, GEOG 307, ENVB/BREE 430, or ENVB 529. Limited to 32 students.
Fall
Most students use Visual Schedule Builder (VSB) to organize their schedules. VSB helps you plan class schedules, travel time, and more.
ENVB 529. GIS for Natural Resource Management.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits:3
Offered by:Natural Resource Sciences (Faculty of Agric Environ Sci)
Terms Offered:Fall 2025
View offerings for in Visual Schedule Builder.
Description
Applications of Geographic Information Systems (GIS) and spatial analysis techniques to the presentation and analysis of ecological information, including sources and capture of spatial data; characterizing, transforming, displaying spatial data; and spatial analysis to solve resource management problems.
Prerequisite(s): At least one environmental science course and one ecology course or permission of instructor
Restriction(s): U2 students and above. Not open to students who have taken GEOG 201, GEOG 306 or GEOG 307, ENVB/BREE 430, or BREE 529. Limited to 32 students.
Fall
Most students use Visual Schedule Builder (VSB) to organize their schedules. VSB helps you plan class schedules, travel time, and more.
Publications
Patents
Adamchuk, V., A. Biswas, L. Qi, M. Lecler, B. Sudarsan, and W. Ji. 2019. Apparatus for analyzing a sample of granular material. Canadian Patent Application No. 3,003,118, United States Patent No. 10,495,568.
Adamchuk, V.I., A. Pouliot, and T. Stanhope. 2019. Steering wheel adapter for agricultural vehicle vision guidance system. United States Design Patent No. D863,367, Canadian Industrial Design Patent No. 163,371, European Industrial Design Patent EP002938100.
Adamchuk, V.I., A. Pouliot, and T. Stanhope. 2018. Guidance system and steering control device for an agricultural vehicle. United States Patent No. 10,104,827.
Adamchuk, V.I., N. Dhawale, F. Rene-Laforest, S. Prasher, and A. Pouliot. 2016. Soil analysis apparatus, method, and system having a displaceable blade assembly and sensor. US Patent No. 9,389,214.
Adamchuk, V.I., A.V. Skotnikov, and J.D. Speichinger. 2006. Instrumented deep tillage implement. US Patent No. 7,028,554, Canadian Patent No. 2,473,368.
Adamchuk V.I., M.T. Morgan, and D.R. Ess. 2002. System and method for automated measurement of soil pH. US Patent No. 6,356,830.
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