Experience — Wilfried DOSSOU-YOVO

Experiences

Teach undergraduate courses in precision agriculture, GIS, GPS, ag data analytics, agricultural economics, statistics, and machine learning.
Equip students with practical skills in spatial analysis, economic reasoning, and data-driven decision-making using real-world agricultural datasets.
Lead applied research focused on nutrient optimization, compositional data analysis, and precision agronomy across Canadian Prairie cropping systems.
Design and implement field trials integrating digital tools, remote sensing, and statistical modeling to improve crop performance and sustainability.
Utilize R, Python, QGIS, and satellite imagery to support zone-specific fertilizer recommendations and sustainable land management.
Collaborate with growers, research institutions, and industry partners to co-develop scalable, data-driven innovations for efficient and resilient crop production.
Author and co-author peer-reviewed publications and research reports, contributing to scientific knowledge in precision agriculture, agronomy, and data science.

Led greenhouse gas emission (GHGE) studies, greenhouse trials, and growth chamber experiments to optimize nutrient use efficiency and assess sustainable agricultural practices under both controlled and field conditions.
Conducted advanced agronomic research on micronutrient fertilizers and seed coating technologies, evaluating their effects on early seedling growth, nutrient uptake, crop yield, and GHGE mitigation.
Analyzed and modeled historical crop data (wheat, corn, soybean, canola, and sunflower) using R programming, statistical modeling, and machine learning to support product development and innovation.
Designed experimental protocols, implemented field trials, and ensured rigorous experimental design aligned with scientific standards.
Built predictive models and developed visual analytics tools to translate complex datasets into actionable insights for agronomic decision-making.
Managed cross-functional R&D teams and coordinated task planning to ensure timely and high-quality execution of research projects.
Contributed to data interpretation, scientific reporting, and the development of environmentally responsible, data-driven crop input solutions.

Led the development of a fertilizer dose prediction tool for cranberry production, combining R programming, Shiny apps, and compositional data analysis (CoDA) to support precision nutrient management.
Integrated multi-source data including field observations, soil properties, and environmental variables to model crop response and optimize nutrient efficiency.
Applied advanced machine learning algorithms, including Generalized Additive Models (GAM), Random Forest, XGBoost, Support Vector Machines (SVM), and neural networks, to predict optimal fertilizer rates.
Designed and deployed an interactive web-based decision-support system, delivering site-specific, data-driven recommendations through an intuitive user interface.
Bridged the gap between research and practice by translating complex modeling outputs into actionable agronomic insights for growers.
Contributed to sustainable horticulture by developing a scalable, field-ready tool that enhanced input efficiency and environmental stewardship.

Conducted soil incubation experiments in closed chambers at controlled temperatures (10°C, 20°C, and 30°C) to assess CO₂ emissions and microbial activity.
Prepared and packaged sampling materials, including vials and mason jars, for accurate and sterile CO₂ capture and analysis.
Performed tea bag incubation and harvests for Tea Bag Index (TBI) measurements to assess litter decomposition rates and stabilization.
Determined soil organic matter fractions (cellulose, hemicellulose, soluble substances, lignin, and cutin) using a modified Van Soest method.
Operated the Mastersizer 3000 laser diffraction particle sizer for precise soil texture and particle size distribution analysis.
Conducted statistical analysis and data visualization using various R packages, supporting interpretation of soil and carbon data.

Facilitated educational workshops for students on seed germination, basic nursery management, and plant growth requirements.
Participated in the maintenance, monitoring, and harvesting of tree seedlings in educational and community-based nurseries.
Assisted in the planting of economically and ecologically valuable tree species (black walnut, butternut, and oak) to support reforestation and agroecological resilience.
Delivered youth-focused awareness sessions on systematic hygiene and best practices in crop handling, promoting food safety and community health.
Collaborated with program coordinators and peers in cross-cultural settings, gaining experience in teamwork, leadership, and global citizenship.

Designed and delivered structured mathematics lessons aligned with national curriculum standards for junior and senior secondary students.
Explained mathematical concepts and guided students through exercises and real-world problem-solving activities.
Assessed student learning through grading assignments, quizzes, and exams, and provided individualized feedback to support academic progress.
Participated in staff meetings, curriculum planning sessions, and professional development workshops.
Supported student learning through extra help sessions and exam preparation tutorials.
Collaborated with colleagues and school leadership to implement effective teaching strategies and classroom management practices.

Wilfried DOSSOU-YOVO