Improving and Expanding the Reach of the Oregon Pest Monitoring Network: A Real-Time Interactive Data Dashboard
BudgetBot: Applying Artificial Intelligence and Natural Language Processing Applications to Agricultural Extension
LONG-TERM GOAL To help farms reduce crop loss and exposure to pesti- cides by making data-informed decisions about pest management in the Pacific Northwest PROJECT CONTEXT According to USDA-NIFA and the Food and Agricul- ture Organization of the United Nations, up to 40% of global crop production is lost to pests every year: “Plant diseases cost the global economy around $220 billion, and invasive insects around $70 billion. Weeds are another significant biotic constraint on global food production.” GOALS FOR NTAE GRANT PERIOD • Expand the Oregon Pest Monitoring Network (OPMN), a centralized digital dashboard offering real-time pest reports, mapped data visualizations, and a standardized reporting format—adding new crops and integrating new features such as email alerts, historical trends, an improved “submit-a-pest” function, interpretive posts highlighting risks and treatment options for various pests of concern, and predictive phenology models from USpest.org. • Recruit additional Extension professionals, commod- ity groups, and growers to submit detections to the OPMN. • Train Extension professionals and other stakeholders to access and interpret the dashboard.
LONG-TERM GOAL To make using artificial intelligence for farm budgeting and data-driven decisions easier for and more accessi- ble to producers PROJECT CONTEXT Farm and ranch operations increasingly rely on auto- mation to prescribe and perform tasks through remote sensing imagery, “big data,” and AI-based machine learning algorithms, so it’s critical to bridge digital divides that exist for some farmers and provide valuable farm management tools that farmers are willing and able to use. GOALS FOR NTAE GRANT PERIOD • Create a working farm budget chatbot—by enhanc- ing the math capabilities of ExtensionBot—that can answer questions and use mathematical reasoning in response to queries from agricultural producers. • Use existing farm budget spreadsheets from various Extension services, such as Oklahoma State and New Mexico State, to increase the accessibility and utility of existing Land-grant publications and enter- prise budget databases.
TEAM LEADS Jessica Green, MS Senior Research Assistant Oregon State University Seth Dorman, PhD Research Entomologist USDA-ARS Forage Seed and Cereal Research Unit
TEAM LEAD Jeffrey Vitale, PhD Associate Professor Oklahoma State University
David Warren, MBA Artificial Intelligence Program Leader Extension Foundation/ Oklahoma State University
Ebba Peterson, PhD Integrated Pest Management Educator Oregon State University
MENTOR Karly Black, MS University of Nebraska-Lincoln
CATALYSTS Rick Klemme, PhD Scott Reed, PhD
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2023-2024 YEARBOOK | EXTENSION FOUNDATION/NTAE
EXTENSION FOUNDATION/NTAE | 2023-2024 YEARBOOK
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