"From Measurement to Management: Building Cost-Effective Precision Disease Management Programs”

When May 15, 2026, 10:00 AM - 12:30 PM

Where Behrend Campus and Lake Erie Region Research and Extension Center (LERGREC)

Abstract: In the region of Pennsylvania, grape and potato growers face significant challenges from fungal pathogens due to a wet, humid climate, along with shifting weather patterns, such as freeze damage and many others. These changes require growers to adapt their disease management strategies. At this junction, while many new materials have emerged to measure, map, and monitor disease at the block level, very few translate into practical, on-farm application. The proposed extension program provides a vital opportunity to bridge that gap, offering transparent, accessible guidance that translates research into climate-adaptive, cost-effective integrated pest management. By consistently measuring, mapping, and monitoring disease at the block level, and dynamically adjusting chemical controls. This talk will highlight practical strategies including consistent disease scouting and rating, seasonally adaptive fungicide programs, and modelling approaches to improve precision disease management.

Bio: Manushi Trivedi is a Postdoctoral Associate in the Section of Plant Pathology and Microbiology at Cornell University, where she also earned her Ph.D. in Horticultural Biology. She holds a Master's degree in Geo-information and Earth Observation Science for Natural Resource Management from ITC, University of Twente, the Netherlands, and a Bachelor's degree in Agricultural Information Technology from Anand Agricultural University, India — a program that uniquely bridged computer science (60%) and agriculture (40%).

She brings a broad international perspective to her research, with hands-on experience across diverse agricultural systems, including table grape production in India, cocoa production in Ghana, and the New York wine and grape industry, where she has been working for the past five years. She has been an active member of several SCRI-funded initiatives, including the High-Resolution Vineyard Nutrition and FRAME projects. Her work has led to the development of efficient field sampling methods such as box sampling, as well as computer vision models for cluster closure assessment, with findings published in viticulture and remote sensing journals.

Zoom: https://psu.zoom.us/j/96881938395?pwd=3L9gK83tzu1iFEbMHJ0IRDIis6T1fb.1