The Boxwood Blight Insight Group (BBIG) invites horticulturists, researchers, and plant enthusiasts to join a webinar titled, “In the Lab and the Landscape at the National Arboretum: Boxwood Genomics and AI Solutions for Blight Detection and Protection.” The webinar will take place on Jan. 31, 2024, and offers an exploration of the latest boxwood research from the National Arboretum, with a focus on the intersection of boxwood breeding, genomics, and machine learning.
Participation in the webinar is free, but registration is required. Attendees can expect to learn more about:
- Cutting-edge Genomics Research: Learn about the latest developments in boxwood genomics and breeding strategies aimed at identifying genetic resistance to boxwood blight. Gain insights into current methodologies and breakthroughs at the National Arboretum.
- AI Solutions for Blight Detection: Discover how artificial intelligence (AI) is enhancing the detection and protection of boxwood in both laboratory settings and natural landscapes. The seminar will showcase innovative AI methods for recognizing and combatting boxwood blight, presenting a glimpse into the future of plant disease management.
- Engaging Presentation: Attendees will have the opportunity to ask questions fostering a collaborative environment for learning and idea exchange.
- Gain insights into the cutting-edge research at the National Arboretum.
- Explore the intersection of genomics and AI in the context of boxwood blight.
- Stay informed about the latest advancements in plant disease detection and protection.
The presenter is Dr. Fred Gouker, Plant Geneticist with the USDA-ARS U.S. National Arboretum’s Floral and Nursery Plants Research Unit. Gouker serves as a BBIG Co-Project Director and Plant Geneticist/Breeder with USDA-ARS, U.S. National Arboretum, Floral and Nursery Plants Research Unit in Beltsville, MD. His research program focuses on the development of improved woody ornamental landscape plants with superior ornamental value and tolerance to abiotic and biotic stress.
Register for the webinar here.
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