
Harnessing AI and Deep Learning
The Fortuin Lab is involved in several collaborative projects to integrate AI and Deep Learning into forest insect research:
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We are developing non-lethal sampling methods to enhance pollinator conservation using various AI techniques, in collaboration with engineers and scientists at Kansas State University, University of Arkansas, University of Massachusetts, Waerehauser Company and the National Council for Air and Stream Improvement (NCASI),
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In collaboration with the Sustainable Bio-products Department and the Industrial Engineering Department, we are working with undergraduate interns to develop a visual AI program to identify forest pests
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In collaboration with movement ecologists in the Wildlife Department, we are developing research to quantify the impacts of imidacloprid exposure on movement, foraging and fecundity in solitary bees, utilizing video tracking and deep-learning methods.