Machine learning vision for insect monitoring and site-specific management

Speaker

Ivan Grijalva is an Assistant Professor of Precision Agriculture in the Department of Entomology at Louisiana State University. He earned his Ph.D. in Entomology from Kansas State University, with a focus on Precision Pest Management and Digital Agriculture. He also holds a Geographic Information Systems (GIS) and Remote Sensing certification. His research interests include Machine Learning, GIS, and Remote Sensing, with a particular emphasis on applying machine learning models for detecting insects, weeds, and diseases for use in digital agricultural tools and robotics that enhance precision pest management. Ivan is also interested in using GIS-based remote sensing for pest detection and conservation to facilitate management at both local and landscape levels. He has published multiple research articles in various journals, particularly highlighting the use of machine learning for automating object detection, contributing significantly to the advancement of automation across diverse disciplines.

Cornell IPM Academic Seminars

This event is part of the Cornell Integrated Pest Management academic seminar series which is designed to increase awareness of new research and techniques that advance Integrated Pest Management (IPM) and its adoption in all types of pest management settings.