Rate My Professor Glen Rains

Rains specializes in applying engineering science to precision agriculture and insect ecology, developing sensor technologies for detecting plant pathogens and pests via volatile compounds, monitoring changes in invertebrate foraging behavior, and advancing sustainable management practices. Notable efforts include testing apparatuses for volatile emissions from stressed plants, nano-biosensors for pre-symptomatic pathogen detection in collaboration with engineering colleagues, precision sensors for pest management, and autonomous vehicles such as the Remote Control Electric Field Rover for crop condition sensing and operations. Key publications encompass "4D Crop Monitoring: Spatio-Temporal Reconstruction for Agriculture" (Dong et al., 2017), "An Extensive Review of Mobile Agricultural Robotics for Field Operations: Focus on Cotton Harvesting" (Fue et al., 2020), "Shortwave Infrared Hyperspectral Imaging for Detecting Sour Skin (Burkholderia cepacia)-Infected Onions" (Wang et al., 2012), "Using Insect Sniffing Devices for Detection" (Rains et al., 2008), and "Nitrogen and Water Affect Direct and Indirect Plant Systemic Induced Defense in Cotton" (Olson et al., 2009). His research has garnered over 3,300 citations on Google Scholar. Rains co-directs the Georgia AgrAbility project, supporting farmers with disabilities through assistive technologies.