22 citations · 22 across the 3 of their papers we have counts for
3 papers · 1 filter
Semi-Supervised Weed Detection for Rapid Deployment and Enhanced Efficiency
Alzayat Saleh, Alex Olsen, Jake Wood +2
Weeds present a significant challenge in agriculture, causing yield loss and requiring expensive control measures. Automatic weed detection using computer vision and deep learning…
FieldNet: Efficient Real-Time Shadow Removal for Enhanced Vision in Field Robotics
Alzayat Saleh, Alex Olsen, Jake Wood +2
Shadows significantly hinder computer vision tasks in outdoor environments, particularly in field robotics, where varying lighting conditions complicate object detection and locali…
Precision Robotic Spot-Spraying: Reducing Herbicide Use and Enhancing Environmental Outcomes in Sugarcane
Mostafa Rahimi Azghadi, Alex Olsen, Jake Wood +5
Precise robotic weed control plays an essential role in precision agriculture. It can help significantly reduce the environmental impact of herbicides while reducing weed managemen…