531 citations · 731 across the 14 of their papers we have counts for
14 papers
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…
WeedCLR: Weed Contrastive Learning through Visual Representations with Class-Optimized Loss in Long-Tailed Datasets
Alzayat Saleh, Alex Olsen, Jake Wood +2
Image classification is a crucial task in modern weed management and crop intervention technologies. However, the limited size, diversity, and balance of existing weed datasets hin…
Analysis of a generalised Boltzmann equation for anomalous diffusion under time-dependent fields
Alex D. C. Myhill, Peter W. Stokes, Bronson Philippa +1
The generalised Boltzmann equation which treats the combined localised and delocalised nature of transport present in certain materials is extended to accommodate time-dependent fi…
A Survey of Asynchronous Programming Using Coroutines in the Internet of Things and Embedded Systems
Bruce Belson, Jason Holdsworth, Wei Xiang +1
Many Internet of Things and embedded projects are event-driven, and therefore require asynchronous and concurrent programming. Current proposals for C++20 suggest that coroutines w…