8 citations · 14 across the 11 of their papers we have counts for
12 papers
DropClick: Semi-Automated One-Click Segmentation for Agricultural Robotic Data
Patrick Zimmer, Michael Halstead, Chris McCool
Labelling vision datasets, especially for segmentation tasks, is a laborious and costly process that stymies novel developments in agricultural robotics. In this paper, we present…
Still image and spatial-temporal tomato data enabling detection, segmentation, tracking, and video-instance segmentation using strong and weak labels
Michael Halstead, Esra Guclu, Mohamed Farag +7
In this manuscript we release two datasets for visual sensing of tomato plants grown in commercial-like settings and acquired using a robot. The first is BUTom21 which consists of…
A Dataset and Benchmark for Shape Completion of Fruits for Agricultural Robotics
Federico Magistri, Thomas Läbe, Elias Marks +9
As the world population is expected to reach 10 billion by 2050, our agricultural production system needs to double its productivity despite a decline of human workforce in the agr…
BonnBot-I Plus: A Bio-diversity Aware Precise Weed Management Robotic Platform
Alireza Ahmadi, Michael Halstead, Claus Smitt +1
In this article, we focus on the critical tasks of plant protection in arable farms, addressing a modern challenge in agriculture: integrating ecological considerations into the op…
PAg-NeRF: Towards fast and efficient end-to-end panoptic 3D representations for agricultural robotics
Claus Smitt, Michael Halstead, Patrick Zimmer +4
Precise scene understanding is key for most robot monitoring and intervention tasks in agriculture. In this work we present PAg-NeRF which is a novel NeRF-based system that enables…
BonnBot-I: A Precise Weed Management and Crop Monitoring Platform
Alireza Ahmadi, Michael Halstead, Chris McCool
Cultivation and weeding are two of the primary tasks performed by farmers today. A recent challenge for weeding is the desire to reduce herbicide and pesticide treatments while mai…