266 citations · 489 across the 24 of their papers we have counts for
27 papers
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…
Panoptic One-Click Segmentation: Applied to Agricultural Data
Patrick Zimmer, Michael Halstead, Chris McCool
In weed control, precision agriculture can help to greatly reduce the use of herbicides, resulting in both economical and ecological benefits. A key element is the ability to locat…
Panoptic Mapping with Fruit Completion and Pose Estimation for Horticultural Robots
Yue Pan, Federico Magistri, Thomas Läbe +5
Monitoring plants and fruits at high resolution play a key role in the future of agriculture. Accurate 3D information can pave the way to a diverse number of robotic applications i…
Explicitly incorporating spatial information to recurrent networks for agriculture
Claus Smitt, Michael Halstead, Alireza Ahmadi +1
In agriculture, the majority of vision systems perform still image classification. Yet, recent work has highlighted the potential of spatial and temporal cues as a rich source of i…
Towards Autonomous Visual Navigation in Arable Fields
Alireza Ahmadi, Michael Halstead, Chris McCool
Autonomous navigation of a robot in agricultural fields is essential for every task from crop monitoring to weed management and fertilizer application. Many current approaches rely…
Combining Local and Global Viewpoint Planning for Fruit Coverage
Tobias Zaenker, Chris Lehnert, Chris McCool +1
Obtaining 3D sensor data of complete plants or plant parts (e.g., the crop or fruit) is difficult due to their complex structure and a high degree of occlusion. However, especially…