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View article: Spatio-Temporal 4D Phenotyping for Automated Morphological Genotype Differentiation of Sugar Beet
Spatio-Temporal 4D Phenotyping for Automated Morphological Genotype Differentiation of Sugar Beet Open
3D models are used in plant phenotyping for non-destructive quantification and analysis of morphological characteristics. Analyzing plant structure allows breeders to select for desirable traits, associated with e.g. drought tolerance or i…
View article: Spatio-Temporal 4D Phenotyping for Automated Morphological Genotype Differentiation of Sugar Beet
Spatio-Temporal 4D Phenotyping for Automated Morphological Genotype Differentiation of Sugar Beet Open
3D models are used in plant phenotyping for non-destructive quantification and analysis of morphological characteristics. Analyzing plant structure allows breeders to select for desirable traits, associated with e.g. drought tolerance or i…
View article: Efficient LiDAR Bundle Adjustment for Multi-Scan Alignment Utilizing Continuous-Time Trajectories
Efficient LiDAR Bundle Adjustment for Multi-Scan Alignment Utilizing Continuous-Time Trajectories Open
Constructing precise global maps is a key task in robotics and is required for localization, surveying, monitoring, or constructing digital twins. To build accurate maps, data from mobile 3D LiDAR sensors is often used. Mapping requires co…
View article: A Dataset and Benchmark for Shape Completion of Fruits for Agricultural Robotics
A Dataset and Benchmark for Shape Completion of Fruits for Agricultural Robotics Open
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 agricultural sector. Autonomous robotic systems are one promis…
View article: A 3D printed plant model for accurate and reliable 3D plant phenotyping
A 3D printed plant model for accurate and reliable 3D plant phenotyping Open
Background This study addresses the importance of precise referencing in 3-dimensional (3D) plant phenotyping, which is crucial for advancing plant breeding and improving crop production. Traditionally, reference data in plant phenotyping …
View article: BonnBeetClouds3D: A Dataset Towards Point Cloud-based Organ-level Phenotyping of Sugar Beet Plants under Field Conditions
BonnBeetClouds3D: A Dataset Towards Point Cloud-based Organ-level Phenotyping of Sugar Beet Plants under Field Conditions Open
Agricultural production is facing severe challenges in the next decades induced by climate change and the need for sustainability, reducing its impact on the environment. Advancements in field management through non-chemical weeding by rob…
View article: PhenoBench -- A Large Dataset and Benchmarks for Semantic Image Interpretation in the Agricultural Domain
PhenoBench -- A Large Dataset and Benchmarks for Semantic Image Interpretation in the Agricultural Domain Open
The production of food, feed, fiber, and fuel is a key task of agriculture, which has to cope with many challenges in the upcoming decades, e.g., a higher demand, climate change, lack of workers, and the availability of arable land. Vision…
View article: Constructing Metric-Semantic Maps using Floor Plan Priors for Long-Term Indoor Localization
Constructing Metric-Semantic Maps using Floor Plan Priors for Long-Term Indoor Localization Open
Object-based maps are relevant for scene understanding since they integrate geometric and semantic information of the environment, allowing autonomous robots to robustly localize and interact with on objects. In this paper, we address the …
View article: Panoptic Mapping with Fruit Completion and Pose Estimation for Horticultural Robots
Panoptic Mapping with Fruit Completion and Pose Estimation for Horticultural Robots Open
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 in agriculture ranging from autonomous harvesting to precise…
View article: UAV-Based Classification of Cercospora Leaf Spot Using RGB Images
UAV-Based Classification of Cercospora Leaf Spot Using RGB Images Open
Plant diseases can impact crop yield. Thus, the detection of plant diseases using sensors that can be mounted on aerial vehicles is in the interest of farmers to support decision-making in integrated pest management and to breeders for sel…