Results 191 to 200 of about 2,792,973 (280)
Osiris<sup>++</sup>: hierarchical representations for robotic-enabled precision agriculture. [PDF]
Mukuddem A +6 more
europepmc +1 more source
Turiasaurian teeth from Angeac‐Charente exhibit five dental morphotypes and reveal clear heterodonty and anteroposterior size gradient. Qualitative comparative anatomy quickly and efficiently identifies morphotypes, while 3D geometric morphometrics combined with machine learning refine ambiguous cases, demonstrating that qualitative and quantitative ...
Clémence Le Gouellec +7 more
wiley +1 more source
Zero-Shot 3D Object Classification via Graph-Based Local Geometric Features and Depth-Aware Multi-View Projection. [PDF]
He W, Liu Y, Zhao H, Shi Y.
europepmc +1 more source
Perceptual Priors Update Contextual Feedback Processing in V1
Abstract Contextual information and prior knowledge facilitate perceptual processing, improving our recognition of even distorted or obstructed visual inputs. As a result, neuronal processing elicited by identical sensory inputs varies depending on the context in which we encounter those inputs.
Yulia Y. Lazarova +3 more
wiley +1 more source
An AR 3D Tracking and Registration Method That Integrates Optical Flow Tracking and Mean Shift. [PDF]
Yong J, Lei X, Dang J.
europepmc +1 more source
Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities
Abstract Artificial intelligence (AI), a key driver of the Fourth Industrial Revolution, is being rapidly integrated into plant phenomics to automate sensing, accelerate data analysis, and support decision‐making in phenomic prediction and genomic selection.
Xu Wang +12 more
wiley +1 more source
DA-Transformer: Building Damage Assessment Under Complex Changing Conditions Through Multimodal UAV Data. [PDF]
Yang Z, Xu Y, Xu Q, Yu K, Song H.
europepmc +1 more source
Abstract An agronomic trait such as stand count is important for cultivar development and crop management practices. Manually counting the number of plants is time consuming, labor‐intensive, and prone to error. The use of unoccupied aerial systems (UAS)‐collected red, green, blue (RGB) imagery in conjunction with advanced deep learning and image ...
Aliasghar Bazrafkan +1 more
wiley +1 more source
HSG-ON: Hierarchical Scene Graph-Based Object Navigation. [PDF]
Kwon S, Jang HD, Chang DE.
europepmc +1 more source
Abstract Multispectral three‐dimensional (3D) imaging offers substantial potential for plant phenotyping, yet manual segmentation of plant organs remains a bottleneck in breeding programs. We developed a color‐based filtering workflow for faba bean (Vicia faba L.) point clouds that optimizes lower and upper thresholds of spectral indices and broadband ...
Lennart Scheer +6 more
wiley +1 more source

