Results 191 to 200 of about 2,792,973 (280)

Osiris<sup>++</sup>: hierarchical representations for robotic-enabled precision agriculture. [PDF]

open access: yesFront Robot AI
Mukuddem A   +6 more
europepmc   +1 more source

Heterodonty in the teeth of the turiasaurian sauropod from Angeac‐Charente (Early Cretaceous, southwestern France): Comparison of anatomical and geometric morphometric approaches

open access: yesJournal of Anatomy, EarlyView.
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

Perceptual Priors Update Contextual Feedback Processing in V1

open access: yesTopics in Cognitive Science, EarlyView.
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

Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
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

Pixel‐level supervision resolves overlap: Benchmarking YOLOv12 segmentation for accurate multi‐cluster dry bean stand counting from time series unoccupied aerial systems imagery

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
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

Bayesian optimized color filter: A fast method for segmentation of plant phenotypes from 3D point cloud images

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
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

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