Results 191 to 200 of about 5,351 (266)
Cross-Category Tea Polyphenols Evaluation Model Based on Feature Fusion of Electronic Nose and Hyperspectral Imagery. [PDF]
Yang B +6 more
europepmc +1 more source
ABSTRACT Fruit colour diversity within different ripening stages confers ornamental value for pepper plants. Using images can be helpful in analysing the fruit colour‐related genetic diversity and enable selecting accessions for ornamental purposes by avoiding subjectiveness.
Marcos Bruno da Costa Santos +7 more
wiley +1 more source
A Combined Quantitative Evaluation Model for the Capability of Hyperspectral Imagery for Mineral Mapping. [PDF]
Li N +8 more
europepmc +1 more source
Abstract Background Artificial intelligence (AI) is increasingly gaining attention in the field of periodontology and implant dentistry. Currently developed models can support diagnosis, treatment planning, and maintenance monitoring. However, most of the available literature is based on retrospective and often single‐modality data sets.
Aminollah Khormali +2 more
wiley +1 more source
Variational Pansharpening for Hyperspectral Imagery Constrained by Spectral Shape and Gram⁻Schmidt Transformation. [PDF]
Huang Z, Chen Q, Chen Q, Liu X.
europepmc +1 more source
This paper presents a multi‐model deep learning pipeline for coarse fruit‐presence filtering, ripeness classification and pixel‐level spoilage segmentation. YOLOv11n is used only as an image‐level presence filter, four classifiers predict one of nine ripeness classes across three fruit types and the Segment Anything Model (SAM ViT‐H) generates fine ...
Md. Fazlay Rabbi +4 more
wiley +1 more source
Assessment of corn chlorophyll content via UAV‐derived vegetative indices across growth stages
Abstract Traditional chlorophyll (Chl) assessment methods are labor‐intensive and spatially limited. This study evaluated unmanned aerial vehicle (UAV) multispectral imagery for nondestructive field‐scale canopy Chl estimation in corn (Zea mays L.) to support precision nutrient management.
Aarati Khulal +7 more
wiley +1 more source
Combining UAV-based hyperspectral imagery and machine learning algorithms for soil moisture content monitoring. [PDF]
Ge X +6 more
europepmc +1 more source
ABSTRACT Phenolic and flavonoid contents in medicinal plants are essential to their growth and development and provide numerous health benefits, yet their quantification using traditional wet chemistry is labor‐intensive and time‐consuming. This study utilized the combination of two benchtop hyperspectral imaging (HSI) systems, namely short‐wave ...
Rahul Joshi +9 more
wiley +1 more source
Seeing the unseen: hyperspectral imaging opens a new window into the root economics space
New Phytologist, EarlyView.
Boris Rewald
wiley +1 more source

