Results 121 to 130 of about 11,302,780 (290)
Assessing plant water status: Part 2 – Non‐destructive and remote sensing approaches
Abstract Precise, real time and non‐destructive assessment of plant water status is important for advancing plant physiological understanding, optimizing water usage, improving crop resilience and supporting precision agriculture in the face of increasingly variable climatic conditions.
Naila Farooq +7 more
wiley +1 more source
Abstract BACKGROUND This study developed an explainable machine learning framework integrating morphological, color, and biochemical characteristics for classifying chia (Salvia hispanica L.) genotypes. A dataset was assembled from 1200 seed images spanning four genotypes, from which 17 morphological and color features were extracted.
Sevim Akcura +3 more
wiley +1 more source
Artificial Intelligence in Dermatology: Current Applications and Future Directions
This scoping review of 56 studies maps AI applications in dermatology. Image‐based classification for skin cancer detection dominates (48%), followed by clinical decision support (21%), teledermatology triage (11%), and predictive analytics (11%). While deep learning algorithms demonstrate diagnostic performance comparable to clinicians in controlled ...
Sofía Pérez‐Lalinde +1 more
wiley +1 more source
SEGMENTATION OF HYPERSPECTRAL IMAGE USING JSEG BASED ON UNSUPERVISED CLUSTERING ALGORITHMS [PDF]
Hyperspectral image analysis is a complicated and challenging task due to the inherent nature of the image. The main aim of this work is to segment the object in hyperspectral scene using image processing technique.
V. Saravana Kumar, E.R. Naganathan
doaj
ABSTRACT Soil organic matter (SOM) is a key indicator of land degradation and soil functioning. It plays an essential role in nutrient cycling, soil structure, and long‐term agroecosystem resilience. The variations of surface cover, soil moisture and soil texture heterogeneity will affect the accuracy of SOM remote sensing mapping. This study developed
Xuzhou Qu +8 more
wiley +1 more source
Abstract Phytoplankton play a central role in ocean biogeochemistry and understanding their composition and variability is critical for monitoring marine ecosystem dynamics. Continuous spectrophotometric measurements (using a Seabird Sci. AC‐S) along ship tracks enable high‐resolution measurements of particle spectral absorption (apλ$$ {a}_p\left ...
Margherita Costanzo +4 more
wiley +1 more source
Novel folded-PCA for improved feature extraction and data reduction with hyperspectral imaging and SAR in remote sensing [PDF]
As a widely used approach for feature extraction and data reduction, Principal Components Analysis (PCA) suffers from high computational cost, large memory requirement and low efficacy in dealing with large dimensional datasets such as Hyperspectral ...
Han, Junwei +6 more
core
HoloSpec: Dispersion‐Based 4D Computational Holographic Hyperspectral Imaging
HoloSpec, a compact dispersion‐based computational holographic system, achieves four‐dimensional imaging by retrieving 3D spatial structure and high‐resolution spectra from only two monochromatic snapshots. Using a single prism and a monochrome sensor, it resolves 430 spectral channels with 3 nm experimental resolution and 30 μm$\mathrm{\mu}\mathrm{m}$
Jingyan Chen +3 more
wiley +1 more source
Characterization and Repetition Rate Locking of a 1 GHz Erbium‐Doped ZBLAN Waveguide‐Chip Comb Laser
A compact, erbium‐doped ZBLAN waveguide chip mode‐locked laser that self‐starts, delivers stable ultrashort pulses, and repetition rate locked to a 1 GHz radio‐frequency reference. The laser produces near transform‐limited 324 fs pulses and 12 nm bandwidth with low noise and long‐term stability, with potential applications in optical frequency ...
Wen Qi Zhang +4 more
wiley +1 more source
In the field of hyperspectral image classification, deep learning technology, especially convolutional neural networks, has achieved remarkable progress.
Laiying Fu +3 more
doaj +1 more source

