Results 121 to 130 of about 11,302,780 (290)

Assessing plant water status: Part 2 – Non‐destructive and remote sensing approaches

open access: yesJournal of the Science of Food and Agriculture, EarlyView.
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

Image‐based and biochemical multimodal phenotyping for explainable classification of chia (Salvia hispanica L.) genotypes

open access: yesJournal of the Science of Food and Agriculture, EarlyView.
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

open access: yesJEADV Clinical Practice, EarlyView.
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]

open access: yesICTACT Journal on Image and Video Processing, 2016
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  

Optimizing Soil Organic Matter Estimation Through Multi‐Factor Zoning and Tree‐Based Automated Learning

open access: yesLand Degradation &Development, EarlyView.
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

A novel approach to estimate non‐algal particle absorption for improved retrieval of pigment concentrations in coastal waters

open access: yesLimnology and Oceanography: Methods, EarlyView.
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]

open access: yes, 2014
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

open access: yesLaser &Photonics Reviews, EarlyView.
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

open access: yesLaser &Photonics Reviews, EarlyView.
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

DMCCT: Dual-Branch Multi-Granularity Convolutional Cross-Substitution Transformer for Hyperspectral Image Classification

open access: yesApplied Sciences
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

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