Results 111 to 120 of about 1,787,918 (275)

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

Journal 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, Bo Zhang, Bastian Leander Franzisky, Tasawer Abbas, Jochen Taiber, Martin Koch, Ian C Dodd, Christoph‐Martin Geilfus   +7 more
wiley   +1 more source

Spectroscopic characterization of bacterial colonies through UV hyperspectral imaging techniques

Frontiers in Chemistry
IntroductionPlate culturing and visual inspection are the gold standard methods for bacterial identification. Despite the growing attention on molecular biology techniques, colony identification using agar plates remains manual, interpretative, and ...
Josune J. Ezenarro, Mohammad Al Ktash, Nuria Vigues, Jordi Mas Gordi, Xavi Muñoz-Berbel, Xavi Muñoz-Berbel, Marc Brecht   +6 more
doaj   +1 more source

Hyperspectral Imaging for Peach Ripening Assessment [PDF]

, 2010
The present research is focused on the application of artificial vision to peach ripening assessment, avoiding multiplicative and additive effect. Original images were acquired with a hyperspectral camera.
Diezma Iglesias, Belen, Roger, Jean-Michel, Lleó García, Lourdes, Herrero Langreo, Ana   +3 more
core  

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

Journal 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, Irem Poyraz, Beyza Ciftci, Mahmut Kaplan   +3 more
wiley   +1 more source

Hyperspectral Imaging for Lateral Tumour Demarcation of High-risk Basal Cell Carcinomas during Mohs Micrographic Surgery

Acta Dermato-Venereologica
Hyperspectral imaging is a non-invasive imaging modality showing potential in delineating tumour margins preoperatively. This pilot study evaluated the feasibility of using hyperspectral imaging to demarcate lateral margins of high-risk facial basal cell
Hannah Ceder, Mari Salmivuori, Ilkka Pölönen, John Paoli, Noora Neittaanmäki   +4 more
doaj   +1 more source

Artificial Intelligence in Dermatology: Current Applications and Future Directions

JEADV 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, Francisco Flores   +1 more
wiley   +1 more source

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

Land 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, Meiyan Shu, Huiming Song, Xiaohe Gu, Jingping Zhou, Qian Sun, Baoyuan Zhang, Menglei Dai, Chunjiang Zhao   +8 more
wiley   +1 more source

HoloSpec: Dispersion‐Based 4D Computational Holographic Hyperspectral Imaging

Laser &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, Yuxing Li, Yanmin Zhu, Edmund Y. Lam   +3 more
wiley   +1 more source

Characterization and Repetition Rate Locking of a 1 GHz Erbium‐Doped ZBLAN Waveguide‐Chip Comb Laser

Laser &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, Nicolas Bourbeau Hébert, Dale E. Otten, Colin Hall, David G. Lancaster   +4 more
wiley   +1 more source

Computational Imaging Method for Thermal Infrared Hyperspectral Imaging Based on a Snapshot Divided-Aperture System

Sensors
To address the technical challenge of simultaneously achieving snapshot imaging capability and high spectral resolution in thermal infrared spectral imaging, this paper proposes a computational imaging method based on a snapshot divided-aperture imaging ...
Tianzhen Ma, Zhijing He, Bin Wu, Yutian Lei, Yijie Wang, Xinze Liu, Bingmei Guo, Jiawei Lu, Bo Cheng, Shikai Zan, Chunlai Li, Liyin Yuan   +11 more
doaj   +1 more source