Results 131 to 140 of about 45,417 (317)

Noise2Noise Denoising of CRISM Hyperspectral Data

CoRR
Hyperspectral data acquired by the Compact Reconnaissance Imaging Spectrometer for Mars (CRISM) have allowed for unparalleled mapping of the surface mineralogy of Mars. Due to sensor degradation over time, a significant portion of the recently acquired data is considered unusable.
Robert Platt 0002, Rossella Arcucci, Cédric M. John   +2 more
openaire   +2 more sources

Hyperspectral images segmentation: a proposal

, 2009
Hyper-Spectral Imaging (HIS) also known as chemical or spectroscopic imaging is an emerging technique that combines imaging and spectroscopy to capture both spectral and spatial information from an object. Hyperspectral images are made up of contiguous
GORETTA, Nathalie, CHRISTOPHE, Florio, LELONG, Camille, Fiorio, Christophe, ROGER, Jean-Michel, Gorretta, Nathalie, Bellon Maurel, Véronique, RABATEL, Gilles, BELLON-MAUREL, Véronique   +8 more
core  

Mycotoxin management in the cereal supply chain: Advanced detection, detoxification, and smart packaging strategies

Journal of the Science of Food and Agriculture, EarlyView.
Abstract Mycotoxins remain a persistent threat to the safety and quality of cereal grains and other agricultural products, and their impact on human health continues to raise global concerns. In many situations, the practices traditionally used to control these toxins are no longer sufficiently effective. They can be costly, difficult to implement on a
Abolfazl Asqardokht‐Aliabadi, Dipendra Kumar Mahato, Jafar Mohammadzadeh Milani   +2 more
wiley   +1 more source

Knowledge-based learning for classification of hyperspectral data [PDF]

, 2007
textThis research focuses on three critical issues related to land cover classification using hyperspectral data: i) robust classification of high dimensional input data; ii) utilization of contextual spatial information; and iii) knowledge transfer ...
Chen, Yang-Chi, 1973-
core  

Unleashing the power of visible‐near infrared spectroscopy: predicting Golden Delicious apple enzyme activity

Journal of the Science of Food and Agriculture, EarlyView.
Abstract BACKGROUND Enzymatic browning is a significant reaction in fruits that affects their color, appearance, and quality. The quality of apples, as a perishable product, is mainly influenced by the activity of two browning‐related enzymes, polyphenol oxidase (PPO) and peroxidase (POD), during storage.
Tarahom Mesri Gundoshmian, Mahsa Sadat Razavi, Reza Akbari, Mohammad Tahmasebi, Irene Locatelli, Silvia Grassi   +5 more
wiley   +1 more source

Effective feature extraction and data reduction with hyperspectral imaging in remote sensing

, 2014
Although PCA has been widely used for feature extraction and data reduction, it suffers from three main drawbacks: high computational cost, large memory requirement and low efficacy in processing large datasets such as HSI.
Zabalza, Jaime, Ren, Jinchang, Marshall, Stephen, Zheng, Jiangbin   +3 more
core   +1 more source

Assessing plant water status: Part 1 – Classical methods

Journal of the Science of Food and Agriculture, EarlyView.
Abstract As a result of the changing climate, water scarcity poses a significant threat to crop and pasture production. Although soil water content can indicate drought, its measurements often provide limited spatial resolution and are weakly correlated with plant water status, producing misleading drought assessments.
Naila Farooq, Tasawer Abbas, Bo Zhang, Bastian Leander Franzisky, Jochen Taiber, Martin Koch, Christoph‐Martin Geilfus, Ian C Dodd   +7 more
wiley   +1 more source

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

Uncertainty assessment for a novel optically shallow water radiometric acquisition platform

Limnology and Oceanography: Methods, EarlyView.
Abstract We present a novel motorized platform, a custom‐built jet‐ski designed for acoustic and radiometric measurements in optically shallow coastal waters. This platform integrates in‐water radiometers with single‐beam and multi‐beam acoustic sensors, along with a suite of active and passive instruments (conductivity‐temperature‐depth, fluorescence,
Raphaël Mabit, Simon Bélanger, Pascal Bernatchez   +2 more
wiley   +1 more source

From wild to tamed: Reimagining novel crops through omics and local plant diversity

PLANTS, PEOPLE, PLANET, EarlyView.
The global food system faces growing pressure from climate change, biodiversity loss, and rising nutritional demands. Agriculture has increased yields but reduced crop diversity, flavor, and nutritional quality, leaving societies vulnerable and dependent on a narrow set of staple species.
Alexandra Sanfeliu Meliá, Pablo D. Cárdenas   +1 more
wiley   +1 more source