A5051697460- Spectroscopy and Chemometric Analyses
- Remote Sensing in Agriculture
- Leaf Properties and Growth Measurement
- Remote-Sensing Image Classification
- Spectroscopy Techniques in Biomedical and Chemical Research
- Advanced Chemical Sensor Technologies
- Remote Sensing and Land Use
- Remote Sensing and LiDAR Applications
- Soil Geostatistics and Mapping
- Geochemistry and Geologic Mapping
- Smart Agriculture and AI
- Forest ecology and management
- Identification and Quantification in Food
- Essential Oils and Antimicrobial Activity
- Wood Treatment and Properties
- Industrial Vision Systems and Defect Detection
- Cultural Heritage Materials Analysis
- Land Use and Ecosystem Services
- Wood and Agarwood Research
- Phytochemicals and Antioxidant Activities
- Horticultural and Viticultural Research
- Advanced Image Fusion Techniques
- Date Palm Research Studies
- Plant Physiology and Cultivation Studies
- Meat and Animal Product Quality
Université de Montpellier
2018-2025
Institut Agro Montpellier
2018-2025
Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement
2019-2025
Centre de Coopération Internationale en Recherche Agronomique pour le Développement
2025
ITAP - Technologies et Méthodes pour les Agricultures de demain
2011-2022
Ingénierie des Agropolymères et Technologies Emergentes
2006-2022
Centre Occitanie-Montpellier
2019
Institut de l'Environnement et Recherches Agricoles
2006-2018
Abstract Visible-near-infrared hyperspectral imaging was tested for its suitability monitoring the moisture content (MC) of wood samples during natural drying. Partial least-squares regression (PLSR) prediction MC performed on basis average reflectance spectra obtained from images. The validation showed high accuracy. results were compared concerning PLSR mapping raw and standard normal variate (SNV) treatment. SNV pretreatment leads to best visualizing distribution in wood. Hyperspectral...
The use of a common environment for processing different powder foods in the industry has increased risk finding peanut traces foods. analytical methods commonly used detection such as enzyme-linked immunosorbent assay (ELISA) and real-time polymerase chain reaction (RT-PCR) represent high specificity sensitivity but are destructive time-consuming, require highly skilled experimenters. feasibility NIR hyperspectral imaging (HSI) is studied down to 0.01% by weight. A principal-component...
Vitreousness is an important grading factor for durum wheat kernel that associated with protein content. The European Union (EU) regulations stipulate the use of a visual method to determine vitreousness rate. However, some authors have been interested in development automatic and non-destructive methods based on near infrared spectroscopy or digital imaging technology. In this paper, we propose couple technology and, thus, analyse potential hyperspectral system classify kernels by their...
Abstract The detection of plant diseases, including fungi, is a major challenge for reducing yield gaps crops across the world. We explored potential PROCOSINE radiative transfer model to assess effect fungus Pseudocercospora fijiensis on leaf tissues using laboratory-acquired submillimetre-scale hyperspectral images in visible and near-infrared spectral range. objectives were (i) dynamics biochemical biophysical parameters estimated inversion as function disease stages, (ii) discriminate...
This dataset presents two series of hyperspectral images healthy and infected apple tree leaves acquired daily, from days after inoculation until an advanced stage infection (11 inoculation). The were calibrated by reflection correction registered to match the geometry one reference image. On last experiment day, scab positions are provided.
Abstract The paper proposes a methodology based on near‐infrared (NIR) spectrometry for studying stratigraphy and depth profiles in archaeological excavations. NIR spectra can be used to describe complement the wet chemical analysis. Soil samples were collected from 0.8 m deep of Neolithic site that analyzed by three different instrumentations. Phosphate‐ magnetic susceptibility inductively‐coupled plasma mass measurements also conducted as reference Principal component analysis data...
The aim of our study is to examine the potential SWIR hyperspectral imaging early detect apple scab infection. Close range images healthy and infected leaves were acquired daily under laboratory conditions from 2 days 11 after inoculation using a push-broom camera. A PLS-DA classification model was built at advanced infection stage D11 applied on others stages. This showed that good predictions can be achieved when classifying leaf regions based data PLS-DA. Results suggest spectral domain...
Abstract. Most methods for retrieving foliar content from hyperspectral data are well adapted either to remote-sensing scale, which each spectral measurement has a spatial resolution ranging few dozen centimeters hundred meters, or leaf an integrating sphere is required collect the data. In this study, we present method estimating optical properties images having of millimeters centimeters. presence single light source assumed be directional, it shown that measurements can related...