HYBRID EVENT: You can participate in person at Valencia, Spain or Virtually from your home or work.
HYBRID EVENT
September 08-10, 2025 | Valencia, Spain

Food Hyperspectral Imaging

Food Hyperspectral Imaging

Food hyperspectral imaging is an advanced analytical technique that combines imaging technology with spectroscopy to provide detailed information about the chemical composition, quality, and safety of food products. This non-destructive method utilizes the entire electromagnetic spectrum, including both visible and non-visible wavelengths, to capture high-resolution images of food samples and analyze their spectral signatures. Each pixel in the hyperspectral image corresponds to a unique spectrum, allowing for the identification and quantification of specific compounds or characteristics within the food sample. Hyperspectral imaging can detect subtle differences in color, texture, moisture content, fat content, protein content, sugar content, and other compositional attributes that may indicate quality defects, contamination, or adulteration in food products. The technique is particularly valuable for rapid and objective assessment of food quality parameters, such as ripeness, freshness, shelf life, and authenticity, without the need for extensive sample preparation or chemical analysis. Hyperspectral imaging systems consist of a hyperspectral camera, light source, and data processing software capable of capturing and analyzing spectral images across multiple wavelengths. Various imaging modalities, including reflectance, transmittance, and fluorescence, can be employed to assess different aspects of food composition and quality. Hyperspectral imaging has applications across the entire food supply chain, from raw material inspection and processing to quality control, packaging, and distribution. In agriculture, hyperspectral imaging can be used for crop monitoring, disease detection, and yield estimation, helping farmers optimize production practices and minimize losses. In food processing, hyperspectral imaging can detect foreign objects, defects, and contaminants in raw ingredients, semi-finished products, and finished goods, enabling timely intervention and quality assurance. In food packaging, hyperspectral imaging can verify seal integrity, label placement, and product fill levels, ensuring compliance with regulatory requirements and consumer expectations. Hyperspectral imaging is also valuable for authentication and traceability of food products, enabling verification of origin, species, variety, and processing history to prevent fraud and protect consumer interests.

Committee Members
Speaker at Food Science and Technology 2025 - Said Bouhallab

Said Bouhallab

INRAE, France
Speaker at Food Science and Technology 2025 - Rita Singh Raghguvanshi

Rita Singh Raghguvanshi

Govind Ballabh Pant University of Agriculture and Technology, India
Speaker at Food Science and Technology 2025 - Maria Jesus Villasenor Llerena

Maria Jesus Villasenor Llerena

University of Castilla-La Mancha, Spain
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