2025 : 9 : 29

Kamran Kheiralipour

Academic rank: Associate Professor
ORCID:
Education: PhD.
ScopusId:
HIndex:
Faculty: Agriculture
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Research

Title
Current and Future Applications of Hyperspectral Imaging in Agriculture, Nature, and Food
Type
JournalPaper
Keywords
Evaluation; Potential; Nigeria Trees; Extracts; Organic and Cosmetic Production
Year
2024
Journal Trends in Technical & Scientific Research
DOI
Researchers Kamran Kheiralipour ، Digvir S. Jayas

Abstract

Applying imaging technology in different fields allowed accurate, reliable, repeatable, fast, nondestructive, and low-cost assessment of goals of the interest. Hyperspectral imaging as a near infrared imaging technique widely used for research and application purposes in different fields due to detection of nonvisible goals via recording materials’ reflectance in the range of 400-2500 nm. It combined advantages of infrared wave analysis in spectroscopy and area assessment in imaging technology. These advantages allowed the assessment of both internal and external properties of materials. Different methods are applied to process the hyperspectral images to extract efficient wavelengths and image features and then analyze them to achieve useful results for decision making. Hyperspectral imaging has been used in biosystems engineering for improve different activities in agriculture, natural resources, and food sector. The hyperspectral imaging has been explained and different goals of applying the technique in agriculture, natural resources and food have been presented. The purpose of this literature review was to describe the applications of near-infrared hyperspectral imaging in biosystems engineering in Iran.