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Chemometric Tools for NIRS and NIR Hyperspectral Imaging
Author(s) -
Laura Dale,
André Thewis,
Ioan Rotar,
Juan Antonio Fernández Pierna,
Christelle Boudry,
Roxana Vidican,
Vincent Baeten
Publication year - 2012
Publication title -
bulletin of university of agricultural sciences and veterinary medicine cluj-napoca. agriculture
Language(s) - English
Resource type - Journals
eISSN - 1843-5386
pISSN - 1843-5246
DOI - 10.15835/buasvmcn-agr:8658
Subject(s) - hyperspectral imaging , near infrared spectroscopy , computer science , precision agriculture , remote sensing , artificial intelligence , environmental science , pattern recognition (psychology) , agriculture , geography , archaeology , quantum mechanics , physics
Nowadays in agriculture, new analytical tools based on spectroscopic technologies are developed. Near Infrared Spectroscopy (NIRS) is a well known technology in the agricultural sector allowing the acquisition of chemical information from the samples with a large number of advantages, such as: easy to use tool, fast and simultaneous analysis of several components, non-polluting, noninvasive and non destructive technology, and possibility of online or field implementation. Recently, NIRS system was combined with imaging technologies creating the Near Infrared Hyperspectral Imaging system (NIR-HSI). This technology provides simultaneously spectral and spatial information from an object. The main differences between NIR-HSI and NIRS is that many spectra can be recorded simultaneously from a large area of an object with the former while with NIRS only one spectrum was recorded for analysis on a small area. In this work, both technologies are presented with special focus on the main spectrum and images analysis methods. Several qualitative and quantitative applications of NIRS and NIR-HSI in agricultural products are listed. Developments of NIRS and NIR-HSI will enhance progress in the field of agriculture by providing high quality and safe agricultural products, better plant and grain selection techniques or compound feed industry’s productivity among others.

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