Results 171 to 180 of about 25,590 (247)

Colour detection method of Korla fragrant pear based on dielectric spectroscopy technology. [PDF]

Front Plant Sci
Zhang H, Liao J, Xiao Y.
europepmc   +1 more source

Predicting Properties from Near-Infrared Spectra with Machine Learning for Improved Polyolefin Differentiation. [PDF]

ACS Polym Au
Li S, Ivancic RJS, Sutliff BP, Huang D, Blázquez-Blázquez E, Martin TB, Migler KB, Audus DJ, Orski SV.   +8 more
europepmc   +1 more source

In-Plant Assessment of Peruvian Pisco Distillates Using Infrared Sensing Technologies. [PDF]

J Agric Food Chem
Wu Y, Hatta-Sakoda B, Hugo Toledo-Herrera V, Mellado Carretero J, Rodríguez-Saona LE.   +4 more
europepmc   +1 more source

Non-destructive evaluation of microbial quality of beef (<i>M. longissimus thoracis</i> muscle) using visible/NIR hyperspectral imaging and machine learning methods. [PDF]

J Anim Sci Technol
Park S, Hong SJ, Lee CH, Kim E, Kim SY, Jo C, Kim G.   +6 more
europepmc   +1 more source

Quantitative analysis of tobacco blending proportions based on hyperspectral imaging and data fusion. [PDF]

Front Plant Sci
Jiang Y, Xiao Q, Huang X, Gu R, Wen J, Zhang X, Liu Y, Li L, Chen X, Yang J, He Y.   +10 more
europepmc   +1 more source

Advancing the Analysis of Fatty Acid Composition in Animal-Based Marine Oils Through the Integration of Raman and IR Spectroscopy with Chemometrics. [PDF]

Foods
Ahmmed F, Gordon KC, Card A, Killeen DP, Fraser-Miller SJ.   +4 more
europepmc   +1 more source

Study on tensile properties of Hippophae rhamnoides roots and prediction model of chemical composition in tailing areas. [PDF]

Sci Rep
Yang Q, Hao Z, Cao X, Cheng W, Wang XM, Teng D, Yang D.   +6 more
europepmc   +1 more source

Validation and comparison of GC-MS, FT-MIR, and FT-NIR techniques for rapid bromoform quantification in Asparagopsis taxiformis extracts. [PDF]

Sci Rep
Meng W, Zhao M, Luo J, O'Donnell CP, Cama-Moncunill R, Sun H, Mu T, Garcia-Vaquero M.   +7 more
europepmc   +1 more source

Non-Destructive Detection of Internal Quality of Sanhua Plum Based on Multi-Source Information Fusion. [PDF]

Foods
Zheng W, Xu S, Liang X, Lu H, Wu P.
europepmc   +1 more source