168 related articles for article (PubMed ID: 15720740)
1. Implementation of LOCAL algorithm with near-infrared spectroscopy for compliance assurance in compound feedingstuffs.
Pérez-Marín D; Garrido-Varo A; Guerrero JE
Appl Spectrosc; 2005 Jan; 59(1):69-77. PubMed ID: 15720740
[TBL] [Abstract][Full Text] [Related]
2. Advanced nonlinear approaches for predicting the ingredient composition in compound feedingstuffs by near-infrared reflection spectroscopy.
Pérez-Marín D; Garrido-Varo A; Guerrero JE; Fearn T; Davies AM
Appl Spectrosc; 2008 May; 62(5):536-41. PubMed ID: 18498695
[TBL] [Abstract][Full Text] [Related]
3. Evaluation of pretreatment strategies for near-infrared spectroscopy calibration development of unground and ground compound feedingstuffs.
Fernández-Cabanás VM; Garrido-Varo A; Pérez-Marín D; Dardenne P
Appl Spectrosc; 2006 Jan; 60(1):17-23. PubMed ID: 16454905
[TBL] [Abstract][Full Text] [Related]
4. Optimization of discriminant partial least squares regression models for the detection of animal by-product meals in compound feedingstuffs by near-infrared spectroscopy.
Pérez-Marín DC; Garrido-Varo A; Guerrero JE
Appl Spectrosc; 2006 Dec; 60(12):1432-7. PubMed ID: 17217593
[TBL] [Abstract][Full Text] [Related]
5. Feasibility of diode-array instruments to carry near-infrared spectroscopy from laboratory to feed process control.
Fernández-Ahumada E; Garrido-Varo A; Guerrero-Ginel JE
J Agric Food Chem; 2008 May; 56(9):3185-92. PubMed ID: 18407654
[TBL] [Abstract][Full Text] [Related]
6. Use of artificial neural networks in near-infrared reflectance spectroscopy calibrations for predicting the inclusion percentages of wheat and sunflower meal in compound feedingstuffs.
Pérez-Marín D; Garrido-Varo A; Guerrero JE; Gutiérrez-Estrada JC
Appl Spectrosc; 2006 Sep; 60(9):1062-9. PubMed ID: 17002832
[TBL] [Abstract][Full Text] [Related]
7. "Global" and "local" predictions of dairy diet nutritional quality using near infrared reflectance spectroscopy.
Tran H; Salgado P; Tillard E; Dardenne P; Nguyen XT; Lecomte P
J Dairy Sci; 2010 Oct; 93(10):4961-75. PubMed ID: 20855031
[TBL] [Abstract][Full Text] [Related]
8. Visible and near-infrared calibrations for quality assessment of fresh phase I and II mushroom (Agaricus bisporus) compost.
Sharma HS; Kilpatrick M; Lyons G; Sturgeon S; Archer J; Moore S; Cheung L; Finegan K
Appl Spectrosc; 2005 Nov; 59(11):1399-405. PubMed ID: 16316519
[TBL] [Abstract][Full Text] [Related]
9. Blank augmentation protocol for improving the robustness of multivariate calibrations.
Kramer KE; Small GW
Appl Spectrosc; 2007 May; 61(5):497-506. PubMed ID: 17555619
[TBL] [Abstract][Full Text] [Related]
10. Measurement of soluble solids content in watermelon by Vis/NIR diffuse transmittance technique.
Tian HQ; Ying YB; Lu HS; Fu XP; Yu HY
J Zhejiang Univ Sci B; 2007 Feb; 8(2):105-10. PubMed ID: 17266185
[TBL] [Abstract][Full Text] [Related]
11. Near-infrared analysis of whole kernel barley: comparison of three spectrometers.
Sohn M; Himmelsbach DS; Barton FE; Griffey CA; Brooks W; Hicks KB
Appl Spectrosc; 2008 Apr; 62(4):427-32. PubMed ID: 18416902
[TBL] [Abstract][Full Text] [Related]
12. Prediction of digestible energy value of extruded dog food: comparison of methods.
Hervera M; Baucells MD; Torre C; Buj A; Castrillo C
J Anim Physiol Anim Nutr (Berl); 2008 Jun; 92(3):253-9. PubMed ID: 18477305
[TBL] [Abstract][Full Text] [Related]
13. Near-infrared reflectance spectroscopy for predicting amino acids content in intact processed animal proteins.
De la Haba MJ; Garrido-Varo A; Guerrero-Ginel JE; Pérez-Marín DC
J Agric Food Chem; 2006 Oct; 54(20):7703-9. PubMed ID: 17002442
[TBL] [Abstract][Full Text] [Related]
14. Nondestructive determination of lignans and lignan glycosides in sesame seeds by near infrared reflectance spectroscopy.
Kim KS; Park SH; Choung MG
J Agric Food Chem; 2006 Jun; 54(13):4544-50. PubMed ID: 16786996
[TBL] [Abstract][Full Text] [Related]
15. Digital filtering and model updating methods for improving the robustness of near-infrared multivariate calibrations.
Kramer KE; Small GW
Appl Spectrosc; 2009 Feb; 63(2):246-55. PubMed ID: 19215656
[TBL] [Abstract][Full Text] [Related]
16. Quantification of fatty acids in forages by near-infrared reflectance spectroscopy.
Foster JG; Clapham WM; Fedders JM
J Agric Food Chem; 2006 May; 54(9):3186-92. PubMed ID: 16637670
[TBL] [Abstract][Full Text] [Related]
17. Spectral simulation methodology for calibration transfer of near-infrared spectra.
Sulub Y; Small GW
Appl Spectrosc; 2007 Apr; 61(4):406-13. PubMed ID: 17456259
[TBL] [Abstract][Full Text] [Related]
18. Evaluation of local approaches to obtain accurate near-infrared (NIR) equations for prediction of ingredient composition of compound feeds.
Fernández-Ahumada E; Fearn T; Gómez-Cabrera A; Guerrero-Ginel JE; Pérez-Marín DC; Garrido-Varo A
Appl Spectrosc; 2013 Aug; 67(8):924-9. PubMed ID: 23876731
[TBL] [Abstract][Full Text] [Related]
19. Comparison of diffuse reflectance fourier transform mid-infrared and near-infrared spectroscopy with grating-based near-infrared for the determination of fatty acids in forages.
Calderon FJ; Reeves JB; Foster JG; Clapham WM; Fedders JM; Vigil MF; Henry WB
J Agric Food Chem; 2007 Oct; 55(21):8302-9. PubMed ID: 17892260
[TBL] [Abstract][Full Text] [Related]
20. Chemometric determination of blood parameters using visible-near-infrared spectra.
Meinke M; Gersonde I; Friebel M; Helfmann J; Müller G
Appl Spectrosc; 2005 Jun; 59(6):826-35. PubMed ID: 16053549
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]