Comparison between red, green and blue images and near-infrared spectroscopy methods in the neutral detergent fiber (NDF) analysis

Authors

  • Oscar Ospina R. Servicios de Análisis de Explotaciones Pecuarias SADEP
  • Hector José Anzola Vasquez Facultad de Ciencias Agrarias, Fundación Universitaria Agraria de Colombia – UNIAGRARIA
  • Olber Ayala D. Facultad de Ciencias Agrarias, Fundación Universitaria Agraria de Colombia – UNIAGRARIA
  • Andrea Baracaldo M. Facultad de Ciencias Agrarias, Fundación Universitaria Agraria de Colombia – UNIAGRARIA
  • Juan Arévalo C. Facultad de Ciencias Agrarias, Fundación Universitaria Agraria de Colombia – UNIAGRARIA
  • Pedro Lozada W. Facultad de Ciencias Agrarias, Fundación Universitaria Agraria de Colombia – UNIAGRARIA

DOI:

https://doi.org/10.15381/rivep.v32i1.17498

Keywords:

algorithm, drone, bromatological analysis, RGB, NDF

Abstract

The aim of this study to the evaluate the precision of the Red, Green, Blue (RGB) image analysis algorithm included in the TaurusWebs V2017® software for calculating the percentage of neutral detergent fiber (NDF) in the dry matter of grasses, from images of the grasslands taken by a drone with RGB camera. The results were compared with NDF values calculated with near infrared spectroscopy (NIRS). Forty-two samples were taken for NIRS: 18 from grasses from the high tropics in Cundinamarca: kikuyu (Pennisetum clandestinum), velvet grass (Holcus lanatus) and reed canarian grass (Phalaris arundinacea) and 24 from the lower tropics in Tolima, Colombia: pangola (Digitaria decumbens), para (Brachiaria mutica), Bermuda grass (Cynodon dactylon) and silver grass (Bothriochloa pertusa). The results were compared against 180 evaluations made with the algorithm of the images of the same grasses where the samples were taken for NIRS. The Kendall and Spearman correlation tests were significant (p<0.05), with an association of rho = 0.81 for the Kruskal Wallis hypothesis test (p>0.05). There were no significant differences in NDF values under the two methodologies and according to the Wilcoxon test, the medians of DNF calculated by NIRS vs. those of the algorithm are the same. In conclusion, the information generated with the algorithm can be used for NDF analysis work in grasses.

Downloads

Download data is not yet available.

Downloads

Published

2021-02-26

Issue

Vol. 32 No. 1 (2021)

Section

Artículos Primarios

License

Copyright (c) 2021 Oscar Ospina R., Hector José Anzola Vasquez, Olber Ayala D., Andrea Baracaldo M., Juan Arévalo C., Pedro Lozada W.

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

AUTHORS RETAIN THEIR RIGHTS:

a. Authors retain their trade mark rights and patent, and also on any process or procedure described in the article.

b. Authors retain their right to share, copy, distribute, perform and publicly communicate their article (eg, to place their article in an institutional repository or publish it in a book), with an acknowledgment of its initial publication in the Revista de Investigaciones Veterinarias del Perú (RIVEP).

c. Authors retain theirs right to make a subsequent publication of their work, to use the article or any part thereof (eg a compilation of his papers, lecture notes, thesis, or a book), always indicating the source of publication (the originator of the work, journal, volume, number and date).

How to Cite

Ospina R., O., Anzola Vasquez, H. J., Ayala D., O., Baracaldo M., A., Arévalo C., J., & Lozada W., P. (2021). Comparison between red, green and blue images and near-infrared spectroscopy methods in the neutral detergent fiber (NDF) analysis. Revista De Investigaciones Veterinarias Del Perú, 32(1), e17498. https://doi.org/10.15381/rivep.v32i1.17498