Validation of the percentage estimate of K, P, Ca, Mg, and S in grass dry matter calculated using a red, green and blue (RGB) image analysis algorithm

Authors

  • Oscar Fernando Ospina Rivera Servicios de Análisis de Explotaciones Pecuarias SADEP Ltda. Bogotá, Colombia
  • Andrea Baracaldo Martínez Uniagraria, Facultad de Ciencias Agrarias, Grupo de Investigación Ciencias Animales, Bogotá, Colombia
  • Héctor José Anzola Vasquez Uniagraria, Facultad de Ciencias Agrarias, Grupo de Investigación Ciencias Animales, Bogotá, Colombia
  • Olber Arturo Ayala Duarte Uniagraria, Facultad de Ciencias Agrarias, Grupo de Investigación Ciencias Animales, Bogotá, Colombia
  • Heissa Bernal Universidad del Tolima, Ibagué, Tolima, Colombia
  • Luis Miguel Acosta Urrego Universidad de Cundinamarca, Fusagasugá, Cundinamarca, Colombia
  • Jhon Alexander Moreno Sandoval Universidad de Cundinamarca, Fusagasugá, Cundinamarca, Colombia
  • Andres Mogollon Reina Universidad de Cundinamarca, Fusagasugá, Cundinamarca, Colombia
  • Nasly Bibiana Ospina Rivera Servicios de Análisis de Explotaciones Pecuarias SADEP Ltda. Bogotá, Colombia
  • Aura Maria Ospina Rivera Servicios de Análisis de Explotaciones Pecuarias SADEP Ltda. Bogotá, Colombia

DOI:

https://doi.org/10.15381/rivep.v35i3.24913

Keywords:

macro minerals, algorithm, drone, grasses, RGB

Abstract

The aim of this work was to compare the results obtained using the RGB image analysis algorithm - 2ARGB®- developed for the calculation of macro minerals, compared to those obtained with the argon plasma induction spectroscopy technique -EIP-. In the test, the content of five macro minerals, calcium (Ca), phosphorus (P), potassium (K), magnesium (Mg) and sulfur (S) was measured in the dry matter of seven species of tropical grasses in three thermal levels in Colombia. To estimate the macro minerals through the algorithm, a Dji Mavic Mini 1 drone with a 2.7 K, HD-RGB camera was used as a remote sensor at a height of 20 m. Images were taken of the same plots that were analyzed with the standard EIP technique from the Agrosavia Tibaitatá laboratory, Colombia. The Wilcoxon median comparison statistical test found no differences between the two methods when determining the percentage concentration of the macro minerals Ca, P, K, Mg and S in the dry matter of the grasses.

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Published

2024-06-28

Issue

Vol. 35 No. 3 (2024)

Section

Artículos Primarios

License

Copyright (c) 2024 Oscar Fernando Ospina Rivera, Andrea Baracaldo Martínez, Héctor José Anzola Vasquez, Olber Arturo Ayala Duarte, Heissa Bernal, Luis Miguel Acosta Urrego, John Alexander Moreno Sandoval, Andrés Mogollón Reina, Nasly Bibiana Ospina Rivera, Aura María Ospina Rivera

Creative Commons License

This work is licensed under a Creative Commons Attribution 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).

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How to Cite

Ospina Rivera, O. F., Baracaldo Martínez, A., Anzola Vasquez, H. J., Ayala Duarte, O. A., Bernal, H., Acosta Urrego, L. M., Moreno Sandoval, J. A., Mogollon Reina, A., Ospina Rivera, N. B., & Ospina Rivera, A. M. (2024). Validation of the percentage estimate of K, P, Ca, Mg, and S in grass dry matter calculated using a red, green and blue (RGB) image analysis algorithm. Revista De Investigaciones Veterinarias Del Perú, 35(3), e24913. https://doi.org/10.15381/rivep.v35i3.24913