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JAIT 2024 Vol.15(2): 299-305
doi: 10.12720/jait.15.2.299-305

Interpretation of Chlorophyll Indexes to Estimate the Health Status of Plants within a Polyculture Model Implemented in the Municipality of Ponedera, Atlántico (Colombia), Using Multispectral Images

Luis Daniel Gualdron 1, Gonzalo G. Moreno 2,*, and Oscar E. Gualdrón-Guerrero 3,4
1. Department of Environment Engineering, University of Pamplona, Pamplona, Colombia
2. Department of Mechanical Engineering, University of Pamplona, Pamplona, Colombia
3. Department of Electronic Engineering, University of Pamplona, Pamplona, Colombia
4. Agroinnova Research Group, Ernesto Schiefelbein Foundation, Bogotá, Colombia
Email: luis.gualdron2@unipamplona.edu.co (L.D.G.); gmoren@unipamplona.edu.co (G.G.M.); oscar.gualdron@unipamplona.edu.co (O.E.G.-G.)
*Corresponding author

Manuscript received July 21, 2023; revised August 25, 2023; accepted October 26, 2023; published February 26, 2024.

Abstract—Multispectral surveys enable information collection from fertile soils using unmanned aerial vehicles equipped with cameras capable of capturing images in specific narrow ranges of visible and non-visible light spectra. The research presented in this article focuses on identifying various variables such as plant health, chlorophyll levels, and the presence of desired nutrients. These variables are assessed using the Chlorophyll Index (CI) through the development of an inspection and monitoring strategy, which allows for the rapid characterization of the soil under study and facilitates decision-making in agricultural activities. The strategy was implemented on a specific property in Ponedera, Atlántico (Colombia), where a polyculture of beans, plantains, and cassava was cultivated. The study involved conducting multispectral surveys at multiple time points for three months.
 
Keywords—chlorophyll index, multispectral images, polycultures, soil characterization

Cite: Luis Daniel Gualdron, Gonzalo G. Moreno, and Oscar E. Gualdrón-Guerrero, "Interpretation of Chlorophyll Indexes to Estimate the Health Status of Plants within a Polyculture Model Implemented in the Municipality of Ponedera, Atlántico (Colombia), Using Multispectral Images," Journal of Advances in Information Technology, Vol. 15, No. 2, pp. 299-305, 2024.

Copyright © 2024 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.