2024
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 Gualdron1
,
Gonzalo G. Moreno2,* ,
Oscar E. Gualdrón-Guerrero3,4
- 1Department of Environment Engineering, University of Pamplona, Pamplona, Colombia
- 2Department of Mechanical Engineering, University of Pamplona, Pamplona, Colombia
- 3Department of Electronic Engineering, University of Pamplona, Pamplona, Colombia
- 4Agroinnova Research Group, Ernesto Schiefelbein Foundation, Bogotá, Colombia
- Manuscript receivedJuly 21, 2023
- revisedAugust 25, 2023
- acceptedOctober 26, 2023
- publishedFebruary 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
How to 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. https://doi.org/10.12720/jait.15.2.299-305
Copyright & License
Copyright © 2024 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
