Mobile application for reporting information on the illicit crops’ eradication process
Main Article Content
This paper presents a mobile application called SIREG, which is part of a bigger concept of a management system called SIREG (for its acronym in Spanish) for digital information management of eradication of illicit crops. Hence, the app is considered as the first step in developing the concept. Specifically, the app supports capturing and sending relevant information about the eradication process. This process is usually manually collected and reported by voi-ce, which can result to errors in the reports. To this end, the main components of the process were identified, such as patrol information, crop characteristics, photographic record, and georeferenced information of the eradicated areas. These components were used to define the application’s functionality through modules associated with each component. The implementation was performed on a Trimble TDC100, an Android device with suitable features for challenging field conditions. Preliminary tests show good performance in positioning, with an error rate below 0.3%. The application transparently supports information reporting, allowing traceability of the process and monitoring. Likewise, this is valuable information for decision-makers, such as military commanders or authorities. In addition, this digitized information would provide reliable data on areas affected by the growth of illicit crops, such as forests or protected natural areas.
Grupo de Memoria Histórica. ¡Basta
ya! Colombia: Memorias de guerra y
dignidad. Bogotá: Imprenta Nacional, 2013. Available from: https://doi.
org/10.4000/rhj.6237
González Plazas, S. El Programa de
erradicación de cultivos ilícitos mediante aspersión aérea de glifosato:
hacia la clarificación de la política
y su debate. Editorial Universidad del Rosario; 2006. https://doi.
org/10.48713/10336_3886
Wagner E, Romero L, Rendón C.
Acompañamiento agropecuario
para sustituir la coca en La Montañita y Puerto Rico, Caquetá,
Colombia 2018-2019. Ciudad
Paz-ando [Internet]. 2021 [cited
November 2022];14(1), 70-84.
Available from: https://doi.org/10.14483/2422278X.17068
Fuentes del Toro R. C., Romero Galvez JI. PDSCI Proyecto de sustitución
de cultivos ilícitos. [Bachelor Thesis].
Bogotá. Universidad Jorge Tadeo
Lozano; 2020. http://hdl.handle.
net/20.500.12010/12450
UNODC, O. Informe de monitoreo
de territorios afectados por cultivos
ilícitos 2021. 2022. Available from:
https://www.unodc.org/documents/
colombia/2022/Octubre/Otros/
Informe_de_Monitoreo_de_Territorios_Afectados_por_Cultivos_Ilicitos_2021.pdf
Borrero, H., & Parada, J. The
‘carrot’and the ‘stick’to reduce
coca plantations in Colombia: An
empirical investigation. Revista
Desarrollo y Sociedad. 2022; (92),
-167.
Policía Nacional de Colombia, Dirección de Antinarcóticos DIRAN.
Sistema integrado deinformación
y monitoreo antinarcóticos – SIIMA. [cited 2022 Nov 29]. Available
from: https://sig.esri.co/casos_
de_exito/policia-nacional-colombia-siima/
Castiblanco de la Hoz, LA, Castiblanco Cerón JY. Diseño de un sistema
de información geográfica en el
tratamiento de cultivos ilícitos y sus
problemáticas sociales en la zona
del Catatumbo–Norte de Santander
limítrofe con el estado de Zulia Venezuela como apoyo a las Fuerzas
Militares de Colombia [Master’s
thesis]. Bogotá: Universidad Distrital Francisco José de Caldas; 2018.
Available from: http://hdl.handle.
net/11349/28173
Molano Rincón, N. R. Identificación
de cultivos ilícitos a través de procedimiento de imágenes y visualización de resultados por medio de
aplicación web. [Master’s thesis].
Universidad de Salamanca; 2021.
Available from: http://hdl.handle.
net/10366/143968
Suárez, HLA, Angarita GPG, Castañeda LNR, Castro PPC. Illicit crops,
planning of substitution with sustainable crops based on remote
sensing: Application in the Sierra
Nevada of Santa Marta, Colombia.
In: Gorse C, Scott L, Booth C, Dastbaz M. (eds) Climate Emergency
– Managing, Building, and Delivering the Sustainable Development
Goals. Springer, Cham; 2022. [cited 29 November 2022]. Available
from: https://doi.org/10.1007/978-
-030-79450-7_36
Sokeng TA, Zo-Bi VCJ, Kouamé
KF, Grinand C, Vaudry, R. Detection of forest tree losses in Côte
d’Ivoire using drone aerial images. drones. 2022;6:83. https://doi.
org/10.3390/drones6040083
Jiang Y, Huang Y, Liu J, Li D, Li
S, Nie W, Chung IH. Automatic
volume calculation and mapping
of construction and demolition
debris using drones, deep learning, and GIS. Drones 2022;6:279.
drones6100279
Kovaniˇc L’, Topitzer B, Pet’ovský
P, Blišt’an P, Gergel’ová MB,
Blišt’anová M. Review of photogrammetric and lidar applications
of UAV. Appl. Sci. 2023;13:6732.
app13116732
Muñiz-Sánchez V, Fuerte-Celis
P, Méndez-Ramírez K, The killing
fields. A Bayesian analysis of crop
eradication and organized crime
violence in Mexico. Spatial Statistics. 2022; 47:100553.
Quiroga Angel V, Stevenson P, Wagner HH. The effect of illicit crops on
forest cover in Colombia. Journal of
Land Use Science. 2022 [cited 29 November 2022]; 17:1:47-59. Available
from: https://doi.org/10.1080/17474
X.2021.2020921
Pérez Corredor RD. Módulo Bluetooth para la transmisión de datos
vía RF. Ciencia y Tecnología del
Ejército. 2013; 5(2):47-59.
Pena JA, Yumin T, Liu H, Zhao B,
Garcia JA, Pinto JA. Remote sensing data fusion to detect illicit
crops and unauthorized airstrips.”
International Archives of the Photogrammetry, Remote Sensing &
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Authors grant the journal and Universidad del Valle the economic rights over accepted manuscripts, but may make any reuse they deem appropriate for professional, educational, academic or scientific reasons, in accordance with the terms of the license granted by the journal to all its articles.
Articles will be published under the Creative Commons 4.0 BY-NC-SA licence (Attribution-NonCommercial-ShareAlike).