Mostrar el registro sencillo del ítem
Los drones en los sistemas agrícolas sostenibles: una revisión bibliográfica
| dc.contributor.author | Galvis Ortega, Luz Dary | |
| dc.contributor.author | Claro Prado, Daniel Eduardo | |
| dc.contributor.author | Swaminathan, Jose | |
| dc.contributor.author | Rico Bautista, Dewar | |
| dc.coverage.spatial | Colombia | en_US |
| dc.date.accessioned | 2025-09-24T13:31:23Z | |
| dc.date.available | 2025-09-24T13:31:23Z | |
| dc.date.issued | 2024-08-01 | |
| dc.identifier.issn | 2414-6390 | en_US |
| dc.identifier.uri | https://repositorioinstitucional.ufpso.edu.co/xmlui/handle/20.500.14167/5597 | |
| dc.description.abstract | El artículo se centra en la aplicación de la tecnología 5G en drones para mejorar la agricultura sostenible. Destaca el uso de drones equipados con cámaras, que aprovechan las redes 5G para cubrir grandes áreas y acceder a zonas remotas, lo que permite un monitoreo más eficaz de los campos y cultivos. Se llevó a cabo una amplia investigación en ocho bibliotecas digitales, donde inicialmente se encontraron 186 estudios relevantes. Tras un análisis detallado, se seleccionaron 25 estudios que cumplían los criterios de investigación. Se observó que la agricultura de precisión presenta una amplia variedad de técnicas y herramientas, con una diversidad de cámaras y sensores actualmente en uso. Estas herramientas tienen aplicaciones prácticas que van desde la evaluación de la evaporación y la humedad del suelo hasta el monitoreo de los nutrientes y el rendimiento de los cultivos. El estudio identifica varios retos que deben abordarse, como la integración de datos de diferentes fuentes y la optimización de algoritmos para un análisis más preciso. Sin embargo, la agricultura de precisión se presenta como una herramienta valiosa con el potencial de transformar positivamente las prácticas agrícolas, fomentando la sostenibilidad y la eficiencia en el sector. | en_US |
| dc.language.iso | spa | en_US |
| dc.relation | https://laccei.org/LACCEI2024-CostaRica/full-papers/Contribution_1970_final_a.pdf | en_US |
| dc.title | Los drones en los sistemas agrícolas sostenibles: una revisión bibliográfica | en_US |
| dc.title.translated | Drones in sustainable agricultural systems: A literature review | en_US |
| dc.contributor.cvlac | Daniel Eduardo Claro Prado [0002039972] | en_US |
| dc.contributor.cvlac | Dewar Rico Bautista [0000255815] | en_US |
| dc.contributor.googlescholar | Jose Swaminathan [C3QVSY8AAAAJ] | en_US |
| dc.contributor.googlescholar | Dewar Rico Bautista [q_ZtKjsAAAAJ] | en_US |
| dc.contributor.orcid | Luz Dary Galvis Ortega [0009-0003-9461-6315] | en_US |
| dc.contributor.orcid | Daniel Eduardo Claro Prado [0000-0002-1550-8806] | en_US |
| dc.contributor.orcid | Jose Swaminathan [0000-0002-9151-0000] | en_US |
| dc.contributor.orcid | Dewar Rico Bautista [0000-0002-1808-3874] | en_US |
| dc.contributor.researchgate | Jose Swaminathan [Jose-Swaminathan-3] | en_US |
| dc.contributor.researchgate | Dewar Rico Bautista [Dewar-Rico-Bautista] | en_US |
| dc.contributor.scopus | Jose Swaminathan [57224920923] | en_US |
| dc.contributor.scopus | Dewar Rico Bautista [58689228900] | en_US |
| dc.description.abstractenglish | The article focuses on the application of 5G technology in drones to improve sustainable agriculture. It highlights the use of drones equipped with cameras, taking advantage of 5G networks to cover large areas and access remote areas, enabling more effective monitoring of fields and crops. Extensive research was conducted in eight digital libraries, where 186 relevant studies were initially found. After detailed analysis, 25 studies were selected that met the research criteria. It was observed that precision agriculture presents a wide variety of techniques and tools, with a diversity of cameras and sensors currently in use. These tools have practical applications ranging from assessing evaporation and soil moisture to monitoring crop nutrients and crop yields. The study identifies several challenges that need to be addressed, such as integrating data from different sources and optimizing algorithms for more accurate analysis. However, precision agriculture presents itself as a valuable tool with the potential to positively transform agricultural practices, fostering sustainability and efficiency in the sector. | en_US |
| dc.subject.proposal | sistemas agrícolas | en_US |
| dc.subject.proposal | drones | en_US |
| dc.subject.proposal | agricultura eficiente | en_US |
| dc.subject.proposal | sostenibilidad | en_US |
| dc.subject.proposal | tecnología 5G | en_US |
| dc.subject.keywords | agricultural systems | en_US |
| dc.subject.keywords | drones | en_US |
| dc.subject.keywords | efficient agriculture | en_US |
| dc.subject.keywords | sustainability | en_US |
| dc.subject.keywords | 5G technology | en_US |
| dc.publisher.faculty | Facultad ingenierías | en_US |
| dc.type.redcol | http://purl.org/redcol/resource_type/ARTDIV | en_US |
| dc.relation.references | ] J. Guaman’Quiche, E. Guaman-Quinche, H. Torres-Carrion, W. ChambaZaragocin, and F. Alvarez-Pineda, “Study of routing protocols used in sensor networks for forest fire detection,” in 2020 15th Iberian Conference on Information Systems and Technologies (CISTI), IEEE, Jun. 2020, pp. 1–6. doi: 10.23919/CISTI49556.2020.9140900. | en_US |
| dc.relation.references | M. A. Zafra-Aycardi, D. Rico-Bautista, D. A. Mejía-Bugallo, and J. A. Sequeda-Serrano, “The Internet of Things as a Technological Tool and Its Application in the Management and Control of Data for Agriculture 4.0,” SN Comput Sci, vol. 5, no. 1, p. 56, Dec. 2023, doi: 10.1007/s42979-023- 02428-2. | en_US |
| dc.relation.references | ] Z. Zhu, Y. Bai, W. Dai, D. Liu, and Y. Hu, “Quality of e-commerce agricultural products and the safety of the ecological environment of the origin based on 5G Internet of Things technology,” Environ Technol Innov, vol. 22, p. 101462, May 2021, doi: 10.1016/j.eti.2021.101462. | en_US |
| dc.relation.references | I. F. Akyildiz, S. Nie, S.-C. Lin, and M. Chandrasekaran, “5G roadmap: 10 key enabling technologies,” Computer Networks, vol. 106, pp. 17–48, Sep. 2016, doi: 10.1016/j.comnet.2016.06.010. | en_US |
| dc.relation.references | F. Gutiérrez-portela, F. Almenárez-mendoza, and L. Calderón-benavides, “Security prospective of wireless sensor networks Prospectiva de seguridad de las redes de sensores inalámbricos,” Revista UIS Ingenierías, vol. 20, no. 3, pp. 189–201, 2021, doi: 10.18273/revuin.v20n3-2021014. | en_US |
| dc.relation.references | ] R. De Fazio, L. M. Dinoi, M. De Vittorio, and P. Visconti, “A Sensor-Based Drone for Pollutants Detection in Eco-Friendly Cities: Hardware Design and Data Analysis Application,” Electronics (Basel), vol. 11, no. 1, p. 52, Dec. 2021, doi: 10.3390/electronics11010052. | en_US |
| dc.relation.references | L. Romero Amondaray, F. J. Artigas Fuentes, and C. A. Calderón, “Redes de Sensores Inalámbricos Definidas por Software: revisión del estado del arte,” Revista Ingeniería Electrónica, Automática y Comunicaciones ISSN: 1815-5928, vol. 41, no. 2, pp. 39–50, 2020. | en_US |
| dc.relation.references | ] Liladhar Rane Nitin and Choudhary Saurabh P., “REMOTE SENSING (RS), UAV/DRONES, AND MACHINE LEARNING (ML) AS POWERFUL TECHNIQUES FOR PRECISION AGRICULTURE: EFFECTIVE APPLICATIONS IN AGRICULTURE,” International Research Journal of Modernization in Engineering Technology and Science, Apr. 2023, doi: 10.56726/IRJMETS36817. | en_US |
| dc.relation.references | E. Romero-Riaño, C. Galeano-Barrera, C. D. Guerrero, M. Martinez-Toro, and D. Rico-Bautista, “IoT applied to irrigation systems in agriculture: A usability analysis,” Revista Colombiana de Computación, vol. 23, no. 1, pp. 44–52, Jun. 2022, doi: 10.29375/25392115.4483. | en_US |
| dc.relation.references | J. A. Parra Valencia, C. D. Guerrero, and D. Rico Bautista, “IOT: una aproximación desde ciudad inteligente a universidad inteligente,” Revista Ingenio, vol. 13, no. 1, pp. 9–20, Jun. 2017, doi: 10.22463/2011642X.2128. | en_US |
| dc.relation.references | ]D. Rico-Bautista, E. Barrientos-Avendaño, F. R. Cuesta-Quintero, L. A. Coronel-Rojas, J. Trillos-Arenas, and D. Hernadez-Villamizar, “Mobile application for the optimization of milk production and goat feeding processes: Experimental farm of Universidad Francisco de Paula Santander, Ocaña, Colombia,” J Phys Conf Ser, vol. 1388, p. 012028, Nov. 2019, doi: 10.1088/1742-6596/1388/1/012028. | en_US |
| dc.relation.references | E. Pino V., “Los drones una herramienta para una agricultura eficiente: un futuro de alta tecnología,” Idesia (Arica), no. ahead, pp. 0–0, 2019, doi: 10.4067/S0718-34292019005000402. | en_US |
| dc.relation.references | ]E. Barrientos-Avendaño, D. Rico-Bautista, L. A. Coronel-Rojas, and F. R. Cuesta-Quintero, “Smart farm: Defining of infrastructure based on internet of things, IpV6 and software defined networks [Granja inteligente: Definición de infraestructura basada en internet de las cosas, IpV6 y redes definidas por software],” RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao, no. E17, pp. 183–197, 2019, [Online]. Available: https://www.scopus.com/inward/record.uri?eid=2-s2.0- 85061174873&partnerID=40&md5=ac38dc2b5b0d67edae2c307fe67f26e 3 | en_US |
| dc.relation.references | M. C. Sánchez-Velasquez, J. A. Rodríguez-Rodríguez, L. A. CoronelRojas, and D. Rico-Bautista, “Livestock Control: Mobile application to manage cow milk production information applied to the UFPSO farm,” RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao, vol. 2022, no. E49, 2022. | en_US |
| dc.relation.references | ]T. Dyba, T. Dingsoyr, and G. K. Hanssen, “Applying Systematic Reviews to Diverse Study Types: An Experience Report,” in First International Symposium on Empirical Software Engineering and Measurement (ESEM 2007), IEEE, Sep. 2007, pp. 225–234. doi: 10.1109/ESEM.2007.59. | en_US |
| dc.relation.references | ]K. Petersen, S. Vakkalanka, and L. Kuzniarz, “Guidelines for conducting systematic mapping studies in software engineering: An update,” Inf Softw Technol, vol. 64, pp. 1–18, Aug. 2015, doi: 10.1016/j.infsof.2015.03.007. | en_US |
| dc.relation.references | ]K. Petersen, R. Feldt, S. Mujtaba, and M. Mattsson, “Systematic Mapping Studies in Software Engineering,” Jun. 2008. doi: 10.14236/ewic/EASE2008.8. | en_US |
| dc.relation.references | ]K. Ocampo-Zuleta and J. Beltrán-Vargas, “Modelación Dinámica de incendios forestales en los Cerros Orientales de Bogotá, Colombia,” Madera y Bosques, vol. 24, no. 3, Nov. 2018, doi: 10.21829/myb.2018.2431662 | en_US |
| dc.relation.references | ]I. González-Gutiérrez, J. F. Mas-Caussel, L. M. Morales-Manilla, and K. A. Oceguera-Salazar, “Thematic accuracy of hotspots and wildfires in Michoacán, Mexico,” Revistas Chapingo Serie Ciencias Forestales y del Ambiente, vol. 26, no. 1, pp. 17–35, Dec. 2019, doi: 10.5154/r.rchscfa.2019.01.011. | en_US |
| dc.relation.references | A. S. A. Ghafar, S. S. H. Hajjaj, K. R. Gsangaya, M. T. H. Sultan, M. F. Mail, and L. S. Hua, “Design and development of a robot for spraying fertilizers and pesticides for agriculture,” Mater Today Proc, vol. 81, pp. 242–248, 2023, doi: 10.1016/j.matpr.2021.03.174. | en_US |
| dc.relation.references | ]F. Kasmi, “Industrial Symbiosis and Territorial Development: The CrossFertilization of Proximity Dynamics and the Role of Information and Knowledge Flows,” Journal of the Knowledge Economy, 2020, doi: 10.1007/s13132-020-00631-7. | en_US |
| dc.relation.references | ]R. Eaton, J. Katupitiya, K. W. Siew, and K. S. Dang, “Precision Guidance of Agricultural Tractors for Autonomous Farming,” in 2008 2nd Annual IEEE Systems Conference, IEEE, Apr. 2008, pp. 1–8. doi: 10.1109/SYSTEMS.2008.4519026. | en_US |
| dc.relation.references | K. Foughali, K. Fathallah, and A. Frihida, “Using Cloud IOT for disease prevention in precision agriculture,” Procedia Comput Sci, vol. 130, pp. 575–582, 2018, doi: 10.1016/j.procs.2018.04.106. | en_US |
| dc.relation.references | ]M. Srbinovska, C. Gavrovski, V. Dimcev, A. Krkoleva, and V. Borozan, “Environmental parameters monitoring in precision agriculture using wireless sensor networks,” J Clean Prod, vol. 88, pp. 297–307, Feb. 2015, doi: 10.1016/j.jclepro.2014.04.036 | en_US |
| dc.relation.references | M. A. Zaidan et al., “Intelligent Calibration and Virtual Sensing for Integrated Low-Cost Air Quality Sensors,” IEEE Sens J, vol. 20, no. 22, pp. 13638–13652, Nov. 2020, doi: 10.1109/JSEN.2020.3010316. | en_US |
| dc.relation.references | N. H. Motlagh et al., “Transit pollution exposure monitoring using low-cost wearable sensors,” Transp Res D Transp Environ, vol. 98, p. 102981, Sep. 2021, doi: 10.1016/j.trd.2021.102981. | en_US |
| dc.relation.references | F. Carotenuto et al., “Long-Term Performance Assessment of Low-Cost Atmospheric Sensors in the Arctic Environment,” Sensors, vol. 20, no. 7, p. 1919, Mar. 2020, doi: 10.3390/s20071919. | en_US |
| dc.relation.references | L. Z. Chang Xu, Junqi Ding, Yan Qiao, “Tomato disease and pest diagnosis method based on the Stacking of prescription data,” Comput Electron Agric, 2022, doi: 10.1016/j.compag.2022.106997. | en_US |
| dc.relation.references | A. González, G. Amarillo, M. Amarillo, and F. Sarmiento, “Drones Aplicados a la Agricultura de Precisión,” Publicaciones e Investigación, vol. 10, p. 23, Mar. 2016, doi: 10.22490/25394088.1585. | en_US |
| dc.relation.references | A. Torres-Rua, A. Ticlavilca, R. Bachour, and M. McKee, “Estimation of Surface Soil Moisture in Irrigated Lands by Assimilation of Landsat Vegetation Indices, Surface Energy Balance Products, and Relevance Vector Machines,” Water (Basel), vol. 8, no. 4, p. 167, Apr. 2016, doi: 10.3390/w8040167. | en_US |
| dc.relation.references | N. Ohana-Levi et al., “Using Satellite Thermal-Based Evapotranspiration Time Series for Defining Management Zones and Spatial Association to Local Attributes in a Vineyard,” Remote Sens (Basel), vol. 12, no. 15, p. 2436, Jul. 2020, doi: 10.3390/rs12152436. | en_US |
| dc.relation.references | ]T. Martin, P. Gasselin, N. Hostiou, G. Feron, L. Laurens, and F. Purseigle, “Robots and Transformations of Work on Farms: A Systematic Review,” Agron Sustain Dev, pp. 42–66, Mar. 2021, doi: 10.15454/2DWM-X990. | en_US |
| dc.relation.references | M. Butturini and L. F. M. Marcelis, “Vertical farming in Europe: Present status and outlook,” in Plant Factory: An Indoor Vertical Farming System for Efficient Quality Food Production: Second Edition, Academic Press, 2020, pp. 77–91. doi: 10.1016/B978-0-12-816691-8.00004-2. | en_US |
Ficheros en el ítem
Este ítem aparece en la(s) siguiente(s) colección(ones)
-
Artículos [65]



