Agricultura de precisión y sostenibilidad: innovaciones tecnológicas aplicadas al manejo integrado de plagas

Este trabajo analiza el papel de la agricultura de precisión como herramienta clave para fortalecer la sostenibilidad ambiental y la seguridad alimentaria. Se abordan tecnologías como sensores de suelo, drones, GPS e Internet de las Cosas, las cuales permiten el monitoreo en tiempo real y una gestió...

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Fecha de publicación:
2026
Institución:
Universidad de Caldas
Repositorio:
Repositorio Institucional U. Caldas
Idioma:
spa
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oai:repositorio.ucaldas.edu.co:ucaldas/26883
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https://repositorio.ucaldas.edu.co/handle/ucaldas/26883
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630 - Agricultura y tecnologías relacionadas
4. Ciencias Agrícolas
Agricultura de precisión
Sostenibilidad ambiental
Seguridad alimentaria
Internet de las cosas
GPS
Drones
Agronomía
Desarrollo sostenible
Control de plagas
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https://creativecommons.org/licenses/by/4.0/
id REPOUCALDA_026306fed6783a2ba9aab01f2745e012
oai_identifier_str oai:repositorio.ucaldas.edu.co:ucaldas/26883
network_acronym_str REPOUCALDA
network_name_str Repositorio Institucional U. Caldas
repository_id_str
dc.title.none.fl_str_mv Agricultura de precisión y sostenibilidad: innovaciones tecnológicas aplicadas al manejo integrado de plagas
title Agricultura de precisión y sostenibilidad: innovaciones tecnológicas aplicadas al manejo integrado de plagas
spellingShingle Agricultura de precisión y sostenibilidad: innovaciones tecnológicas aplicadas al manejo integrado de plagas
630 - Agricultura y tecnologías relacionadas
4. Ciencias Agrícolas
Agricultura de precisión
Sostenibilidad ambiental
Seguridad alimentaria
Internet de las cosas
GPS
Drones
Agronomía
Desarrollo sostenible
Control de plagas
title_short Agricultura de precisión y sostenibilidad: innovaciones tecnológicas aplicadas al manejo integrado de plagas
title_full Agricultura de precisión y sostenibilidad: innovaciones tecnológicas aplicadas al manejo integrado de plagas
title_fullStr Agricultura de precisión y sostenibilidad: innovaciones tecnológicas aplicadas al manejo integrado de plagas
title_full_unstemmed Agricultura de precisión y sostenibilidad: innovaciones tecnológicas aplicadas al manejo integrado de plagas
title_sort Agricultura de precisión y sostenibilidad: innovaciones tecnológicas aplicadas al manejo integrado de plagas
dc.contributor.none.fl_str_mv Hernández Jorge, Freddy Eliseo
ASPA: Análisis en Sistemas de Producción Agropecuaria (Categoría C)
Mejia Jimenez Joaquin Emilio
dc.subject.none.fl_str_mv 630 - Agricultura y tecnologías relacionadas
4. Ciencias Agrícolas
Agricultura de precisión
Sostenibilidad ambiental
Seguridad alimentaria
Internet de las cosas
GPS
Drones
Agronomía
Desarrollo sostenible
Control de plagas
topic 630 - Agricultura y tecnologías relacionadas
4. Ciencias Agrícolas
Agricultura de precisión
Sostenibilidad ambiental
Seguridad alimentaria
Internet de las cosas
GPS
Drones
Agronomía
Desarrollo sostenible
Control de plagas
description Este trabajo analiza el papel de la agricultura de precisión como herramienta clave para fortalecer la sostenibilidad ambiental y la seguridad alimentaria. Se abordan tecnologías como sensores de suelo, drones, GPS e Internet de las Cosas, las cuales permiten el monitoreo en tiempo real y una gestión más eficiente de los cultivos. A partir de la revisión de diversos estudios, se evidencia que estas herramientas optimizan el uso de recursos como agua, fertilizantes y agroquímicos, reduciendo impactos ambientales y costos de producción. Además, mejoran la toma de decisiones al permitir detectar de manera temprana problemas nutricionales, hídricos y sanitarios en los cultivos. Asimismo, se presentan casos aplicados que demuestran cómo la implementación de estas tecnologías incrementa la productividad, mejora la calidad de los alimentos y fortalece la estabilidad de los sistemas agrícolas. En conjunto, la agricultura de precisión se posiciona como una estrategia fundamental para enfrentar los desafíos del cambio climático y garantizar la producción sostenible de alimentos.
publishDate 2026
dc.date.none.fl_str_mv 2026-04-23T13:55:06Z
2026-04-23T13:55:06Z
2026-04-20
dc.type.none.fl_str_mv Trabajo de grado - Pregrado
http://purl.org/coar/resource_type/c_7a1f
Text
info:eu-repo/semantics/bachelorThesis
dc.identifier.none.fl_str_mv https://repositorio.ucaldas.edu.co/handle/ucaldas/26883
Universidad de Caldas
Repositorio Institucional Universidad de Caldas
repositorio.ucaldas.edu.co
url https://repositorio.ucaldas.edu.co/handle/ucaldas/26883
identifier_str_mv Universidad de Caldas
Repositorio Institucional Universidad de Caldas
repositorio.ucaldas.edu.co
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv Alves, R. F. Q., Silva, J. E., Orlando Costa Barboza, T., Ferraz, M. A. J., Costa, O. P. da, Silva, W. H. B. da, Inácio, F. D., Oliveira, L. P. de, Melo, C. A. D., & Santos, A. F. dos. (2025). Comparison of volumetric distribution in drone spraying considering height, application volume, and nozzle type. AgriEngineering, 7(4), 123. https://doi.org/10.3390/agriengineering7040123
Avhale, V. R., Senthil Kumar, G., Kumaraperumal, R., Prabukumar, G., Bharathi, C., Sathya Priya, R., Yuvaraj, M., Muthumanickam, D., Parasuraman, P., & Pazhanivelan, S. (2025). AgriDrones: A holistic review on the integration of drones in Indian agriculture. Agricultural Research, 14(1), 34–46. https://doi.org/10.1007/s40003-024-00829-0
Balasundram, S. K., Shamshiri, R. R., Sridhara, S., & Rizan, N. (2023). The role of digital agriculture in mitigating climate change and ensuring food security: An overview. Sustainability, 15(6), 5325. https://doi.org/10.3390/su15065325
Behnassi, M., Qureshi, R. H., Al-Shaikh, A. A., Baig, M. B., & Faraj, T. K. A. (2024). Climate-smart and resilient food systems and security: Introduction. In Climate-Smart and Resilient Food Systems and Security (pp. 1–14). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-65968-3_1
Burner, N., Harris, D. K., & Li, Z. (2025). SHP Buddy: a QGIS plugin for generating shapefiles to support remote sensing in plant breeding and agronomic experiments. Plant Methods, 21(1), 17. https://doi.org/10.1186/s13007-025- 01336-1
Buyuktepe, O., Catal, C., Kar, G., Bouzembrak, Y., Marvin, H., & Gavai, A. (2025). Food fraud detection using explainable artificial intelligence. Expert Systems, 42(1). https://doi.org/10.1111/exsy.13387
Castaño Saenz, A. M. (2024). Repositorio Digital Universidad de Caldas. Repositorio Digital Universidad de Caldas. https://repositorio.ucaldas.edu.co/handle/ucaldas/21712
Duguma, A. L., & Bai, X. (2024). How the internet of things technology improves agricultural efficiency. Artificial Intelligence Review, 58(2). https://doi.org/10.1007/s10462-024-11046-0
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Gherțescu, C., Manta, A. G., & Bădîrcea, R. M. (2025). Smart agriculture and technological innovation: A bibliometric perspective on digital transformation and sustainability. Agriculture, 15(13), 1388. https://doi.org/10.3390/agriculture15131388
Kang, J., Wang, R., & Zhao, L. (2025). Deep learning-driven plant pathology assistant: Enabling visual diagnosis with AI-powered focus and remediation recommendations for precision agriculture. AgriEngineering, 7(11), 386. https://doi.org/10.3390/agriengineering7110386
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dc.rights.none.fl_str_mv https://creativecommons.org/licenses/by/4.0/
Atribución 4.0 Internacional (CC BY 4.0)
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0/
Atribución 4.0 Internacional (CC BY 4.0)
http://purl.org/coar/access_right/c_abf2
dc.format.none.fl_str_mv 20 páginas
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dc.publisher.none.fl_str_mv Universidad de Caldas
Facultad de Ciencias Agropecuarias
Colombia, Caldas, Manizales
Ingeniería Agronómica
publisher.none.fl_str_mv Universidad de Caldas
Facultad de Ciencias Agropecuarias
Colombia, Caldas, Manizales
Ingeniería Agronómica
institution Universidad de Caldas
repository.name.fl_str_mv
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spelling Agricultura de precisión y sostenibilidad: innovaciones tecnológicas aplicadas al manejo integrado de plagas630 - Agricultura y tecnologías relacionadas4. Ciencias AgrícolasAgricultura de precisiónSostenibilidad ambientalSeguridad alimentariaInternet de las cosasGPSDronesAgronomíaDesarrollo sostenibleControl de plagasEste trabajo analiza el papel de la agricultura de precisión como herramienta clave para fortalecer la sostenibilidad ambiental y la seguridad alimentaria. Se abordan tecnologías como sensores de suelo, drones, GPS e Internet de las Cosas, las cuales permiten el monitoreo en tiempo real y una gestión más eficiente de los cultivos. A partir de la revisión de diversos estudios, se evidencia que estas herramientas optimizan el uso de recursos como agua, fertilizantes y agroquímicos, reduciendo impactos ambientales y costos de producción. Además, mejoran la toma de decisiones al permitir detectar de manera temprana problemas nutricionales, hídricos y sanitarios en los cultivos. Asimismo, se presentan casos aplicados que demuestran cómo la implementación de estas tecnologías incrementa la productividad, mejora la calidad de los alimentos y fortalece la estabilidad de los sistemas agrícolas. En conjunto, la agricultura de precisión se posiciona como una estrategia fundamental para enfrentar los desafíos del cambio climático y garantizar la producción sostenible de alimentos.This study analyzes the role of precision agriculture as a key tool to enhance environmental sustainability and food security. It explores technologies such as soil sensors, drones, GPS, and the Internet of Things, which enable real-time monitoring and more efficient crop management. Based on the review of multiple studies, these tools are shown to optimize the use of resources such as water, fertilizers, and agrochemicals, reducing environmental impacts and production costs. They also improve decision-making by allowing early detection of nutritional, water, and sanitary issues in crops. Furthermore, practical case studies demonstrate how the implementation of these technologies increases productivity, improves food quality, and strengthens the stability of agricultural systems. Overall, precision agriculture emerges as a fundamental strategy to address climate change challenges and ensure sustainable food production.Introducción -- Capítulo 1. Agricultura de precisión -- Capítulo 2. Sostenibilidad ambiental -- Capítulo 3. Seguridad alimentaria -- Conclusión -- BibliografíaPregradoEl presente trabajo se desarrolló bajo un enfoque cualitativo de tipo descriptivo–analítico, basado en la revisión de literatura científica relacionada con la agricultura de precisión, la sostenibilidad ambiental y la seguridad alimentaria. Se realizó una búsqueda sistemática de información en bases de datos académicas como Scopus, ScienceDirect y Google Scholar, seleccionando artículos científicos, revisiones y documentos técnicos publicados en los últimos años. Los criterios de selección incluyeron relevancia temática, actualidad y rigor científico. Posteriormente, se llevó a cabo un análisis comparativo de los estudios seleccionados, identificando las principales tecnologías utilizadas en la agricultura de precisión, como sensores de suelo, drones, GPS e Internet de las Cosas, así como sus aplicaciones y beneficios en diferentes contextos agrícolas. Finalmente, se integraron los resultados en tres ejes principales: agricultura de precisión, sostenibilidad ambiental y seguridad alimentaria, permitiendo establecer relaciones entre estos conceptos y evidenciar el impacto de las tecnologías en la optimización de recursos, la reducción de impactos ambientales y el fortalecimiento de la producción alimentaria.Ingeniero(a) Agronómico(a)Agricultura de precisionUniversidad de CaldasFacultad de Ciencias AgropecuariasColombia, Caldas, ManizalesIngeniería AgronómicaHernández Jorge, Freddy EliseoASPA: Análisis en Sistemas de Producción Agropecuaria (Categoría C)Mejia Jimenez Joaquin EmilioMejia Jimenez, Joaquin Emilio2026-04-23T13:55:06Z2026-04-23T13:55:06Z2026-04-20Trabajo de grado - Pregradohttp://purl.org/coar/resource_type/c_7a1fTextinfo:eu-repo/semantics/bachelorThesis20 páginasapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttps://repositorio.ucaldas.edu.co/handle/ucaldas/26883Universidad de CaldasRepositorio Institucional Universidad de Caldasrepositorio.ucaldas.edu.cospaAlves, R. F. Q., Silva, J. E., Orlando Costa Barboza, T., Ferraz, M. A. J., Costa, O. P. da, Silva, W. H. B. da, Inácio, F. D., Oliveira, L. P. de, Melo, C. A. D., & Santos, A. F. dos. (2025). Comparison of volumetric distribution in drone spraying considering height, application volume, and nozzle type. AgriEngineering, 7(4), 123. https://doi.org/10.3390/agriengineering7040123Avhale, V. R., Senthil Kumar, G., Kumaraperumal, R., Prabukumar, G., Bharathi, C., Sathya Priya, R., Yuvaraj, M., Muthumanickam, D., Parasuraman, P., & Pazhanivelan, S. (2025). AgriDrones: A holistic review on the integration of drones in Indian agriculture. Agricultural Research, 14(1), 34–46. https://doi.org/10.1007/s40003-024-00829-0Balasundram, S. K., Shamshiri, R. R., Sridhara, S., & Rizan, N. (2023). The role of digital agriculture in mitigating climate change and ensuring food security: An overview. Sustainability, 15(6), 5325. https://doi.org/10.3390/su15065325Behnassi, M., Qureshi, R. H., Al-Shaikh, A. A., Baig, M. B., & Faraj, T. K. A. (2024). Climate-smart and resilient food systems and security: Introduction. In Climate-Smart and Resilient Food Systems and Security (pp. 1–14). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-65968-3_1Burner, N., Harris, D. K., & Li, Z. (2025). SHP Buddy: a QGIS plugin for generating shapefiles to support remote sensing in plant breeding and agronomic experiments. Plant Methods, 21(1), 17. https://doi.org/10.1186/s13007-025- 01336-1Buyuktepe, O., Catal, C., Kar, G., Bouzembrak, Y., Marvin, H., & Gavai, A. (2025). Food fraud detection using explainable artificial intelligence. Expert Systems, 42(1). https://doi.org/10.1111/exsy.13387Castaño Saenz, A. M. (2024). Repositorio Digital Universidad de Caldas. Repositorio Digital Universidad de Caldas. https://repositorio.ucaldas.edu.co/handle/ucaldas/21712Duguma, A. L., & Bai, X. (2024). How the internet of things technology improves agricultural efficiency. Artificial Intelligence Review, 58(2). https://doi.org/10.1007/s10462-024-11046-0Getahun, S., Kefale, H., & Gelaye, Y. (2024). Application of precision agriculture technologies for sustainable crop production and environmental sustainability: A systematic review. TheScientificWorldJournal, 2024, 2126734. https://doi.org/10.1155/2024/2126734Gherțescu, C., Manta, A. G., & Bădîrcea, R. M. (2025). Smart agriculture and technological innovation: A bibliometric perspective on digital transformation and sustainability. Agriculture, 15(13), 1388. https://doi.org/10.3390/agriculture15131388Kang, J., Wang, R., & Zhao, L. (2025). Deep learning-driven plant pathology assistant: Enabling visual diagnosis with AI-powered focus and remediation recommendations for precision agriculture. AgriEngineering, 7(11), 386. https://doi.org/10.3390/agriengineering7110386Kim, J., Lee, C., Park, J., Kim, N., Kim, S.-L., Baek, J., Chung, Y.-S., & Kim, K. (2023). 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