Application of diverse technologies in agriculture

Technologies in agriculture

Authors

DOI:

https://doi.org/10.29105/idcyta.v11i1.140

Keywords:

Sensors, Automation, Precision, Artificial intelligence, Emerging technologies

Abstract

The rapid growth of the global population, along with environmental degradation, poses urgent challenges for agricultural production. It is estimated that by the year 2040, the global population will exceed 9 billion, significantly increasing the demand for food. In this context, the incorporation of innovative technologies in agriculture emerges as a key solution to ensure food security and the sustainability of production systems. This article explores the impact of tools such as artificial intelligence, robotics, smart sensors, and precision agriculture in transforming the agricultural sector. Through a literature review, the benefits of these technologies are analyzed in terms of improving productivity, managing climate-related risks, and predicting pests and crop yields. The results show that the strategic use of new technologies can increase the resilience and efficiency of agricultural systems, representing a crucial pathway toward smarter and more sustainable agriculture. The search for information was conducted using Google Scholar databases with documents in Spanish and English, focusing on the keywords “agriculture” and “technology”.

Downloads

Download data is not yet available.

References

Ashraf, A., Ahmad, L., Ferooz, K., Ramzan, S., Ashraf, I., Khan, J. N., Shehnaz, E., Ul-Shafiq, M., Akhter, S., & Nabi, A. (2023). Remote sensing as a management and monitoring tool for agriculture: potential applications. International Journal of Environment and Climate Change, 13(8), 324–343. https://doi.org/10.9734/ijecc/2023/v13i81957 DOI: https://doi.org/10.9734/ijecc/2023/v13i81957

Avola, G., Distefano, M., Torrisi, A., & Riggi, E. (2024). Precision agriculture and patented innovation: State of the art and current trends. World Patent Information, 76, 102262. DOI: https://doi.org/10.1016/j.wpi.2024.102262

Cob-Parro, A. C., Lalangui, Y., & Lazcano, R. (2024). Fostering agricultural transformation through AI: an open-source AI architecture exploiting the MLOps paradigm. Agronomy, 14(2), 259. https://doi.org/10.3390/agronomy14020259 DOI: https://doi.org/10.3390/agronomy14020259

Gastesi, J. A., Mora, F. C., Villalva, J. G., & Litardo, R. M. (2024). Manejo integrado de cultivos y desarrollo sostenible. Magazine de Las Ciencias: Revista de Investigación e Innovación, 9(1), 22–35. https://doi.org/10.33262/rmc.v9i1.3049 DOI: https://doi.org/10.33262/rmc.v9i1.3049

Glackin, M. (2019). Mejora de la predicción: el valor del conocimiento meteorológico sustentado en datos y en la colaboración pública y privada. Boletín de la OMM. 68(1), 59- 63.

Guevara-Reyes, R. J., Mendoza-Cela, J. U. R., Guerra-Triviño, O. L., & Villamar-Piguave, W. G. (2024). Avances actuales de la tecnología y su impacto en con el medio ambiente. MQRInvestigar, 8(4), 4289–4300. https://doi.org/10.56048/MQR20225.8.4.2024.4289-4300 DOI: https://doi.org/10.56048/MQR20225.8.4.2024.4289-4300

Kamilaris, A., & Prenafeta-Boldú, F. X. (2018). Deep learning in agriculture: A survey. Computers and Electronics in Agriculture, 147(1), 70–90. https://doi.org/10.1016/j.compag.2018.02.016 DOI: https://doi.org/10.1016/j.compag.2018.02.016

Lascano, T. B. (2026). Fusión de IA, IoT y Big Data para Superar la Brecha de Interoperabilidad en Latinoamérica. Arandu UTIC, 13(1), 638–650. https://doi.org/10.69639/arandu.v13i1.1937 DOI: https://doi.org/10.69639/arandu.v13i1.1937

Liu, Y., Ma, X., Shu, L., Hancke, G. P., & Abu-Mahfouz, A. M. (2020). From industry 4.0 to agriculture 4.0: Current status, enabling technologies, and research challenges. IEEE Transactions on Industrial Informatics, 17(6), 4322–4334. https://doi.org/10.1109/TII.2020.3003910 DOI: https://doi.org/10.1109/TII.2020.3003910

Nonvide, G. M. A. (2024). Impact of irrigation on food and nutrition security among rice farmers in Benin. The European Journal of Development Research, 36(6), 1343–1371. https://doi.org/10.1057/s41287-024-00638-9 DOI: https://doi.org/10.1057/s41287-024-00638-9

Nowak, B. (2021). Precision agriculture: Where do we stand? A review of the adoption of precision agriculture technologies on field crops farms in developed countries. Agricultural Research, 10(4), 515–522. https://doi.org/10.1007/s40003-021-00539-x DOI: https://doi.org/10.1007/s40003-021-00539-x

Oyakhilomen, O., & Zibah, R. G. (2014). Agricultural production and economic growth in Nigeria: Implication for rural poverty alleviation. Quarterly Journal of International Agriculture, 53(3), 207–223.

Ozdogan, B., Gacar, A., & Aktas, H. (2017). Digital agriculture practices in the context of agriculture 4.0. Journal of Economics Finance and Accounting, 4(2), 186–193. https://doi.org/10.17261/Pressacademia.2017.448 DOI: https://doi.org/10.17261/Pressacademia.2017.448

Qiao, Y., Valente, J., Su, D., Zhang, Z., & He, D. (2022). AI, sensors and robotics in plant phenotyping and precision agriculture. Frontiers in Plant Science. 13: 1064219. https://doi.org/10.3389/fpls.2022.1064219 DOI: https://doi.org/10.3389/fpls.2022.1064219

Sujawat, G. S., & Chouhan, J. S. (2021). Application of artificial intelligence in detection of diseases in plants: a survey. Turkish Journal of Computer and Mathematics Education, 12(3), 3301–3305. https://doi.org/10.17762/turcomat.v12i3.1581 DOI: https://doi.org/10.17762/turcomat.v12i3.1581

Trigo, E. J., & Elverdin, P. (2020). Los Sistemas de Investigación y Transferencia de Tecnología Agropecuaria de América Latina y el Caribe en el marco de los nuevos Escenarios de Ciencia y Tecnología. Revista Compromiso Social, 1(3), 116–127. https://doi.org/10.5377/recoso.v2i3.13437 DOI: https://doi.org/10.5377/recoso.v2i3.13437

FAO, IFAD, UNICEF, WFP and WHO. 2024. The State of Food Security and Nutrition in the World 2024 – Financing to end hunger, food insecurity and malnutrition in all its forms. Rome. https://doi.org/10.4060/cd1254en DOI: https://doi.org/10.4060/cd1254en

Zambrano, Á. L. (2020). Agricultura digital en el cultivo de Pitahaya. Latin-American Journal of Computing, 7(2), 22–33.

Downloads

Published

2026-05-07

How to Cite

García-Hernández , D. G., Ballesteros-Torres , J. M., Torres-Cruz, J. C., Lugo-Urbina, S., Lugo-Sánchez, M. A., Lugo-Briones, C. M., … Elizondo-Luevano, J. H. (2026). Application of diverse technologies in agriculture: Technologies in agriculture. Revista Investigación Y Desarrollo En Ciencia Y Tecnología De Alimentos, 11(1), 24–29. https://doi.org/10.29105/idcyta.v11i1.140

Issue

Vol. 11 No. 1 (2026): Número 1, 2026

Section

Articles

License

Copyright (c) 2026 Dr. David G. García-Hernández, Dr. Juan M. Ballesteros-Torres, M.C. Juan C. Torres-Cruz, M.C. Sergio Lugo-Urbina, M.C. Marisa A. Lugo-Sánchez, M.C. Carmina M. Lugo-Briones, M.C. Nancy M. Castillo-Ojeda, Cindy J. Caballero-Prado, Dr. Joel H. Elizondo-Luévano

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Los autores/as que publiquen en esta revista aceptan las siguientes condiciones:
a. Los autores/as conservarán sus derechos de autor y garantizarán a la revista el derecho de primera publicación de su obra, el cual estará simultáneamente sujeto a la Licencia Creative Commons Atribución 4.0 Internacional. que permite a terceros compartir la obra siempre que se indique su autor y su primera publicación esta revista.
b. Los autores/as pueden realizar otros acuerdos contractuales independientes y adicionales para la distribución no exclusiva de la versión del artículo publicado en esta revista (p. ej., incluirlo en un repositorio institucional o publicarlo en un libro) siempre que indiquen claramente que el trabajo se publicó por primera vez en esta revista.
c. Se permite y recomienda a los autores/as a publicar su trabajo en Internet (por ejemplo en páginas institucionales o personales) posterior  al proceso de revisión y publicación, ya que puede conducir a intercambios productivos y a una mayor y más rápida difusión del trabajo publicado.