Estado del Arte de las Herramientas Agrotecnológicas en el Sistema Agrícola Arrocero
The article explores the use of agrotechnological tools for sustainable soil management in the rice agricultural sector, highlighting the relevance of rice as a staple food for more than one third of the world's population, with one of the largest rice consumers in Latin America. Through a descriptive review, state-of-the-art information on technologies that optimize rice production and promote sustainable land use practices is compiled. Using the PICOP (Population, Intervention, Comparison, Outcome, and Context) framework to define search terms and select relevant publications since 2016, theses and web publications are excluded, and scientific databases such as, Scopus, Web of Science and Google Scholar are resorted to, applying specific combinations of terms related to soil management and agricultural technology. The results address the need for automation in agriculture to improve production efficiency and plant health. Highlighting advanced technologies and software that enable farmers to make informed decisions about soil management and crop nutrition. The most developed digital solutions include robotics, the Internet of Things (IoT), GPS, GIS and Machine Learning, as well as specialized software that provides nutritional plans and fertilization recommendations based on detailed analysis of the soil and crop health. The most developed digital solutions include robotics, the Internet of Things (IoT), GPS, GIS and Machine Learning, as well as specialized software that provides nutritional plans and fertilization recommendations based on detailed soil analysis. The article emphasizes how the integration of technology in agriculture not only increases productivity and profitability, but also supports environmental sustainability. It concludes by highlighting the importance of continuing to evaluate and optimize these technologies to make them accessible and economically viable for farmers, especially in developing regions, emphasizing the need to continue adapting and improving these tools to maximize their benefits in global agriculture.
Authors
- Ibonne Geaneth Valenzuela-Balcázar (ORCID: https://orcid.org/0000-0002-1173-3133)
- N Leal (ORCID: https://orcid.org/0000-0002-0713-4832)
- Claudia Yamile Gómez-Llanez (ORCID: https://orcid.org/0000-0002-8529-5869)
Institutions
- Francisco de Paula Santander University (CO)
Publication Details
- Journal
- Mundo FESC
- Published
- 2025-05-01
- DOI
- https://doi.org/10.61799/2216-0388.1664
- Primary Topic
- Smart Agriculture and AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00