Systematic review on sustainable management of natural resources with smart technologies for food production
Introduction: The environmental problems related to global warming, climate change, and alterations in natural resources deepen the food supply worldwide, so the applicability of cutting-edge digital technology raises viable alternatives for the transformation of the agricultural sector with generative, resilient, sustainable and adaptive practices to meet the challenges of food insecurity and malnutrition. Based on the applicability of intelligent technologies in production processes, processing, conservation, monitoring, simulation, modeling, and management of natural resources to ensure the goal of sustainable development and zero hunger. Therefore, the object of analysis of the bibliometric review on the sustainable management of natural resources with smart technologies for food production was raised, for which the main databases Scopus, IEEE Eplore, MDPI, and Springer were explored, during a period of six years, with the use of the methodology (PRISMA, 2020). To conclude, it is concluded that the incorporation of smart technologies such as industry 4.0, 5.0, IoT, AI, robotics, smart irrigation, satellite imagery, simulation, autonomous learning Big Data, blockchain that allow ensuring healthy, nutritious and sustainable food
Authors
- Diego Iván Cajamarca Carrazco (ORCID: https://orcid.org/0000-0001-6619-0490)
- Eleonora Melissa Layana Bajaña (ORCID: https://orcid.org/0000-0002-1573-9823)
- María Magdalena Paredes Godoy (ORCID: https://orcid.org/0000-0002-8211-0400)
- Edwin Rogelio Guanga Casco (ORCID: https://orcid.org/0000-0003-0147-3363)
- Santiago Mauricio Salazar-Torres (ORCID: https://orcid.org/0000-0001-7439-3722)
- Winston Fernando Zamora Burbano (ORCID: https://orcid.org/0009-0000-6921-1664)
- Danny Josue Montalvo Zambrano
Institutions
- Universidad Técnica del Norte (EC)
- Escuela Superior Politécnica del Chimborazo (EC)
- Universidad Nacional de Chimborazo (EC)
Publication Details
- Journal
- Data & Metadata
- Published
- 2024-11-07
- DOI
- https://doi.org/10.56294/dm2025384
- Primary Topic
- Internet of Things and AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00