IoT application technologies for agriculture in Latin America during the COVID-19 pandemic
- Luis Cornejo-Olivares,
- ,
- Fernando Hoyos-Rivas,
- Carlos Segura-Villarreal,
- Ernesto Gutierrez-Pinta,
- Wilmer Chavez-Sanchez
- Universidad Nacional del Callao
Publication Information
Output type
Host publication Subtitle
Leadership in Education and Innovation in Engineering in the Framework of Global Transformations: Integration and Alliances for Integral Development, LACCEI 2023Original language
EnglishPublication milestones
- Published - 2023
Publication status
Publisher
Latin American and Caribbean Consortium of Engineering InstitutionsPublication series
- Publication series name: Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
ISSN (Electronic): 2414-6390
Volume: 2023-July
ISBN (Electronic)
9786289520743Publication IDs
- Scopus: 85172371028
Host publication title
Proceedings of the 21st LACCEI International Multi-Conference for Engineering, Education and TechnologyHost publication editors
- Maria M. Larrondo Petrie
- Jose Texier
- Rodolfo Andres Rivas Matta
Abstract
IoT digitizes any plant of agricultural processes simplifying the activities; producing products of higher quality in a set period and optimizing automatic irrigation systems. Evaluate IoT application technologies for Latin American agriculture during the COVID-19 pandemic, through systematic search engine database vision; obtaining 78 publications between 2019 and 2022, considering 14 studies by inclusion criteria of methodological heterogeneity. The main IoT application technologies for smart agriculture: according to the quantitative approach in dimension 1; 3 articles contribute to architecture and 1 to irrigation control; while in dimension 2; 2 articles contribute to environmental monitoring and 4 to efficient water management; the same in qualitative approach in dimension 1; 2 articles show trends of the industrial revolution in food, 2 in automation architecture and 2 in the intelligent decision by artificial vision; also in dimension 2; 2 articles studied trends of industrial revolution 4.0 and 4 intelligent precision agriculture and computer vision. Therefore, quantitative studies were based on experimental applications of data architecture design to optimize water consumption according to environmental conditions; reviewing in qualitative approach trend documents of the Industrial Revolution 4.0 applying artificial vision.
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Sustainable Development Goals
- SDG 6 Clean Water and Sanitation
