IoT application technologies for agriculture in Latin America during the COVID-19 pandemic

Cornejo-Olivares L.; Contreras-Cossio J.; Hoyos-Rivas F.; Segura-Villarreal C.; Gutierrez-Pinta E.; Chavez-Sanchez W.; Grados J. · Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology (2023)

Resumen

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.

Instituciones: Universidad Nacional del Callao