Design on a Low Cost IoT Architecture for Greenhouses  Monitoring

Ruiz-Ortega, Javier; Rebollar, Alicia Martínez; Flores-Prieto, J. J.; Estrada-Esquivel, Hugo

doi:10.13053/cys-26-1-4166

Cited by 2 publications

(4 citation statements)

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“…The results obtained in quantitative approach are based on experimental applications [17] , [18], [19] and [22] agree on the research on the implementation of sensor design for automating irrigation in agriculture.…”

Section: Discussionsupporting

confidence: 74%

“…First, according to the quantitative approach, researchers [17], [18], [19], [22] and [30] contributed to the design of IoT architecture. While [20], [21] and [23] were assessments of data communications on water and energy consumption within agriculture.…”

Section: Results Of Individual Studiesmentioning

confidence: 99%

“…▪ In Dimension 1 As stated, [17], [19] and [22] researched IoT architecture through wireless sensors while [18] researched on irrigation control. In the same way [20], [21] and [23] dealt with evaluation of water and electricity consumption, performance of communication systems and performance of a greenhouse.…”

Section: Results Of Individual Studiesmentioning

confidence: 99%

“…According to [17] and [22] they dealt with monitoring the environmental variables of the crop. [18], [19], [20], [23] and [30] | discussed water management through IoT in agriculture; while [21] studied IoT communications systems considering metrics such as transmission rate, packet collisions and energy consumption.…”

Section: ▪ In Dimensionmentioning

confidence: 99%

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

Cornejo-Olivares,

Contreras-Cossio,

Hoyos-Rivas

et al. 2023

Proceedings of the 21th LACCEI International Multi-Conference for Engineering, Education and Technology (LACCEI 2023): “Leaders

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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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Section: Discussionsupporting

confidence: 74%