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A Scalable Smart Greenhouse Design For Mongolian Familiesopen access

Authors
김동환서덕영
Issue Date
Dec-2022
Publisher
적정기술학회
Keywords
Smart greenhouse; Sensors; Actuators; Embedded systems; Linux; IoT edge devices; Cloud computing; Storage; Reinforcement learning; Remote monitoring and logging
Citation
적정기술학회지(Journal of Appropriate Technology), v.8, no.3, pp 133 - 143
Pages
11
Indexed
KCICANDI
Journal Title
적정기술학회지(Journal of Appropriate Technology)
Volume
8
Number
3
Start Page
133
End Page
143
URI
https://scholarworks.dongguk.edu/handle/sw.dongguk/22333
DOI
10.37675/jat.2022.00220
ISSN
2465-9169
2765-6551
Abstract
Life expectancy in Mongolia is male 63.8 and female 72.8. Total life expectancy is 68.1, which gives Mongolia a World Life Expectancy ranking of 132 in the WHO 2022 report. The number one reason for the mission of Mongolians is cardiovascular disease, which is closely related to their diet. The staple food of Mongolians is meat. The annual vegetable consumption of Mongolians announced by the UN in 2017 was 47.31 kg, far below the average value of 250 kg in developed countries. This paper proposes a smart greenhouse for families where Mongolian families can grow vegetables at home. This paper presents a smart home greenhouse that meets the environmental characteristics and requirements of the Mongolian region. We manage sensors and actuators through the Raspberry Pi platform to provide an environment necessary for cultivation. It describes the architecture of an integrated management system that stores sensor data in the cloud system's storage, apply reinforcement learning, and controls the operating point of the smart greenhouse. It describes how to manage the system internally using three layers, the physical layer, the embedded OS layer, and the application layer, and to communicate with the cloud through the IoT edge manager.
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