Implementation of docker-based smart greenhouse data analysis platform

Hyun, Wook; Huh, Mi Young; Park, Ju‐Young

doi:10.1109/ictc.2018.8539551

Cited by 2 publications

(2 citation statements)

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“…The system was also designed to automatically adjust the environment conditions if any of the predefined thresholds were exceeded, maintaining the ideal conditions for crops to grow quickly [7]. A docker-based data analysis platform was created and put into use; it could be installed easily, independent of the operating system underneath [8].…”

Section: Literature Review-mentioning

confidence: 99%

IoT based Automated Greenhouse

kumar,

2024

IJSREM

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The advent of the greenhouse as a sustainable form of smart agricultural farming present a best solution to address the challenges like food scarcity resulting from population growth, climate change and environment change. This method help in off-season crop cultivation even in severe climatic conditions within enclosed spaces. However, effective control and management of crop parameters within the greenhouse are essential. Leveraging advancements in the Internet of Things (IoT) introduces smart solutions for automating greenhouse farming parameters including plant monitoring, atmosphere control, and irrigation. The greenhouse is one of the growing technologies used for cultivation. This work proposes study of technologies used in the greenhouse for monitoring and control. This work analyses the different communication techniques used for monitoring the parameter of greenhouse using relays, sensors. With the help of Wi-Fi connectivity helps to analyse the real data over the cloud, real time working of the equipment. The advantage over the simple greenhouse so that the farmer can easily understand which technology suit the best. This also help farmer to adopt the best suited technique in greenhouse that are cost-friendly, easy to use, and have longer life. Keywords – IoT, Greenhouse, NodeMCU, Firebase.

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Section: Literature Review-mentioning

confidence: 99%

IoT based Automated Greenhouse

kumar,

2024

IJSREM

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“…An Esp8266-based smart and automated controlling agriculture system was designed, four parameters: temperature, humidity, light and soil moisture were monitored in real-time, the data was transferred to the customized webpage through a wireless network, the system also could adjust its environment conditions automatically if one factor was out of the predefined threshold so that it could maintain the optimum environment for the crops to grow rapidly [11]. A data analysis platform based on docker technology was designed and implemented; this platform was deployed simply regardless of the underlying operating system [12]. Data analysis is an important process after data gathering in IoT technology.…”

Section: Literature Reviewmentioning

confidence: 99%

Smart Greenhouse Monitoring and Controlling based on NodeMCU

Liu¹

2022

IJACSA

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Food security is one of the major rising issues as the human population is larger and the land available for cultivation is smaller, as well unassured affairs happened often in society especially in the current CoVID-19 rapidly spread days. To mitigate this condition, further improve the yields and quality of food, this paper proposed a smart and low-cost greenhouse monitoring and control system, which mainly consists of sensors, actuators, LCD display and microcontrollers. DHT22 sensor is used to get the surrounding temperature and humidity in the greenhouse, and NodeMCU is used as the main microcontroller. Some other facilities such as fan and heater are used to adjust the inside environment. The system could monitor the growth environment continuously with Internet-connected, the monitoring data is transmitted and stored in the ThingSpeak cloud, the users can visualize the live data through a webpage or phone APP in real-time. If the environment condition is out of the predefined level, the environment is monitored continuously, and the system can be adjusted automatically. This system can be deployed in the greenhouse simply and maintain the greenhouse environment in a normal range dynamically and continuously.

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Implementation of docker-based smart greenhouse data analysis platform

Cited by 2 publications

References 0 publications

IoT based Automated Greenhouse

IoT based Automated Greenhouse

Smart Greenhouse Monitoring and Controlling based on NodeMCU

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