Design and Implementation of an IoT Based Greenhouse Monitoring and Controlling System

Nath, Shablu Deb; Hossain, Mohammad Shahadat; Chowdhury, Imtiaz Akber; Tasneem, Sabiha; Hasan, Mehedi; Chakma, Rocky

doi:10.32996/jcsts.2021.3.1.1

Cited by 10 publications

(8 citation statements)

References 20 publications

(20 reference statements)

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“…The developed system was able to identify the behaviour and changes in the measured levels without significant differences as compared to the traditional methods. All these results indicate that the developed system was able to identify the environmental conditions and the amount and time that irrigation was used inside the greenhouses; these findings are in accordance with [17,19,20]. Based on the results obtained from the study (Table 3 and Figures 4-7), the Arduino microcontroller system has proven to be reliable when installed in large greenhouses and the system saves approximately 12.5% of the water normally used in these greenhouses.…”

Section: Comparison Of the Arduino Microcontroller System And Traditi...supporting

confidence: 68%

“…Water stress increased the flowering days and days to maturity while it decreased the leaf number and led to a loss of normal root architecture which further led to a reduction in yield [30]. The changes in WCR due to temperature, humidity, and irrigation duration variations usually contribute to increasing yield [17,31]. Overall, our present study indicated that WCR has a strong relationship with temperature, humidity, and irrigation time.…”

mentioning

confidence: 49%

“…Automated greenhouse monitoring has been addressed on a large scale from multiple perspectives and has been mostly focused on specific applications such as precision farming, irrigation, environmental control, yield prediction, and weed detection, to name a few [17]. Reference [18] explained that the interest in automated greenhouse monitoring has now reached an impressive level and noted that the interest in cultivation applications is growing exponentially.…”

Section: Introductionmentioning

confidence: 99%

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Automatic Water Control System and Environment Sensors in a Greenhouse

Hilal

Khessro

Dam

et al. 2022

Water

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Iraqi greenhouses require an active microcontroller system to ensure a suitable microclimate for crop production. At the same time, reliable and timely Water Consumption Rate (WCR) forecasts provide an essential means to reduce the amount of water loss and maintain the environmental conditions inside the greenhouses. The Arduino micro-controller system is tested to determine its effectiveness in controlling the WCR, Temperature (T), Relative Humidity (RH), and Irrigation Time (IT) levels and improving plant growth rates. The Arduino micro-controller system measurements are compared with the traditional methods to determine the quality of the work of the new control system. The development of mathematical models relies on T, RH, and IT indicators. Based on the results, the new system proves to reliably identify the amount of WCR, IT, T, and RH necessary for plant growth. A t-test for the values from the Arduino microcontroller system and traditional devices for both conditions show no significant difference. This means that there is solid evidence that the WCR, IT, T, and RH levels for these two groups are no different. In addition, the linear, two-factor interaction (2FI), and quadratic models display acceptable performance very well since multiple coefficients of determination (R2) reached 0.962, 0.969, and 0.977% with IT, T, and RH as the predictor variables. This implies that 96.9% of the variability in the WCR is explained by the model. Therefore, it is possible to predict weekly WCR 14 weeks in advance with reasonable accuracy.

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Section: Comparison Of the Arduino Microcontroller System And Traditi...supporting

confidence: 68%

mentioning

confidence: 49%

Section: Introductionmentioning

confidence: 99%

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Automatic Water Control System and Environment Sensors in a Greenhouse

Hilal

Khessro

Dam

et al. 2022

Water

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“…The study revealed that the smart greenhouse system yielded 10-15% better results compared to the traditional greenhouse. Similarly, [15] established that an Internet of Things (IoT)-based system might be a versatile and appropriate option for monitoring and regulating the greenhouse environment. They presented a sensor-based system for monitoring temperature, humidity, and soil moisture levels.…”

Section: Greenhouse Monitoring and Control Systemmentioning

confidence: 99%

Design and Remote Monitoring of a wireless-Controlled Smart Agricultural Greenhouse

Abou-Mehdi-Hassani,

Ait Bouh,

Boudnaya

et al. 2023

E3S Web of Conf.

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This article presents a wirelessly controlled smart agriculture system and offers a comprehensive literature review to explore advancements in greenhouse monitoring and control systems. The system utilizes various sensors and actuators to optimize climatic conditions and enhance the growth of Dianthus Caryophyllus (CLOVE), an aromatic plant. Developed using Internet of Things (IoT) technology, the smart greenhouse system continuously monitors crucial environmental variables, including temperature, humidity, CO2 levels, and soil moisture. The collected data is utilized by actuators to make real-time adjustments to the greenhouse environment. The prototype operates through wireless communication protocols accessible via a dedicated mobile application.

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“…The smart device installed in the greenhouse has many sensors that measure environmental parameters, such as temperature and air humidity [25]. The temperature sensor and humidity sensors are present to control and monitor [26].…”

Section: Introductionmentioning

confidence: 99%

Monitoring and Controlling System of Smart Mini Greenhouse Based on Internet of Things (IoT) for Spinach Plant (Amaranthus sp.)

Putri,

Lestari,

Ifmalinda

et al. 2024

Int. J. Adv. Sci. Eng. Inf. Technol.

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Greenhouses, often composed of plastic or glass structures, play a fundamental role in optimizing the environmental conditions essential for successful plant cultivation, ultimately resulting in higher-quality crop yields. The study aims to develop a real-time monitoring and control system for a smart mini greenhouse utilizing the Internet of Things (IoT), with a specific focus on cultivating spinach. The monitoring system is constructed around an ESP32 microcontroller, complemented by a DHT22 sensor for accurate air temperature and humidity measurements, and an RTC DS3231 timer for scheduling tasks. The DHT22 sensor's set point values trigger the fan and misting system operations. The fan activates when the air temperature reaches 32°C, while the misting system turns on when humidity levels (RH) reach 55%. The ESP32 is the central processing unit, enabling internet connectivity through Wi-Fi for real-time data monitoring via the Blynk application. Sensor calibration confirms the system's precision, with regression analyses producing impressive R2 values of 0.989 and 0.952. The shading net control system operates four hours daily, from 11:00 to 15:00 WIB (Western Indonesian Time), optimizing the greenhouse environment. This well-executed system leads to the robust growth of spinach plants, reaching a height of 23.02 cm, sprouting nine leaves, and attaining a weight of 10 grams. The findings from this study highlight the efficiency and effectiveness of the smart mini greenhouse's monitoring and control system, offering promising applications in broader greenhouse management and crop cultivation practices.

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Design and Implementation of an IoT Based Greenhouse Monitoring and Controlling System

Cited by 10 publications

References 20 publications

Automatic Water Control System and Environment Sensors in a Greenhouse

Automatic Water Control System and Environment Sensors in a Greenhouse

Design and Remote Monitoring of a wireless-Controlled Smart Agricultural Greenhouse

Monitoring and Controlling System of Smart Mini Greenhouse Based on Internet of Things (IoT) for Spinach Plant (Amaranthus sp.)

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