Implementation IoT in System Monitoring Hydroponic Plant Water Circulation and Control

Nurhasan, Usman; Prasetyo, Arief; Lazuardi, Gilang; Rohadi, Erfan; Pradibta, Hendra

doi:10.14419/ijet.v7i4.44.26965

Cited by 23 publications

(17 citation statements)

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“…Plant height and leaf width were used as a reference to measure the growth of mustard plants. This refers to a similar study conducted by [27], where the measurement of the growth of the mustard plant is seen from the height of the mustard plant. The measurement of the height of the mustard plant was also carried out so that result of this research could compare the performance with similar researches.…”

Section: Experiments Resultsmentioning

confidence: 99%

Smart agriculture for optimizing photosynthesis using internet of things and fuzzy logic

Qohar

Suharjito²

2022

IJECE

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<span>Photosynthesis is a process that plants need. Plant growth requires sunlight to carry out photosynthesis. At night photosynthesis cannot be carried out by plants. This research proposes an internet of things (IoT) model that can work intelligently to maximize photosynthesis and plant growth using fuzzy logic. The plants used in this research are mustard plants because mustard plants are plants that have broad leaves and require more photosynthesis. The outputs of this proposed model are the activation of light emitting diodes (LED) lights and automatic watering based on input sensors such as soil moisture, temperature, and light intensity which are processed with fuzzy logic. The results show that the use of the IoT model that has been proposed can provide faster and better growth of mustard plants compared with mustard plants without an IoT system and fuzzy logic. This result is also strengthened by comparing the t-test between the two groups, with a significant 95% confidence level. The proposed model in this research is also compared with similar research models carried out previously. This research resulted in a plant height difference of 30.43% higher than the previous research. So, it can conclude that the proposed model can accelerate the growth of mustard plants.</span>

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Section: Experiments Resultsmentioning

confidence: 99%

Smart agriculture for optimizing photosynthesis using internet of things and fuzzy logic

Qohar

Suharjito²

2022

IJECE

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“…Research [18] discusses the Deep Flow Technique (DFT) hydroponic system by connecting IoT. The study used the fuzzy Sugeno method to combine the IoT system to create a water circulation system in hydroponic plants.…”

Section: Literature Reviewmentioning

confidence: 99%

“…In implementing the DFT hydroponic system, hydroponic circuits are made in pipes measuring 107 x 30 x 40 cm as a place to put bok choi [18]. The pipe is equipped with a water container for water circulation and an aquarium water pump to deliver nutrient water into the pipe to plant the bok choi.…”

Section: A Implementationmentioning

confidence: 99%

The Effectiveness of Automated Sonic Bloom Method in An IoT-Based Hydroponic System

Suhesti

Putrada

Pahlevi

2022

ijoict

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One of the solutions for food security is planting using hydroponic method and to increase productivity and help hydroponic grow faster and facilitate in monitoring hydroponic growth, sonic bloom and Internet of Things (IoT) are two technologies that can be used. However, in previous studies, the two systems have not been interconnected. The aim of this study is to evaluate the effectiveness of the combination of the two systems mentioned, hence creating an automated sonic bloom method in an IoT-based hydroponic system. To test the proposed method, this system is implemented with bok choi as the hydroponic plant using the DFT technique. The automated sonic bloom is embedded to the IoT system with DF Player Mini module, RTC module, and speakers. The evaluation is done by comparing growth parameters and the crop parameters. The results show that the system with sonic bloom produces fresh weight of 0,44-0,56 g and dry weight of 0,21–0,33 g. The mentioned results are superior to the system without sonic bloom, where fresh weight is 0,17–0,25 g and dry weight is 0,08–0,13 g. It can be concluded that the IoT-based sonic bloom system is effective in increasing the growth rate and hydroponic production rate.

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“…When the water level does not match the needs of the plant, the system will add water to the plant through a water pump. The experimental results showed that the air and nutrient control system could produce better growth for lettuce and bok choy plants in leaf size and plant height [3], [7], [8]. Plants in two hydroponic systems produce less water and are more air efficient with lower use of air products than plants grown in soil [9].…”

Section: Introductionmentioning

confidence: 99%

Design and control system of temperature and water level in hydroponic plants

Azhari

Simanjuntak

Hakim

et al. 2022

J. Phys.: Conf. Ser.

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Agricultural cultivation technology with a hydroponic system is expected to be an alternative for people who have limited land or yards. However, manual control cannot be done at any time due to business and other work, so a controller is needed to monitor and control the temperature and water level in hydroponic plants to avoid the death of plant. The purpose of this research is to create a temperature and water level control system for hydroponic plants. The control process uses a NodeMCU esp8266 microcontroller. The process of data communication carried out by hardware and software using wireless media. The water temperature detection system uses a DS18B20 sensor, while the water level sensor uses an ultrasonic HC-SR04. The results of this study the system as a whole can perform the process of monitoring and controlling the temperature and water level in hydroponic plants automatically and displayed on the LCD and android. When the water level is less than the minimum limit of 5 cm, the filling pump will be active and it will take about 6.48 minutes to fill the reservoir from an empty state. In the temperature control system, an average error of 3.71%. In this research is obtained if water temperature is more than 29°C, the cold water pump will be active and it will take about 2 minutes to circulate the water back to 28°C.

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Implementation IoT in System Monitoring Hydroponic Plant Water Circulation and Control

Cited by 23 publications

References 0 publications

Smart agriculture for optimizing photosynthesis using internet of things and fuzzy logic

Smart agriculture for optimizing photosynthesis using internet of things and fuzzy logic

The Effectiveness of Automated Sonic Bloom Method in An IoT-Based Hydroponic System

Design and control system of temperature and water level in hydroponic plants

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