Smart greenhouse fuzzy logic based control system enhanced with wireless data monitoring

Azaza, Maher; Tanougast, Camel; Fabrizio, Enrico; Mami, Abdelkader

doi:10.1016/j.isatra.2015.12.006

Cited by 141 publications

(49 citation statements)

References 18 publications

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“…The effectiveness of fuzzy logic, with which it was possible to define all situations that may occur in the greenhouse, was demonstrated. The results mentioned above are further supported in work carried out in [2], in which the temperature and illuminance of a greenhouse were controlled. On the other hand, the results obtained in [8] highlight the improvements that can be achieved in terms of greenhouse temperature control when a fuzzy controller is used with particle swarm optimization.…”

Section: Discussionsupporting

confidence: 54%

“…To meet these requirements, different intelligent control strategies such as fuzzy logic have been discussed, and achievements have been made in the remote control of climatic variables [2][3][4]. In addition, research has been conducted using different versions of fuzzy controllers such as traditional [5], inverted [6], adaptive [7], and improved via particle swarm optimization [8].…”

Section: Introductionmentioning

confidence: 99%

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Low-Cost Fuzzy Logic Control for Greenhouse Environments with Web Monitoring

Robles-Algarín¹,

Cabarcas²,

Llanos³

2017

Electronics

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Abstract:The design and implementation of a low-cost system for monitoring and remote control of a greenhouse using fuzzy logic is presented. For the control system, an Arduino Mega board was programmed with a fuzzy algorithm to monitor and perform control actions for environmental temperature, soil moisture, relative humidity, and lighting. A website was designed to visualize the main indicators of agricultural interest and to get access to tools such as forced ventilation, misting systems, and sprinkler irrigation. For connectivity to the webpage, an Arduino Ethernet Shield was used. Thus, it was possible to establish a local area network and monitor and control the greenhouse climate variables manually or automatically. The application designed allowed access to the configuration, monitoring, and control of climatic conditions in the greenhouse. The effectiveness of fuzzy logic to control nonlinear systems was therefore verified without the mathematical model of the plant. Thus, the use of resources for a gable roof greenhouse prototype was optimized.

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Section: Discussionsupporting

confidence: 54%

Section: Introductionmentioning

confidence: 99%

Low-Cost Fuzzy Logic Control for Greenhouse Environments with Web Monitoring

Robles-Algarín¹,

Cabarcas²,

Llanos³

2017

Electronics

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“…Fuzzy logic based climate control a wireless data monitoring system has been implemented by M. Azaza et. Al [11]. They proposed a system of smart greenhouse system to control both the temperature and humidity of a system to promote a comfortable microclimate for plant growth.…”

Section: Introductionmentioning

confidence: 99%

A Simulation Based Study of A Greenhouse System with Intelligent Fuzzy Logic

Mostakim¹,

Mahmud²,

Jewel³

2020

IJFLS

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Greenhouse (GHS) system is a system, that provides an efficient condition to grow plants. This research paper describes designing of a greenhouse system to control climate, soil moisture, lighting using fuzzy logic. The proposed model consists fuzzy logic to control GHS parameter such as temperature, Humidity, light, soil moisture and watering system to the plant. In this proposed system temperature controlling controller is used to take current temperature as input by using temperature sensor and its deviation from user set data. The temperature is controlled by the speed of fan. This algorithm is same for all other parameters. In this research the set value of different sensors is selected by the owner of the greenhouse according to the basis of growing plant condition. This system will enhance the capability of fuzzy logic control systems in case of process automation and potentiality.Simulation using MATLAB is used to achieve the designed goal. AUTHORSNiaz Mostakim has achieved his B.Sc. and M.Sc. degree from the dept. of Electrical and Electronic Engineering of Islamic University, Kushtia-7003, Bangladesh. He is a Lecturer of the department of Electrical and Electronic Engineering at Atish Dipankar University of Science and Technology, Uttara, Dhaka. His current interest includes internet of things (IOT), Telemedicine, Control System, Fuzzy controller, microcontroller based system design, electronics system design and development, Artificial intelligence.Shuaib Mahmud has achieved his B.Sc. and M.Sc. degree from the dept.

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“…With the help of software developed on the Graphical User Interface (GUI) installed on the host computer, the temperature was constantly monitored and intelligently controlled. Azaza et al [8] developed a method that contains fuzzy logic techniques using temperature and humidity values for controlling the energy consumption and water usage. The method they developed provided 22% savings on energy efficiency and 33% savings on water use.…”

Section: Introductionmentioning

confidence: 99%

The Control of Greenhouses Based on Fuzzy Logic Using Wireless Sensor Networks

Alpay¹,

Erdem²

2019

IJCIS

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Wireless sensor network Fuzzy logic Internet of things Smart greenhouse Greenhouse climate control A B S T R A C T ID:p0060Greenhouses cannot be easily controlled because their climate parameters are interrelated. This study contributes to increasing the quality and yield of greenhouses by saving time, energy, light and water consumption via measuring and controlling the climate parameters that are effective in forming climate factors in greenhouses. The greenhouse climate variables including temperature, relative humidity, soil moisture and light intensity were measured by a realistic sensor application. In this way, several sensor nodes, that belong to the nodal packages were distributed to a wireless sensor network (WSN) constructed in a star topology. In addition, the data obtained from the nodes, have been controlled and monitored with the fuzzy logic-based control strategy proposed as a developing, smart and remotely accessible Android-based interface. The proposed method has been analyzed, and its performances have been evaluated in terms of the benefits of both the user and the greenhouse.

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Smart greenhouse fuzzy logic based control system enhanced with wireless data monitoring

Cited by 141 publications

References 18 publications

Low-Cost Fuzzy Logic Control for Greenhouse Environments with Web Monitoring

Low-Cost Fuzzy Logic Control for Greenhouse Environments with Web Monitoring

A Simulation Based Study of A Greenhouse System with Intelligent Fuzzy Logic

The Control of Greenhouses Based on Fuzzy Logic Using Wireless Sensor Networks

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