Trends in Automated Systems Development for Greenhouse Horticulture

Soto-Zarazúa, Genaro M.; Romero-Archuleta, B. A.; Mercado-Luna, Adán; Toledano‐Ayala, Manuel; Rico-García, Enrique; Peniche-Vera, Rocío; Herrera-Ruíz, Gilberto

doi:10.3923/ijar.2011.1.9

Cited by 10 publications

(6 citation statements)

References 14 publications

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“…Some ACSs are developed to control the climate variable such as temperature, humidity and CO 2 concentration. Data processing systems and sensors are connected through communication protocols, including ModBus and RS-232 [11], [12]. These systems are used to control the greenhouse environment, but there is a lack of optimization techniques to minimize energy consumption and prefer the user-desired parameters.…”

Section: Related Workmentioning

confidence: 99%

Optimal Environment Control Mechanism Based on OCF Connectivity for Efficient Energy Consumption in Greenhouse

Rizwan

Khan

Ahmad

et al. 2023

IEEE Internet Things J.

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Greenhouses are a productive system that allows us to respond to the growing global demand for fresh and healthy food throughout the year, but the greenhouse environment is not easily controlled because its climate parameters are interrelated. However, the numbers of the actuator are operated parallelly to maintain the greenhouse environment; as a result, the energy consumption of greenhouses is high. In this study, we presented the optimization module by considering the outdoor environment with the aim of minimum energy consumption. Metaheuristicbased Differential Evaluation (DE) is used to optimize the climate parameters by considering indoor and outdoor environmental constraints. Furthermore, the Long Short-Term Memory (LSTM) based inference model is offloaded on the Internet of Things (IoT) device to predict the next environmental situation. The objective function selects the optimal parameters within user preferences with minimum energy consumption based on the inferred parameter value. The open-source software framework IoTivity, implementing Open Connectivity Foundation (OCF) technical standards, is used for the real-time connection between IoT devices and the IoT platform. Greenhouse owners can set the preferences based on the requirements of plants in the greenhouse by using a smart and remotely accessible Androidbased interface. A fuzzy logic-based control module operates on an IoT device that maps the optimized parameters with the actuator and operates accordingly. The proposed model is analyzed, and the performance is evaluated in terms of energy consumption for each climate parameter and actuator in the greenhouse. The results show that the proposed mechanism saves 36% of energy.

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Section: Related Workmentioning

confidence: 99%

Optimal Environment Control Mechanism Based on OCF Connectivity for Efficient Energy Consumption in Greenhouse

Rizwan

Khan

Ahmad

et al. 2023

IEEE Internet Things J.

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“…This becomes difficult for ordinary greenhouse workers to interact with the system, because it is not user friendly and not simple to implement a fuzzy logic controller system. Soto-Zarazua et al [15] , in work implemented in Mexico, presents recently developed applied approaches for climate control in greenhouse as well as modern trends in algorithm usage. Consequently, a greenhouse climate system based on fuzzy logic is offered.…”

Section: Related Workmentioning

confidence: 99%

Automated Climate Monitoring System: the Case of Greenhouse Industries in Ethiopia

et al. 2021

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“…The vital relation between water supply and demand has not been adequately studied for greenhouse practice. Principal investigators have commented the limits of empirically obtained data [15] [18], using statistically derived relationships that have little relationship with physical principles.…”

Section: Irrigation and Nutrient Solution Controlmentioning

confidence: 99%

“…All growing phases can be controlled through Control of Air Temperature, Relative Humidity, CO2, Irradiation and Irrigation [20]. Good overview can be found in [18]. Common control systems for automatic control consist of sensor network for data acquisition connected to the central computer system through adequate communication protocols.…”

Section: Current Systems For Automatic Control Of Greenhousesmentioning

confidence: 99%

“…Pinon et al (2000) uses predictive control theory as a basis for design of greenhouse control system to encompass outside parameters of the system, while Rodriguez et al (2008) uses adaptive hierarchical approach to separate control variables with different time changes. Good overview of current trends in development of greenhouse control is given in Soto-Zarazua et al (2011). An interesting approach for obtaining a empiric models for system behavior in terms of energy balance is given in Tanner (1966).…”

Section: Integrated Control Of Protected Cultivationmentioning

confidence: 99%

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A fuzzy logic-based controller for integrated control of protected cultivation

Iliev

Sazdov

Zakeri

2014

Management of Environmental Quality: An International Journal

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In terms of systems theory, the greenhouse represents a complex nonlinear system with emphasized subsystem interactions. System decoupling is used in order to obtain simplified control structures for independent control loops. This gives limited results because of the strong interaction between system variables. Such system does not allow system behaviour optimization primarily in terms of energy efficiency and/or water consumption. This paper presents a design of fuzzy logic based controller, which optimizes the Greenhouse heating, energy and water consumption. The design includes the main linguistic variables for sensors and actuators. Membership functions of Fuzzy Inference System (FIS) are generated and simulation and analysis of the behaviour of the designed control system is performed.

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Trends in Automated Systems Development for Greenhouse Horticulture

Cited by 10 publications

References 14 publications

Optimal Environment Control Mechanism Based on OCF Connectivity for Efficient Energy Consumption in Greenhouse

Optimal Environment Control Mechanism Based on OCF Connectivity for Efficient Energy Consumption in Greenhouse

Automated Climate Monitoring System: the Case of Greenhouse Industries in Ethiopia

A fuzzy logic-based controller for integrated control of protected cultivation

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