An Innovative Adaptive Control System to Regulate Microclimatic Conditions in a Greenhouse

Nicolosi, Giuseppina; Volpe, Roberto; Messineo, Antonio

doi:10.3390/en10050722

Cited by 50 publications

(22 citation statements)

References 47 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The heat supply system is the main subsystem necessary for the functioning of the greenhouse complex year-round. There are various solutions for heat supply systems automation [2][3][4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The Simulation of Heat Supply System with a Scale Formation Factor to Enable Automation of Greenhouse Geothermal Heat Supply System

et al. 2021

View full text Add to dashboard Cite

This article presents the results of the simulation of an automatic control system for the heat supply of a greenhouse complex with a geothermal heat source, conducted in order to study the possibility of geothermal heat supply system automation. Scilab version 6.1 was used for simulation. Based on the results of the simulation, the optimal mode of the automation system function of the heat exchanger primary circuit was developed and implemented. Reagentless treatment of geothermal water in the heat supply system with an acoustic–magnetic device (designed and patented by the authors of this paper) can significantly reduce the intensity of scale formation in the heat exchanger and geothermal heat supply system equipment. It provides conditions for the automation of geothermal heat supply systems of greenhouses with a surface heat exchanger. Using an automation system allows greater accuracy and reliability in maintaining the required temperature regime (18–20 °C) in the greenhouse, reduces the frequency of system shutdown for unplanned cleaning of the heat exchanger and equipment, reduces the complexity of manual operations of heat exchanger and equipment maintenance (removal of sludge, scale) and reduces the economic costs of transportation and heat consumption.

show abstract

Section: Introductionmentioning

confidence: 99%

“…Nicolosi G., Volpe R., Messineo A. [7] considered the adaptive microclimate control system of a greenhouse. This control system uses a neural network to predict climatic changes in a greenhouse.…”

Section: Introductionmentioning

confidence: 99%

The Simulation of Heat Supply System with a Scale Formation Factor to Enable Automation of Greenhouse Geothermal Heat Supply System

et al. 2021

View full text Add to dashboard Cite

show abstract

“…Along with the rapid annual growth rate of greenhouse horticulture in the era of climate change, the relevant market for the multi-variable control of the environment system for greenhouse horticulture is expected to repeat its high growth rate, and one can notice, without difficulty, that slightly different features have been manifested in each product, of the various cultivating control systems, in the market of greenhouse horticulture. However, what all systems have in common is the quantitative control of the variables of temperature, humidity, CO 2 concentration, and light intensity, via auxiliary light source, etc., in order to provide comfortable growth conditions for the crops inside the greenhouse, and, so far, a quite satisfactory accomplishment in terms of improved productivity and enhanced quality has been achieved [15][16][17][18][19]. However, there is still large room for improvement, especially to cope with increasingly harsh environments from climate change.…”

Section: Introductionmentioning

confidence: 99%

A Study of the Effects of Enhanced Uniformity Control of Greenhouse Environment Variables on Crop Growth

et al. 2019

View full text Add to dashboard Cite

In order to ensure high crop yield and good quality in greenhouse horticulture, the major environment control variables, such as temperature, humidity, and CO2 concentration, etc., need to be controlled properly, in order to reduce harmful effects on crop growth by minimizing the fluctuation of the thermal condition. Even though a hot water-based heating system is evidently superior to a hot air-based heating system, in terms of the thermally stable condition or energy saving, a hot air-based heating system has occupied the domestic market due to its economic efficiency from an initial investment cost saving. However, the intrinsic drawbacks of a hot air-based heating system, being more frequent variation of thermal variables and an inordinate disturbance on crops due to its convective heat delivery nature, are believed to be the main reasons for the insufficient crop yield and/or the quality deterioration. In addition, the current thermal environment monitoring system in a greenhouse, in which a sole sensor node usually covers a large part of cultivating area, seems to have a profound need of improvement in order to resolve those problems, in that the assumption of thermal uniform condition, which is adequate for a sole sensor node system, cannot be ensured in some cases. In this study, the qualitative concept of the new control variable—the degree of uniformity—is suggested as an indicator to seek ways of enhancing the crop yield and its quality based on the multiple sensor nodes system with a wireless sensor network. In contrast to a conventional monitoring system, for which a newly suggested concept of qualitative variable cannot be estimated at all, the multiple sensor nodes-based thermal monitoring system can provide more accurate and precise sensing, which enables the degree of uniformity to be checked in real-time and thus more precise control becomes possible as a consequence. From the analysis of the results of the experiment and simulation, it is found that the crops in plastic vinyl houses can be exposed to a serious level of non-uniform thermal condition. For instance, the temperature difference in the longitudinal and widthwise direction is 3.0 °C and 6.5 °C, respectively for the case of 75 × 8 m dimension greenhouse during a typical winter season, and it can be hypothesized that this level of non-uniformity might cause considerable damage to crop growth. In this paper, several variants of control systems, within the framework of the multiple sensor nodes system, is proposed to provide a more thermally-stable cultivating environment and the experimental verification is carried out for different scales of test greenhouses. The results showed that a simple change of heating mode (i.e., from a hot air- to a hot water-based heating system) can bring about a significant improvement for the non-uniformity of temperature (more or less 80%), and an additional countermeasure, with local heat flux control, can lead to a supplementary cut of non-uniformity up to 90%. Among the several variants of local heat flux control systems, the hydraulic proportional mass flow control valve system was proven to represent the best performance, and it can be hypothesized that the newly suggested qualitative variable—the degree of uniformity—with the multiple sensor nodes system can be a good alternative for seeking enhanced cultivating performance, being higher crop yield and better quality along with energy cost saving.

show abstract

“…Through the configuration presented, it was possible to obtain an analog reception depending on the soil moisture, as shown in Equation (1).…”

Section: Soil Moisture Sensormentioning

confidence: 99%

“…Generally, optimization of the growth conditions of crops, the cultivation period, and control of the indoor environment require the implementation of systems that are adaptive to changing climatic conditions. Therefore, there is a need to implement high-tech greenhouses focused on creating appropriate climate conditions that enhance plant growth and reduce production costs and energy consumption [1].…”

Section: Introductionmentioning

confidence: 99%

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

Robles-Algarín¹,

Cabarcas²,

Llanos³

2017

Electronics

View full text Add to dashboard Cite

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.

show abstract

An Innovative Adaptive Control System to Regulate Microclimatic Conditions in a Greenhouse

Cited by 50 publications

References 47 publications

The Simulation of Heat Supply System with a Scale Formation Factor to Enable Automation of Greenhouse Geothermal Heat Supply System

The Simulation of Heat Supply System with a Scale Formation Factor to Enable Automation of Greenhouse Geothermal Heat Supply System

A Study of the Effects of Enhanced Uniformity Control of Greenhouse Environment Variables on Crop Growth

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

Contact Info

Product

Resources

About