IoT-Based Sensor Data Fusion for Determining Optimality Degrees of Microclimate Parameters in Commercial Greenhouse Production of Tomato

Rezvani, S; Abyaneh, Hamid Zare; Shamshiri, Redmond R.; Balasundram, Siva K.; Dworak, Volker; Goodarzi, Mohsen; Sultan, Muhammad; Mahns, Benjamin

doi:10.3390/s20226474

Cited by 29 publications

(23 citation statements)

References 29 publications

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“…Various remote systems, either by means of prototype or commercial, have been used for improving the performance of greenhouse monitoring. Some of the most recent examples include web-based, cloud-based, and IoT data collection, monitoring and control system [2,3], wireless sensor networks [5,8], field server-based monitoring [11], field router systems [12], and distributed data acquisition with a local controller and management [9]. A comprehensive comparison between the existing remote monitoring system in agricultural research is available in the work of [13].…”

Section: Wireless Communication and Iot-based Monitoring And Controlmentioning

confidence: 99%

“…Digital technology such as the Internet-of-Things (IoT) offers parallel solutions for automation engineers, which can be customized specifically for greenhouse applications. Wireless sensors and IoT enabled devices are used for real-time monitoring and control of the greenhouse environment through a secure internet connections on any mobile devices [3]. With multiple sensors that transmit data to a central computer installed with knowledge-based automation software, growers can monitor all internal and external data and apply any required changes to the environment in real-time.…”

Section: Introductionmentioning

confidence: 99%

“…Evaluation of greenhouse environments prior to the actual cultivation is also of interest for many growers. IoT-based monitoring systems have been used for evaluating and adjusting microclimate parameters with LoRa sensors which are custom-designed to withstand hot and humid condition, allowing the system to continuously operate on solar-charged battery in remote areas where connections stability is of concern [2,3]. An example of a modular LoRaWAN sensor node with external solar-charged battery and aviation connector cables with plug-and-sense capability is shown in Figure 2.…”

Section: Introductionmentioning

confidence: 99%

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Next-Generation Greenhouses for Food Security

Shamshiri¹

2021

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Automation of greenhouse environment using simple timer-based actuators or by means of conventional control algorithms that require feedbacks from offline sensors for switching devices are not efficient solutions in large-scale modern greenhouses. Wireless instruments that are integrated with artificial intelligence (AI) algorithms and knowledge-based decision support systems have attracted growers' attention due to their implementation flexibility, contribution to energy reduction, and yield predictability. Sustainable production of fruits and vegetables under greenhouse environments with reduced energy inputs entails proper integration of the existing climate control systems with IoT automation in order to incorporate real-time data transfer from multiple sensors into AI algorithms and crop growth models using cloud-based streaming systems. This chapter provides an overview of such an automation workflow in greenhouse environments by means of distributed wireless nodes that are custom-designed based on the powerful dualcore 32-bit microcontroller with LoRa modulation at 868 MHz. Sample results from commercial and research greenhouse experiments with the IoT hardware and software have been provided to show connection stability, robustness, and reliability. The presented setup allows deployment of AI on embedded hardware units such as CPUs and GPUs, or on cloud-based streaming systems that collect precise measurements from multiple sensors in different locations inside greenhouse environments.

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Section: Wireless Communication and Iot-based Monitoring And Controlmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Next-Generation Greenhouses for Food Security

Shamshiri¹

2021

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“…It has been found in the literature that the thermally driven desiccant dehumidification systems can provide optimum performance in case of drying applications [25,26] as well as various associated agricultural applications [27][28][29][30]. Therefore, desiccant-based dehumidification system is investigated in this study to enhance the deep drying process in humid climates.…”

Section: Drying Applicationmentioning

confidence: 99%

Investigating Solid and Liquid Desiccant Dehumidification Options for Room Air-Conditioning and Drying Applications

et al. 2020

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This study reports on the investigation of the performance of single and two-stage liquid and solid desiccant dehumidification systems and two-stage combined liquid and solid desiccant dehumidification systems with reference to humid climates. The research focus is on a dehumidification system capacity of 25 kW designed for room air conditioning application using the thermal models reported in the literature. RD-type silica gel and LiCl are used as solid and liquid desiccant materials, respectively. In this study, the application of proposed system for deep drying application is also explored. Condensation rate and moisture removal efficiency are chosen as performance parameters for room air conditioning application, whereas air outlet temperature is chosen as performance parameter for deep drying application. Further, for a given range of operating parameters, influences of air inlet humidity ratio, flow rate, and inlet temperature on performance parameters of the systems are investigated. In humid climatic conditions, it has been observed that a two-stage liquid desiccant dehumidification system is more effective for room air conditioning application, and two-stage solid desiccant dehumidification system is more suitable for deep drying application in the temperature range of 50 to 70 °C, while single-stage solid desiccant and two-stage combined liquid and solid desiccant dehumidification systems are more effective for low temperature, i.e., 30 to 50 °C deep drying application.

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“…Performance validation of the proposed M-DAC system with the comfort ratio model at α s = 1 in comparison with experimental data from a tomato greenhouse with evaporative pad-and-fan system[57] for 11 days under different growth stages.…”

mentioning

confidence: 99%

Dynamic Evaluation of Desiccant Dehumidification Evaporative Cooling Options for Greenhouse Air-Conditioning Application in Multan (Pakistan)

et al. 2021

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This study provides insights into the feasibility of a desiccant dehumidification-based Maisotsenko cycle evaporative cooling (M-DAC) system for greenhouse air-conditioning application. Conventional cooling techniques include direct evaporative cooling, refrigeration systems, and passive/active ventilation. which are commonly used in Pakistan; however, they are either not feasible due to their energy cost, or they cannot efficiently provide an optimum microclimate depending on the regions, the growing seasons, and the crop being cultivated. The M-DAC system was therefore proposed and evaluated as an alternative solution for air conditioning to achieve optimum levels of vapor pressure deficit (VPD) for greenhouse crop production. The objective of this study was to investigate the thermodynamic performance of the proposed system from the viewpoints of the temperature gradient, relative humidity level, VPD, and dehumidification gradient. Results showed that the standalone desiccant air-conditioning (DAC) system created maximum dehumidification gradient (i.e., 16.8 g/kg) and maximum temperature gradient (i.e., 8.4 °C) at 24.3 g/kg and 38.6 °C ambient air conditions, respectively. The DAC coupled with a heat exchanger (DAC+HX) created a temperature gradient nearly equal to ambient air conditions, which is not in the optimal range for greenhouse growing conditions. Analysis of the M-DAC system showed that a maximum air temperature gradient, i.e., 21.9 °C at 39.2 °C ambient air condition, can be achieved, and is considered optimal for most greenhouse crops. Results were validated with two microclimate models (OptDeg and Cft) by taking into account the optimality of VPD at different growth stages of tomato plants. This study suggests that the M-DAC system is a feasible method to be considered as an efficient solution for greenhouse air-conditioning under the climate conditions of Multan (Pakistan).

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IoT-Based Sensor Data Fusion for Determining Optimality Degrees of Microclimate Parameters in Commercial Greenhouse Production of Tomato

Cited by 29 publications

References 29 publications

Next-Generation Greenhouses for Food Security

Next-Generation Greenhouses for Food Security

Investigating Solid and Liquid Desiccant Dehumidification Options for Room Air-Conditioning and Drying Applications

Dynamic Evaluation of Desiccant Dehumidification Evaporative Cooling Options for Greenhouse Air-Conditioning Application in Multan (Pakistan)

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