Environmental wireless sensor network using raspberry Pi 3 for greenhouse monitoring system

Anire, Roselle B.; Cruz, Febus Reidj G.; Agulto, Ireneo

doi:10.1109/hnicem.2017.8269426

Cited by 19 publications

(10 citation statements)

References 3 publications

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“…Nowadays, a relevant number of solutions can be found in the specific literature. Recent projects based on Raspberry Pi equipment and focused on real-time data-monitoring purposes are proposed in [38][39][40]. A recent review of energy-management systems for homes based on the current IoT era can be found in [41].…”

Section: Preliminariesmentioning

confidence: 99%

PV Module Monitoring System Based on Low-Cost Solutions: Wireless Raspberry Application and Assessment

Paredes-Parra¹,

Mateo-Aroca

Silvente-Niñirola

et al. 2018

Energies

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The integration of renewables into power systems has led to multiple studies and analysis in terms of grid-power quality, reliability, and/or feasibility. Among different resources to be considered as alternative energy systems, wind and solar emerge as the most mature technologies. With regard to photovoltaic (PV) installations, monitoring problems requires detailed analysis, since solar-radiation fluctuations, soiling on solar panels, or deficiency of PV-panel performance can involve unexpected power-output oscillations and, subsequently, undesirable power-generation oscillations. Under this framework, this paper describes and assesses a wireless low-cost PV-module monitoring system based on open-source solutions. Our proposal allows us to monitor installations at the PV-module level, giving detailed information regarding PV power-plant performance. The proposed monitoring system is based on the IEC-61724 standard requirements, as a flexible and ad hoc solution with relevant connectivity options. Meteorological and electrical data are collected from the developed nodes and available for subsequent analysis. Detailed information of the solution, as well as extensive results collected in Spanish PV power plants connected to the grid, are also included in the paper. Energies 2018, 11, 3051 2 of 20Best et al. [5] affirms that solar and wind resources are on the upper rungs of the energy ladder, their integration being predominant in higher-income countries. Recent contributions, focused on future electricity systems, also assume that renewable assets can be considered a mix between wind-and solar-power generation [6]. In [7], and apart from wind and PV solar deployment, a slight increase has been estimated during the past few years for other renewable energy sources for electricity. In addition, Ellabban et al. [8] establishes a direct connection between technological maturity and economic barriers, mainly when the cost of a technology is above the cost of other competing alternatives. Therefore, wind and PV solar resources are currently the most integrated renewable energy sources into power systems, excluding hydropower-generation units. Nevertheless, there are no large-area power systems in the world where wind and solar power generate more than 50% of electricity [9].The integration of wind and PV power plants into power systems involves certain technical problems, mainly focused on reliability, power quality, and stability [10]. The intermittent nature of such sources may increase grid stress, mainly due to undesirable oscillations on the supply side [11] that may affect voltage regulation of transmission systems [12]. At a low/medium-voltage level, different reactive power control strategies have also been proposed to facilitate renewables integration [13], including active power curtailment [14]. As an additional solution to guarantee a balance between generation and demand, with reduced capacity and costs of operating reserves [15], short-term forecasting of PV production emerges as a relevant topic of inte...

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Section: Preliminariesmentioning

confidence: 99%

PV Module Monitoring System Based on Low-Cost Solutions: Wireless Raspberry Application and Assessment

Paredes-Parra¹,

Mateo-Aroca

Silvente-Niñirola

et al. 2018

Energies

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“…The data is displayed through LCD and a notification is sent via GSM module. Meanwhile, wireless sensor networks which use Raspberry Pi 3 were developed for a greenhouse that monitors the temperature, humidity, and soil moisture (Anire, Cruz, & Agulto, 2017) and for a lettuce growth chamber that monitors light intensity, temperature, and humidity (Cabaccan, Cruz, & Agulto, 2017). , the development and innovation of an IoT-based micro-farm prototype were proposed.…”

Section: Article Infomentioning

confidence: 99%

Yield Evaluation of Brassica rapa, Lactuca sativa, and Brassica integrifolia Using Image Processing in an IoT-Based Aquaponics with Temperature-Controlled Greenhouse

et al. 2020

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The paper introduced the development of a self-sustainable smart aquaponics system in a temperature-controlled greenhouse with a monitoring and automatic correction system using an Android device through the Internet of Things (IoT) and plant growth monitoring system through image processing using Raspberry Pi. The system involves the acquiring of real-time data detected by the light intensity sensor, and air temperature and humidity sensor. It also includes the monitoring of the pH level and temperature of the recirculating water of the system. If the acquired data is not within the threshold range, the correcting devices, namely grow lights, exhaust and inlet fans, evaporative cooler, aerator, and peristaltic buffer device were automatically triggered by the system to correct and achieve its normal status. The internet remote access includes the effective wireless transmission and reception of data reports between the system and an Android unit with the Android application in real-time. The study focused on the evaluation of two experimental setups comparing the plant growth between conventional soil-based farming and the smart aquaponics system using image processing. After data gathering, results showed that the smart aquaponics setup successfully produced a yield better than the conventional farming setup .

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“…Also, the cost of purchasing solar power can be a disadvantage especially for poor farmers in developing countries. Anire et al [10] developed a wireless sensor network for greenhouse monitoring. The proposed system integrated environmental sensor such as temperature, humidity and soil moisture in a microcomputer Linux board which is the Raspberry Pi 3.…”

Section: Related Workmentioning

confidence: 99%

“…Figure 1 presents an illustration of greenhouse farming showing climatic control parameters. Several greenhouse monitoring schemes [8,9,10,11,12] have been previously proposed. These proposals used different approaches towards the achievement of their set objectives.…”

Section: Introductionmentioning

confidence: 99%

Environmental Parameters Monitoring for Greenhouse Farming Using Wireless Sensor Networks

Bassi¹,

Dada²,

Musa³

et al. 2020

NIPES

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Successive reforms in agricultural policies have recently created an enabling environment for development and implementation of stateof-the-art, environmentally friendly farming strategies. This permits farmers to intensify production and manage local environment which is crucial for sustainable development of agricultural sector. This paper proposes a wireless sensor network architecture for real-time greenhouse environmental parameters monitoring to achieve scientific cultivation at a low management cost. The greenhouse monitoring system was designed by integrating DHT11 sensor, GSM module to a microcomputer board which is Arduino microcontroller. A real-time observation, monitoring and communication station was built using an android phone. Sensor data are received in near realtime through wireless communication network for analysis and control of targeted area. The proposed model was built and tested. The results obtained shows that automated monitoring of greenhouse farming is promising for enhanced agricultural production.

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Environmental wireless sensor network using raspberry Pi 3 for greenhouse monitoring system

Cited by 19 publications

References 3 publications

PV Module Monitoring System Based on Low-Cost Solutions: Wireless Raspberry Application and Assessment

PV Module Monitoring System Based on Low-Cost Solutions: Wireless Raspberry Application and Assessment

Yield Evaluation of Brassica rapa, Lactuca sativa, and Brassica integrifolia Using Image Processing in an IoT-Based Aquaponics with Temperature-Controlled Greenhouse

Environmental Parameters Monitoring for Greenhouse Farming Using Wireless Sensor Networks

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