A climate control methodology based on wireless sensor networks in greenhouses

Ferentinos, Konstantinos P.; Katsoulas, Ν.; Tzounis, A.; Kittas, C.; Bartzanas, Thomas

doi:10.17660/actahortic.2015.1107.9

Cited by 13 publications

(8 citation statements)

References 15 publications

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“…The latest environmental monitoring systems are offering some additional benefits in decision making and device management. Monitoring and Controlling includes remote monitoring, controlling open field, environment agriculture, and pest management [8]. The study has noted that collecting the phenotypic data of the plant can improve the crop [9].…”

Section: Fig 3 Various Factors Considered For Reviewmentioning

confidence: 99%

“…The study has noted that collecting the phenotypic data of the plant can improve the crop [9]. Well evaluated equations like crop and climate models produces assessments to take better decisions by providing an early warning [8]. The study has developed a multi-sensor system enabled with two sensors to gather solar radiation and humidity sensor to gather the environmental data and integrated with another five sensor modules that can measure the canopy trait of a crop from the field.…”

Section: Fig 3 Various Factors Considered For Reviewmentioning

confidence: 99%

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IoT Implementation and Management for Smart Farming

Nagaraju¹,

Chawla²

2019

IJITEE

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Precision agriculture can enable the vision of smart agriculture, improves the crop productivity and increases profitability of yields. Utilization of water is also an important criterion for a good agriculture and high production. The new dimension of smart farming in agriculture is Internet of Things. The IoT is a best solution for smart agriculture due to the use of interoperable, pervasive, scalable and open technologies and gained momentum in the field of agriculture. The advanced growth in IoT technologies even made the dream come true with the connectivity reached to rural areas. The use of highly accurate IoT sensors can measure the environmental context of farms and helps in improving the accuracy of precision agriculture. This paper reviews the various applications of IoT motivated by a purpose to identify various areas with latest trends, architecture frameworks. Selected papers were clustered based on various domain and subdomains corresponding to the usage of sensors, actuators, communication technologies, energy controls, storage solutions, data analysis for decision making and visualization to the farmer through web applications.

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Section: Fig 3 Various Factors Considered For Reviewmentioning

confidence: 99%

Section: Fig 3 Various Factors Considered For Reviewmentioning

confidence: 99%

IoT Implementation and Management for Smart Farming

Nagaraju¹,

Chawla²

2019

IJITEE

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“…A long evaluation period to improve system's functional quality in all terms preceded the final deployment of our system in commercial greenhouses. During our evaluation period which is presented in detail in [7] and [14] the precision of the sensor measurements, the power consumption of the application which runs on the nodes, the communication protocol and quality and the effect of the extreme climate conditions on the WSN overall performance were analyzed and inspected.…”

Section: System Architecturementioning

confidence: 99%

“…Wireless communication was succeeded through a CC2420 wireless chip. Ferentinos et al presented a WSN based on TelosB nodes, equipped with the CC2420 wireless chip [7]. The system aimed to achieve climate monitoring by measuring air temperature and humidity and plant status by measuring leaf temperature remotely, in a non-intrusive way, through an infrared thermocouple.…”

Section: Introductionmentioning

confidence: 99%

Development of a WSN for Greenhouse Microclimate Distribution Monitoring

Tzounis

Katsoulas

Ferentinos

et al. 2016

Annals ”Valahia” University of Targoviste - Agriculture

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Precision greenhouse agriculture requires several measuring points in order to have a better overview of the whole cultivation area. Climate variability within the covered area of a greenhouse can result in a non-uniform plant development and reduced productivity. Therefore, a distributed system, capable of taking multi-point measurements would be able to catch the climatic gradients in order to provide growers with a more detailed depiction of the climate at any time and early warnings of potential threats. Furthermore, the distributed monitoring can offer the appropriate inputs to more sophisticated distributed or plant-based climate control algorithms. The significant price drop in embedded computer and wireless communication chips, as well as the overall maturity of the available, low-power platforms have made the deployment of Wireless Sensor Networks increasingly attractive in modern agricultural facilities. This paper presents a Wireless Sensor Network (WSN) deployed for long periods in commercial facilities, equipped with shading screens and cooling pads placed in different directions, namely vertically to the plantation and parallel to it. The evolution of the various climate parameters in both greenhouses and the effect of the climate on the plants and the wireless communications are analyzed and presented.

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“…The use of WSNs in such applications provides valuable information about the spatial distribution of the monitored variables, which constitutes a very important tool for precise control mainly in PA, but also in large-scale CEA (Balendock et al, 2010). Especially in the case of CEA, which mainly involves the monitoring and control of greenhouse environment, several issues can arise in relation to the sensing quality of the WSNs used, mainly because of the extreme environmental conditions inside a greenhouse (Ferentinos et al, 2015). Such conditions can make the WSN measurements noisy and usually annotated with some measure of uncertainty (Wen et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Operation reliability of wireless sensor networks in greenhouse conditions

Katsoulas¹,

Ferentinos²,

Tzounis³

et al. 2017

Acta Hortic.

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Wireless sensor networks (WSNs) consist of battery-powered nodes equipped with specific sensors that collect appropriate information and transmit it wirelessly to a central base-station, which stores the received data for future processing or uses it dynamically for monitoring, control or other purposes. Environmental conditions inside a greenhouse can be quite extreme, with high values of temperature and relative humidity and long periods of exposure of the sensor nodes to high solar radiation intensities, which can affect the performance and quality of sensing information of WSNs. In addition, the metallic structure of the greenhouse and the canopy of the cultivated plants also affect WSN operation properties. In this work, the effects of real greenhouse conditions on the reliability of environmental monitoring using a WSN are investigated. Specific issues affecting the performance and accuracy of the WSN are identified and appropriate solutions are proposed. A prototype WSN is developed and installed inside a greenhouse in order to investigate the effects of all these parameters to the operation reliability of the network and assess its performance and the feasibility of possible future operation in a commercial greenhouse. The measured variables are air temperature, relative humidity and radiation intensity. Several experiments are conducted, trying to identify specific problems concerning the accuracy of the measured variables as influenced by specific parameters, as well as the effects of the environmental conditions inside the greenhouse in the operational performance of the WSN.

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A climate control methodology based on wireless sensor networks in greenhouses

Cited by 13 publications

References 15 publications

IoT Implementation and Management for Smart Farming

IoT Implementation and Management for Smart Farming

Development of a WSN for Greenhouse Microclimate Distribution Monitoring

Operation reliability of wireless sensor networks in greenhouse conditions

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