The Landscape of Wireless Sensing in Greenhouse Monitoring and Control

Berezowski, Krzysztof S

doi:10.5121/ijwmn.2012.4410

Cited by 10 publications

(4 citation statements)

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“…A set of special conditions within greenhouses (variable microclimate conditions, greenhouse construction materials, size and composition of plants, spatiotemporally variable foliage)raise some questions about the proper operating frequency, the topology and the network density of the WSNs that are used in modern greenhouse monitoring and operation control systems. Specifically for WSNs that operate in the license free 2.4GHz band it is reported that they are severely affected by the specific conditions inside the greenhouse during the crop growth period [5]. If the type of crop being grown is tall and produces large volumes of green mass, then not only the communication range is dramatically reduced, but it also varies by orders of magnitude within the crop growth cycle.…”

Section: Related Workmentioning

confidence: 99%

“…When considering factors such as supported data rate, number of nodes, energy consumption, nominal maximum distance among nodes, set up cost, installation complexity, and overall reliability, then ZigBee is reported to comprise the best solution [4]. The advantages of using ZigBee are mainly the fact that it is easy to use at the application layer, that is characterized by self-organization, that it has low power consumption, and finally that the typical cost of a ZigBee chip is low [5].…”

Section: Introductionmentioning

confidence: 99%

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Experimental Assessment of Zigbee as the Communication Technology of a Wireless Sensor Network for Greenhouse Monitoring

Lamprinos¹,

Charalambides²

2015

IJASSN

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Wireless Sensor Networks are considered an important part of the modern ICT solutions for greenhouse monitoring. Several communication technologies are already available and have been used both in pilot and commercial installations. Their attractiveness is based on their deployment flexibility and low cost. However, some special features of the greenhouses and their cultivations (variable microclimate conditions, greenhouse construction materials, size and composition of plants, spatiotemporally variable foliage) raise questions about the proper topology and network density in such an environment. In this paper, the findings of our experimentation regarding the use of ZigBee as the communication technology for a WSN deployed in a greenhouse complex with hydroponic cultivation of tomato crops are presented. Different topologies were investigated and the impact of the plants' foliage in the network nodes connectivity is assessed.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Experimental Assessment of Zigbee as the Communication Technology of a Wireless Sensor Network for Greenhouse Monitoring

Lamprinos¹,

Charalambides²

2015

IJASSN

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“…Wireless air pollution monitoring systems operate in several modes However, these modes are expensive to install and maintain due to their complexity. Although WSNs is initially used for military and industrial reasons [ 5 ], it has been developed for a growing number of industrial applications in recent years.…”

Section: Introductionmentioning

confidence: 99%

A Method to Construct an Indoor Air Pollution Monitoring System Based on a Wireless Sensor Network

Naziha

Elamine

et al. 2019

Sensors

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Wireless Sensors Networks (WSNs) are currently receiving much research interest due to their wide-ranging use is a number of different fields. In the current study, a system based on a WSN is proposed that can monitor indoor air pollution in several public spaces, such as subway stations, offices, schools, and hospitals. The proposed system uses integrated sensors in mobile phones, moving from a stationary nodes model to a mobile nodes model. The main objective of building this system is to provide full coverage of the target area. To achieve this goal, the system is simulated by MATLAB and the following algorithms are applied: Particle Swarm Optimization (PSO) to maximize the coverage in the region of interest (RoI), Voronoi Diagram (VD) to detect holes in the coverage, and finally the Point in Polygon (PiP) algorithm to heal the holes in the coverage. The application of the algorithms mentioned above has been very effective as PSO has increased the coverage rate of the monitoring area to 100%. The VD allowed us to define the exact location of coverage holes whilew the Point in Polygon algorithm allowed us to heal the holes and find the remaining sensors in order to improve network coverage. This enabled us to achieve full coverage of the monitoring area.

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“…Park and Park (2011) reported on a WSN-based greenhouse environmental monitoring and dew point control system that prevented dew condensation phenomena on the crop surface and played an important role in the prevention of disease infections. Berezowski (2012) reported the landscape of short-range wireless communication technologies for greenhouse management. The author, based on application domain knowledge, identified the design constraints and presented possible solutions for applying wireless networks to greenhouse WSN.…”

Section: Introductionmentioning

confidence: 99%

An Intelligent Wireless Sensor and Actuator Network System for Greenhouse Microenvironment Control and Assessment

Pahuja¹,

Verma²,

Uddin³

2017

Journal of Biosystems Engineering

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Purpose: As application-specific wireless sensor networks are gaining popularity, this paper discusses the development and field performance of the GHAN, a greenhouse area network system to monitor, control, and access greenhouse microenvironments. GHAN, which is an upgraded system, has many new functions. It is an intelligent wireless sensor and actuator network (WSAN) system for next-generation greenhouses, which enhances the state of the art of greenhouse automation systems and helps growers by providing them valuable information not available otherwise. Apart from providing online spatial and temporal monitoring of the greenhouse microclimate, GHAN has a modified vapor pressure deficit (VPD) fuzzy controller with an adaptive-selective mechanism that provides better control of the greenhouse crop VPD with energy optimization. Using the latest soil-matrix potential sensors, the GHAN system also ascertains when, where, and how much to irrigate and spatially manages the irrigation schedule within the greenhouse grids. Further, given the need to understand the microclimate control dynamics of a greenhouse during the crop season or a specific time, a statistical assessment tool to estimate the degree of optimality and spatial variability is proposed and implemented. Methods: Apart from the development work, the system was field-tested in a commercial greenhouse situated in the region of Punjab, India, under different outside weather conditions for a long period of time. Conclusions: Day results of the greenhouse microclimate control dynamics were recorded and analyzed, and they proved the successful operation of the system in keeping the greenhouse climate optimal and uniform most of the time, with high control performance. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. Keywords IntroductionThe wireless sensor network (WSN) is one of the upcoming, multidisciplinary, and pervasive computing technologies of the 21st century (Estrin et al., 2002). With its wide range of application potential, it is invading environments and bridging the gap between the real physical world of sensory data and the digital world of computers and internet. WSN is achieving the high-end goal of creating real sensor webs, which may be called the "next-generation internet" (Zhao and Guibas, 2004). A typical WSN consists of a number of sensor nodes, spatially distributed into an application environment, that cooperatively monitor the phenomenon of interest and communicate data to the gateway node via a low-power true-mesh multihop routing for end user access (Sohraby et al., 2007). Each sensor node is embedded with sensing, computing, and wireless communication capabilities to form a data collection network. The utility of WSN is further enhanced by integrating it with an actuator network...

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The Landscape of Wireless Sensing in Greenhouse Monitoring and Control

Abstract: Abstract

Cited by 10 publications

References 44 publications

Experimental Assessment of Zigbee as the Communication Technology of a Wireless Sensor Network for Greenhouse Monitoring

Experimental Assessment of Zigbee as the Communication Technology of a Wireless Sensor Network for Greenhouse Monitoring

A Method to Construct an Indoor Air Pollution Monitoring System Based on a Wireless Sensor Network

An Intelligent Wireless Sensor and Actuator Network System for Greenhouse Microenvironment Control and Assessment

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