A Wireless Sensor Network Solution for Precision Agriculture Based on Zigbee Technology

Keshtgari, Manijeh; Deljoo, Amene

doi:10.4236/wsn.2012.41004

Cited by 92 publications

(56 citation statements)

References 10 publications

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“…Thus, the WSN is most suitable for collection of information spread over wide area. On intensive study, it is found that, the WSN is significantly used for precision agriculture [7], wherein, the parameters of spatio-temporal variations should be essentially monitored. The WSN also proved its suitability for monitoring transportation, environmental monitoring, forecasting, pollution monitoring, security, disaster management etc [8].…”

Section: Introductionmentioning

confidence: 99%

ARM Microcontroller Based Wireless Sensor Network to Monitor Environmental Parameters of Textile Industry

Chavan¹,

Tilekar²,

Deshmukh³

et al. 2017

IJARCSSE

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Section: Introductionmentioning

confidence: 99%

ARM Microcontroller Based Wireless Sensor Network to Monitor Environmental Parameters of Textile Industry

Chavan¹,

Tilekar²,

Deshmukh³

et al. 2017

IJARCSSE

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“…The IEEE 802.15.4 based ZigBee (ZigBee Alliance, 2004) and a ZigBee-like propriety networking protocol, XMesh (Crossbow, 2007a), among others, ported to some of the node hardware platforms, have made significant impact on a broad range of applications. Over a few years, many applications of WSN have appeared in areas such as building automation (ZigBee Alliance, 2006), (Kazmi et al, 2014), health care (ZigBee Alliance, 2008), defense and surveillance (He et al, 2006), (Sun et al, 2011), precision agriculture (Burrell et al, 2004), (Tim et al, 2007), (Keshtgari and Deljoo, 2012), (Wu et al, 2015), disaster management (Ahmad et al, 2011), transportation systems (Katiyar et al, 2011), (Felemban and Sheikh, 2014), and others (Li and Xiong, 2013), (Mehdipour et al, 2013).…”

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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“…Precision agriculture is a wealthy field of application for automated monitoring as it has been highlighted by both Srbinova et al [19] and Keshtgary and Delijoo [20] which have both developed WSN systems for improved quality in farming. They both followed the common WSN schema of nodes and base stations while showcasing efficient processes of gathering and distributing environmental parameters.…”

Section: Related Workmentioning

confidence: 99%

A Social Environmental Sensor Network Integrated within a Web GIS Platform

Voutos

Mylonas

Spyrou

et al. 2017

JSAN

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Abstract:We live in an era where typical measures towards the mitigation of environmental degradation follow the identification and recording of natural parameters closely associated with it. In addition, current scientific knowledge on the one hand may be applied to minimize the environmental impact of anthropogenic activities, whereas informatics on the other, playing a key role in this ecosystem, do offer new ways of implementing complex scientific processes regarding the collection, aggregation and analysis of data concerning environmental parameters. Furthermore, another related aspect to consider is the fact that almost all relevant data recordings are influenced by their given spatial characteristics. Taking all aforementioned inputs into account, managing such a great amount of complex and remote data requires specific digital structures; these structures are typically deployed over the Web on an attempt to capitalize existing open software platforms and modern developments of hardware technology. In this paper we present an effort to provide a technical solution based on sensing devices that are based on the well-known Arduino platform and operate continuously for gathering and transmitting of environmental state information. Controls, user interface and extensions of the proposed project rely on the Android mobile device platform (both from the software and hardware side). Finally, a crucial novel aspect of our work is the fact that all herein gathered data carry spatial information, which is rather fundamental for the successful correlation between pollutants and their place of origin. The latter is implemented by an interactive Web GIS platform operating oversight in situ and on a timeline basis.

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A Wireless Sensor Network Solution for Precision Agriculture Based on Zigbee Technology

Cited by 92 publications

References 10 publications

ARM Microcontroller Based Wireless Sensor Network to Monitor Environmental Parameters of Textile Industry

ARM Microcontroller Based Wireless Sensor Network to Monitor Environmental Parameters of Textile Industry

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

A Social Environmental Sensor Network Integrated within a Web GIS Platform

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