A Wireless Sensor Network for Greenhouse Climate Control

Pahuja, Roop; Verma, H. K.; Uddin, Moin

doi:10.1109/mprv.2013.26

Cited by 90 publications

(44 citation statements)

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“…The soil matric potential sensor output voltage in the range 0-2.5 V is pre-calibrated (Spaans, 1992) to measure the relative indication of saturated to very dry state of the soil, in terms of soil matrix potential varying in the range of 1-70 kPa. The nodes within the greenhouse are deployed using a grid-height deployment scheme (Pahuja et al, 2013).…”

Section: Greenhouse Network Tiermentioning

confidence: 99%

“…It runs a greenhousededicated application software named GEMCS (greenhouse microenvironment monitoring and control software), an advanced version of software as discussed by the authors (Pahuja et al, 2013). The software controls and synchronizes the operation of the greenhouse XMesh-WSN and the RS-485 actuator network for online monitoring and control of greenhouse microclimate.…”

Section: Server Tiermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…Even today, many issues in the greenhouse automation process require attention to improve greenhouse cropping. A novel preliminary system, based upon a recent wireless sensor network technology, has been implemented by the authors (Pahuja et al, 2013). The purpose of this system is to tackle problems that have not yet been addressed and that to a large extent are related to the knowledge of the greenhouse microenvironment, to automate the plant related greenhouse operations and decisions, and to provide online information access to vital greenhouse environment control parameters.…”

Section: Introductionmentioning

confidence: 99%

“…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 (wireless or wired) or by incorporating elements of control and actuation in the wireless nodes to form what is known as a wireless sensor and actuator network (WSAN) (Pahuja et al, 2013).With the continuous advancements in microelectronics, (Mehdipour et al, 2013).Pahuja et al An Intelligent Wireless Sensor and Actuator Network System for Greenhouse Microenvironment Control and Assessment Journal of Biosystems Engineering • Vol. 42, No.…”

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confidence: 99%

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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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Section: Greenhouse Network Tiermentioning

confidence: 99%

Section: Server Tiermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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