Wireless Sensor Network-Based Greenhouse Environment Monitoring and Automatic Control System for Dew Condensation Prevention

Park, Dae-Heon; Park, Jang-Woo

doi:10.3390/s110403640

Cited by 120 publications

(59 citation statements)

References 11 publications

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“…It also provided an environment control facility for manual and automatic long-distance control and facilitated an optimized environment to grow paprika. 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.…”

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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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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“…It is majorly used for remote applications and the output which is directly proportional to the centigrade [3]. For its operation, the LM35 series can use either a single or dual power supply.…”

Section: Temperature Sensormentioning

confidence: 99%

“…Nowadays, the agribusiness increasingly banks on automation using computer based systems and usage of robotics for replacing the activities performed by man power, usually more superior in performance to human [2]. There is a huge demand in the production of machines required for agricultural land by integrating computer, electromechanical and information systems due to the increasing complexity in performing farming [3].…”

Section: Introductionmentioning

confidence: 99%

Monitoring the Turmeric Finger Disease and Growth Characteristics Using Sensor Based Embedded System —A Novel Method

Shanmugam¹,

Ramasamy²,

Paramasivam³

et al. 2016

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In this cyber era, novelty plays a prime role in the field of agriculture that majorly depends on computer-based measurements and control. Herein before, it was totally controlled and performed by the agriculturists. One of the technological innovative methods to measure and monitor the turmeric finger growth characteristics is the embedded system that is based on sensor array module such as flex sensor, temperature sensor and pH sensor. The experimental work has been designed and tested with five set of nodes and the growth of turmeric finger is tenuously monitored by measuring the change in flex resistance. Out of five nodes, two nodes were diseased. Deliberately, one node was left as such and the other node was treated with natural pesticides (pseudomonas and viride) to restrict the rhizome rot disease attack. After cultivation, it was found that the rhizome rot disease attack on the node which was treated with pesticides was comparatively lesser than the other node. The five different nodes have been used in the experimental work with an average flex sensor resistance of 3.962 cm/kΩ. In a nutshell, this proposed method manifests the farmers to detect the rhizome rot disease at its earlier stage and to prevent it as well by screening the growth of the turmeric fingers when it is under the soil.

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“…Modern agribusiness is becoming increasingly reliant on computer-based systems, automation, and robotics that are taking over many of the tedious tasks formerly performed by humans, with superior performance in most cases [2]. The increasing complexity of agricultural systems force the production of agricultural machines integrating mechanical, electronic, computer, and information systems [3]. There is a need for the new methodologies to meet the increasing complexity of agricultural systems and this leads to the emergence of precision agriculture which aims to improve the efficiency of operation of agricultural enterprises and also the quality and consistency of products by compensating the vagueness and uncertainty of the environment [4].…”

Section: Introductionmentioning

confidence: 99%

Sensor-Based Turmeric Finger Growth Characteristics Monitoring Using Embedded System under Soil

Shanmugam¹,

Ramasamy

2014

International Journal of Distributed Sensor Networks

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Modern agribusiness is becoming increasingly reliant on computer-based systems which was formerly performed by humans. One such technological innovation is the embedded system-based sensor array module such as flex sensor, temperature sensor, and pH sensor that have been used to monitor the turmeric finger growth characteristics. The experimental work has been tested with five different nodes and the average flex sensor resistance changes in five nodes are calculated. Among the five nodes, nodes II and V were diseased. Purposely node II was left as such and node V was treated with Pseudomonas and viride to restrict the Rhizome rot disease attack. As a result, after cultivation, it was found that the Rhizome rot disease attack on node V is comparatively lesser than node II. The greatest advantage of this method is that it helps the farmers to detect the Rhizome rot disease and also prevent it an early stage by monitoring the growth of the turmeric fingers when it is under the soil.

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Wireless Sensor Network-Based Greenhouse Environment Monitoring and Automatic Control System for Dew Condensation Prevention

Cited by 120 publications

References 11 publications

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

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

Monitoring the Turmeric Finger Disease and Growth Characteristics Using Sensor Based Embedded System —A Novel Method

Sensor-Based Turmeric Finger Growth Characteristics Monitoring Using Embedded System under Soil

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