Jangwoo Park

A Study on Greenhouse Automatic Control System Based on Wireless Sensor Network

The system proposed in this paper collects temperature of leaves and humidity on leaves of crop. As well as greenhouse environmental information such as temperature, humidity, etc. Crop diseases, especially, have deep relationship not only with indoor environmental factors but also with humidity lasting time on leaves and temperature of leaves. Accordingly, monitoring crop itself is as important as monitoring indoor environments. Using these collected greenhouse environmental data, indoor environments can be more effectively controlled, and monitoring crop itself can contribute to improve productivity and to prevent crops from damages by blight and harmful insects. In addition, it will be possible for farmers to do control plant growth through closely studying relationship between indoor environmental information and monitored information on crop itself. Collected data can be stored to database either in server installed in greenhouse or to remote server. It is made possible to collect information and control effectively and automatically greenhouse in the site or from a remote place through web browser. System components are: temperature sensor, humidity sensor, leaf temperature sensor, leaf humidity sensor, Zigbee based wireless sensor node, relay nodes for automatic control, and data server to store greenhouse information. The system is implemented using low power wireless components, and easy to install.

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

Dew condensation on the leaf surface of greenhouse crops can promote diseases caused by fungus and bacteria, affecting the growth of the crops. In this paper, we present a WSN (Wireless Sensor Network)-based automatic monitoring system to prevent dew condensation in a greenhouse environment. The system is composed of sensor nodes for collecting data, base nodes for processing collected data, relay nodes for driving devices for adjusting the environment inside greenhouse and an environment server for data storage and processing. Using the Barenbrug formula for calculating the dew point on the leaves, this system is realized to prevent dew condensation phenomena on the crop’s surface acting as an important element for prevention of diseases infections. We also constructed a physical model resembling the typical greenhouse in order to verify the performance of our system with regard to dew condensation control.

Localization Algorithm Design and Implementation to Utilization RSSI and AOA of Zigbee

In this paper, we has implemented the localization algorithm through RSSI and AOA of Zigbee. The RSSI (Received Signal Strength Indicator) method is used for the localization of Zigbee and affected a lot by intensity, distance and interruption of signals. The combined algorithm of AOA (Angle of Arrival) and RSSI has been designed and implemented to make up the weaknesses of RSSI. As long as we knew, although the previous system has been implemented and used through the UWB (Ultra Wide-Band) or CSS communication methods, the firstly implemented system is the location recognition algorithm through RSSI and AOA of Zigbee. In this paper has obtained the result from the repeated tests to achieve the measurement of location with the accuracy of average 35 ~ 36 cm when the suggested system was placing the beacon on the four corners of 2 dimensional rectangular space with 4m wide and 2m long, and the receiver on the random space.

Design of Ubiquitous Glass Green Houses

Green House is one of the representative models of modern agriculture business. As IT fields develop rapidly we study the methodology of applying IT to agriculture. This paper proposes a Ubiquitous glass Green Houses Management System (U-GHMS) based on USN (Ubiquitous Sensor Network) which can be real-time monitoring and controlling of Green houses facilities by collecting environment and soil information with environment and soil sensors, and CCTV camera. The system can remotely monitor and control green house by considering environment information. The system includes the Sensor Manager and the CCTV Manager to gather and manage green house information with the soil and the environment sensors, and camera. Also the system has the Green House Database storing green house information and the Green House Server transmitting greenhouse information to the GUI and controlling green house. Finally, the GUI showing green house condition to users exists in our system. To verify the executability of the U-GHMS, after developing a green house model, we confirm that our system can monitor and control the green house condition at remote GUI by applying the U-GHMSs components to the model.

An Agricultural Expert Cloud for a Smart Farm

In agricultural environments, know-how and experience of skillful agricultural experts, who may are farmers, researchers, market analysts, distribution specialists, and so on, have been more important roles than ever. Especially, for farmers newly trying to cultivate a high value crops, the knowledge and the experience of experts for the crops will be very important factors for successful cultivation. So, for higher productivity and better quality, the valuable information has to be able to be supplied easily and quickly to a user in agricultural environments. Cloud computing technologies may suggest a potential service model to do that through Internet and various state-of-edge technologies based on IT. In this paper, we introduce a service model based on an agricultural expert Cloud to support a smart farm service in ubiquitous agricultural environments. The introduced service is based an expert system, in which the knowledge and the experience of the various fields related in agriculture is accumulated. So, by easily gaining the valuable knowledge and experience about a specific crop through the expert Cloud, a user can efficiently and successfully cultivate any crops in ubiquitous agricultural environments.

AoA Localization System Design and Implementation Based on Zigbee for Applying Greenhouse

In this paper, we showed AoA localization system design and implementation based on Zigbee for applying Greenhouse. The proposed system can be realized with low-cost. Our system can provide various applications in the Greenhouse. That can be output forecasts or equipment control by sector. In this paper, We build a testbed and has obtained the result from the repeated tests to achieve the measurement of location with the accuracy of average 35 cm.

A Novel Model for Greenhouse Control Architecture

This paper proposed the Greenhouse Control System (GCS) for high adaptability in greenhouse control devices and application services. The system is divided into the Greenhouse Control Engine (GCE) and the Crop Growth Engine (CGE). The GCE consists of Data Aggregator (DA), Greenhouse Information Storage (GIS), and Greenhouse Control Agent (GCA). The GCA includes Information Analyzer (IA), Control Device Selector (CDS), and Greenhouse Model (GM). The GCA selects control devices by referencing the aggregated greenhouse’s information and the climate set-points. In this process, we apply the arbitrary greenhouse model to the GCA. And the CGE consists of Crop Status Information Storage (CSIS) and Crop Growth Agent (CGA). The CGA decides the climate set-points by applying the arbitrary crop growth model. The CGA has Crop Condition Predictor (CCP), Environment Set-points Decisioner (ESD), and Crop Growth Model (CGM). By interacting of each component, this system provides with the greenhouse control service and the crop growth prediction service. The greenhouse control service monitors the inside and outside climate of a greenhouse and controls the control devices of a greenhouse on the GCA. The crop growth prediction service predicts the crop growth status by considering the meteorological data and business data. Finally we showed the executing result by implementing the GCS.

One-to-One Embedding between Honeycomb Mesh and Petersen-Torus Networks

As wireless mobile telecommunication bases organize their structure using a honeycomb-mesh algorithm, there are many studies about parallel processing algorithms like the honeycomb mesh in Wireless Sensor Networks. This paper aims to study the Peterson-Torus graph algorithm in regard to the continuity with honeycomb-mesh algorithm in order to apply the algorithm to sensor networks. Once a new interconnection network is designed, parallel algorithms are developed with huge research costs to use such networks. If the old network is embedded in a newly designed network, a developed algorithm in the old network is reusable in a newly designed network. Petersen-Torus has been designed recently, and the honeycomb mesh has already been designed as a well-known interconnection network. In this paper, we propose a one-to-one embedding algorithm for the honeycomb mesh (HMn) in the Petersen-Torus PT(n,n), and prove that dilation of the algorithm is 5, congestion is 2, and expansion is 5/3. The proposed one-to-one embedding is applied so that processor throughput can be minimized when the honeycomb mesh algorithm runs in the Petersen-Torus.

Ad-Hoc Localization Method Using Ranging and Bearing

In Ad-hoc sensor networks, it is very essential for sensors to know their own positions exactly which provide the context to sensed data. Sensors in Ad-hoc sensor networks enable to locate their positions from a relatively small number of landmarks that know their coordinates through external means (e.g., GPS). In this paper, we assume that sensor nodes can measure the distances and relative bearings to neighboring nodes within their transmission range. The proposed method will utilize the distances and relative bearings to find the locations of nodes. Firstly, sensors nearest landmarks will locate their position and then in order nodes more hops far from landmark will. We utilize many landmark coordinates and multiple paths to a landmark to improve the accuracy of the position. Simulation results under the various conditions have been obtained and especially compared with the results using DV-hop and DV-distances.

Greenhouse Environment Monitoring and Automatic Control System Based on Dew Condensation Prevention

Dew condensation on the leaf surface of greenhouse crops causes diseases by fungus, and thus badly affecting the growth of the crops. In this paper, we present a WSN based automatic control system to prevent dew condensation in the greenhouse environments. The system is composed of sensor nodes for collecting data, base nodes for processing collected data, relay nodes for adjusting the environment inside a greenhouse and an environment server for storage and processing of collected data. Using the Barenbrug formula for calculating the dew point on the leaves, this system is realized to prevent a dew condensation phenomenon on the crops surface acting as an important element in diseases generation. We also constructed a test bed the usual greenhouse in order to verify the performance of our system with regard to dew condensation control.