Chang-Sun Shin

Study on an agricultural environment monitoring server system using Wireless Sensor Networks.

This paper proposes an agricultural environment monitoring server system for monitoring information concerning an outdoors agricultural production environment utilizing Wireless Sensor Network (WSN) technology. The proposed agricultural environment monitoring server system collects environmental and soil information on the outdoors through WSN-based environmental and soil sensors, collects image information through CCTVs, and collects location information using GPS modules. This collected information is converted into a database through the agricultural environment monitoring server consisting of a sensor manager, which manages information collected from the WSN sensors, an image information manager, which manages image information collected from CCTVs, and a GPS manager, which processes location information of the agricultural environment monitoring server system, and provides it to producers. In addition, a solar cell-based power supply is implemented for the server system so that it could be used in agricultural environments with insufficient power infrastructure. This agricultural environment monitoring server system could even monitor the environmental information on the outdoors remotely, and it could be expected that the use of such a system could contribute to increasing crop yields and improving quality in the agricultural field by supporting the decision making of crop producers through analysis of the collected information.

A Wireless Sensor Network-Based Ubiquitous Paprika Growth Management System

Wireless Sensor Network (WSN) technology can facilitate advances in productivity, safety and human quality of life through its applications in various industries. In particular, the application of WSN technology to the agricultural area, which is labor-intensive compared to other industries, and in addition is typically lacking in IT technology applications, adds value and can increase the agricultural productivity. This study attempts to establish a ubiquitous agricultural environment and improve the productivity of farms that grow paprika by suggesting a ‘Ubiquitous Paprika Greenhouse Management System’ using WSN technology. The proposed system can collect and monitor information related to the growth environment of crops outside and inside paprika greenhouses by installing WSN sensors and monitoring images captured by CCTV cameras. In addition, the system provides a paprika greenhouse environment control facility for manual and automatic control from a distance, improves the convenience and productivity of users, and facilitates an optimized environment to grow paprika based on the growth environment data acquired by operating the system.

Design and Implementation of Wireless Sensor Network for Ubiquitous Glass Houses

Recently, there are many researches to enable future ubiquitous environments based on wireless sensor network (WSN). Various sensing devices deployed in wireless sensor network collect meaningful data from physical environments and the data are delivered to neighbor node through radio interfaces for further processing. The representative application in WSN is a data collecting system, which monitors physical phenomena and gathers data around our life. In this system, sensor nodes can be considered as a kind of database and hosts connected to the Internet, in most cases, initiate some queries destined to WSN and collect query responses from WSN. In this study, the efficient use of limited energy efficiently for the WSN based large scale glass houses was researched. We designed an integration method which was based on WSN Gateway which integrated two different networks efficiently. To realize the proposed design, we implemented an efficient routing method and WSN Gateway in the wired and wireless integrated networks in ubiquitous glass houses.

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.

Healthcare home service system based on distributed object group framework

This paper suggests a healthcare home service system based on the Distributed Object Group Framework (DOGF) for ubiquitous healthcare in home environment. This system consists of 3 layers. The lower layer includes the physical sensors and devices for healthcare, as a physical layer. The middle layer is the DOGF layer. This framework supports the object grouping service and the real-time service to execute the healthcare application. Here, object group means the unit of logical grouped objects or healthcare sensors/devices for a healthcare service. We define these grouped objects as an application group, also sensors/devices as a sensor group. And this layer includes interfaces between application group at the upper layer and sensor group at the physical layer. The upper layer implements healthcare applications based on lower layers. With healthcare applications, we implemented the location tracking service, the health information service, and the titrating environment service. Our system can provide healthcare application services using the healthcare information from the physical healthcare sensors/devices, and also can be monitored and controlled the execution results of these services via remote desktops or PDAs.

An Approach for a Self-Growing Agricultural Knowledge Cloud in Smart Agriculture

Typically, most of the agricultural works have to consider not only fixed data related with a cultivated crop, but also various environmental factors which are dynamically changed. Therefore, a farmer has to consider readjust the fixed data according to the environmental conditions in order to cultivate a crop in optimized growth environments. However, because the readjustment is delicate and complicated, it is difficult for user to by hand on a case by case. To solve the limitations, this paper introduces an approach for self-growing agricultural knowledge cloud in smart agriculture. The self-growing agricultural knowledge cloud can offer a user or a smart agricultural service system the optimized growth information customized for a specific crop with not only the knowledge and the experience of skillful agricultural experts, but also useful analysis data, and accumulated statistics. Therefore, by using the self-growing agricultural knowledge cloud, a user can easily cultivate any crop without a lot of the crop growth information and expert knowledge.

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.

Design and Implementation of Wireless Sensor Networks Based Paprika Green House System

This research paper suggests the ‘Paprika green house system’ (PGHS), which collects paprika growth information and greenhouse information to control the paprika growth at optimum condition. The temperature variation range of domestic paprika cultivation facilities are relatively quite big and the facility internal is kept at relatively dry condition. In addition, the concentration of CO2 is not uniform, giving bad impact on the growth of paprika. In order to cope with these issues, the ‘Paprika green house system’ (PGHS) based on wireless technology was designed and implemented for the paprika cultivating farmers. The system provides with the ‘growth environment monitoring service’, which is monitoring the paprika growth environment data using sensors measuring temperature, humidity, illuminance, leaf wetness and fruit condition, the ‘artificial light-source control service’, which is installed to improve the energy efficiency inside greenhouse, and ‘growth environment control service’, controlling the greenhouse by analyzing and processing of collected data.

An Implementation of the Salt-Farm Monitoring System Using Wireless Sensor Network

In producing solar salt, natural environmental factors such as temperature, humidity, solar radiation, wind direction, wind speed and rain are essential elements which influence on the productivity and quality of salt. If we can manage the above mentioned environmental elements efficiently, we could achieve improved results in production of salt with good quality. To monitor and manage the natural environments, this paper suggests the Salt-Farm Monitoring System (SFMS) which is operated with renewable energy power. The system collects environmental factors directly from the environmental measure sensors and the sensor nodes. To implement a stand-alone system, we applied solar cell and wind generator to operate this system. Finally, we showed that the SFMS could monitor the salt-farm environments by using wireless sensor nodes and operate correctly without external power supply.