• Journal of the Korean Association of Geographic Information Studies
• /
• v.11 no.4
• /
• pp.22-31
• /
• 2008

Recently, with the develop of the location tracking technology using GPS and mobile device such as PDA and UMPC, it is used in various application fields that is coordinate transformation and compensation using GPS, is client development for Mobile GIS using GIS and is development of surface survey system for archaeological site based on mobile. In this paper, we develop the system that can investigate the growth information and production information of rice in crop of the field using mobile device, show position information of user and rice in digital map using GIS and save the investigated crop information and position information in database in server. The system which is developed in this paper consists of modules that the user management module is able to restrict database approaches in authority by of the user, the crops management module is able to save and search crop information in database in server, the map module is able to show position information of user and crops in digital map, the location information module is able to convert received location information from GPS and the communication module is able to send and receive data between GPS and mobile device and between mobile device and database. Finally, this paper shall contribute to efficient management and investigation of birth information of crop in field.

• Proceedings of the Korean Society of Crop Science Conference
• /
• 2005.08a
• /
• pp.75-87
• /
• 2005

Remote sensing(RS)- and geographic information system(GIS)-based information management to measure and assess agri-environment schemes, and to quantify and map environment indicators for nature and land use, climate change, air, water and energy balance, waste and material flow is in high demand because it is very helpful in assisting decision making activities of farmers, government, researchers, and consumers. The versatility and ability of RS and GIS containing huge soil database to assess agricultural environment spatially and temporally at various spatial scales were investigated. Spectral and microwave observations were carried out to characterize crop variables and soil properties. Multiple sources RS data from ground sensors, airborne sensors, and also satellite sensors were collected and analyzed to extract features and land cover/use for soils, crops, and vegetation for support precision agriculture, soil/land suitability, soil property estimation, crop growth estimation, runoff potential estimation, irrigated and the estimation of flooded areas in paddy rice fields. RS and GIS play essential roles in a management and monitoring information system. Biosphere-atmosphere interection should also be further studied to improve synergistic modeling for environment and sustainability in agri-environment schemes.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2012.04a
• /
• pp.1318-1321
• /
• 2012

교실 현대화 또는 교과교실 지원 사업에 의하여 현재 대부분의 학교는 2D 형 LCD 타입의 전자칠판을 설치하여 운용하고 있으며, 현재는 3D 전자칠판의 도입이 활성화되고 있는 시기이다. 본 연구는 상호응답형 3D 전자칠판에 대한 연구이다. 상호응답형 3D 전자칠판의 구성은 영상을 제어를 위한 AD보드, 3D 변환을 위한 3D변환 포맷터, 해상도 제어를 위한 FRC보드로 결합되며, 상호응답형 전자칠판을 구현하기위해 {x,y,z} 좌표 축출을 위한 전자팬 및 양안 카메라 기술을 적용했다. 또한 실시간 3D 판서 운용을 위한 3D 판서소프트웨어에 대한 구현 방법과 운용 구성에 대하여 연구했다.

• Proceedings of the Korean Society of Crop Science Conference
• /
• 2004.10a
• /
• pp.84-85
• /
• 2004

• Korean Journal of Agricultural and Forest Meteorology
• /
• v.19 no.3
• /
• pp.174-179
• /
• 2017

Soil parameters are required inputs to crop models, which estimate crop yield under a given environment condition. The Korean Soil Information System (KSIS), which provides detailed soil profile record of 390 soil series in the HTML (HyperText Markup Language) format, would be useful to prepare soil input files. Korean Soil Information System Processing Tool (KSISPT) was developed to aid generation of soil input data based on the KSIS database. Java was used to implement the tool that consists of a set of modules for parsing the HTML document of the KSIS, storing data required for preparing soil input file, calculating additional soil parameter, and writing soil input file to a local disk. Using the automated soil data preparation tool, about 940 soil input data were created for the DSSAT model and the ORYZA 2000 model, respectively. In combination with soil series distribution map at 30m resolution, spatial analysis of crop yield could be projected under climate change, which would help the development of adaptation strategies.

• Korean Journal of Remote Sensing
• /
• v.36 no.4
• /
• pp.515-525
• /
• 2020

This study investigates the potential of bidirectional long short-term memory (Bi-LSTM) for efficient modeling of temporal information in crop classification using multitemporal remote sensing images. Unlike unidirectional LSTM models that consider only either forward or backward states, Bi-LSTM could account for temporal dependency of time-series images in both forward and backward directions. This property of Bi-LSTM can be effectively applied to crop classification when it is difficult to obtain full time-series images covering the entire growth cycle of crops. The classification performance of the Bi-LSTM is compared with that of two unidirectional LSTM architectures (forward and backward) with respect to different input image combinations via a case study of crop classification in Anbadegi, Korea. When full time-series images were used as inputs for classification, the Bi-LSTM outperformed the other unidirectional LSTM architectures; however, the difference in classification accuracy from unidirectional LSTM was not substantial. On the contrary, when using multitemporal images that did not include useful information for the discrimination of crops, the Bi-LSTM could compensate for the information deficiency by including temporal information from both forward and backward states, thereby achieving the best classification accuracy, compared with the unidirectional LSTM. These case study results indicate the efficiency of the Bi-LSTM for crop classification, particularly when limited input images are available.

• Proceedings of the Korean Society of Crop Science Conference
• /
• 2018.04a
• /
• pp.196-196
• /
• 2018

• Korean Journal of Remote Sensing
• /
• v.34 no.5
• /
• pp.829-846
• /
• 2018

Crop monitoring can provide useful information for farmers to establish farm management strategies suitable for optimum production of vegetables. But, traditional monitoring has used field measurements involving destructive sampling and laboratory analysis, which is costly and time consuming. Unmanned Aerial vehicle (UAV) could be effectively applied in a field of crop monitoring for estimation of cultivated area, growth parameters, growth disorder and yield, because it can acquire high-resolution images quickly and repeatedly. And lower flight altitude compared with satellite, UAV can obtain high quality images even in cloudy weather. This study examined the possibility of utilizing UAV in the field of crop monitoring and was to suggest the application method for production of crop status information from UAV.

• Proceedings of the Korean Society of Crop Science Conference
• /
• 2017.06a
• /
• pp.365-365
• /
• 2017

Yogurt is a food produced by bacterial fermentation of milk and the bacteria used to make it are known as "yogurt cultures". Most of them belong to probiotics such as Lactobacillus delbrueckii subsp. bulgaricus and Streptococcus thermophilus bacteria. Domestic fermented milk market is increasing and about 30 companies are producing yogurt. The purpose of this study was to analyze the quality characteristics of domestic commercial semisolid type yogurt. We collected 20 types of commercial yogurt at local markets. Physicochemical properties including pH, sugar content, acidity, viscosity and microbial characteristics of lactic acid bacteria counts were measured. The yogurt showed pH 4.5, 7.4~18.1% of sugar contents, 0.6~1.3% of total acids and 282~748 cP of viscosities. In the microorganism populations, lactic acid bacteria count were 6.5~11.5 Log CFU/mL and anaerobic lactic acid bacteria count were 7.2 ~ 11.1 Log CFU/mL. The quality characteristics were different depending on the constituents of the sample and the microorganisms used. These results are related to the quality characteristics of yogurts which are useful information about identifying new trends in domestic fermented milk industry.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
• /
• v.13 no.2
• /
• pp.145-152
• /
• 2020

In this paper, we propose the Crop Classification Management System (CCMS) that detects changes in growth environment to improve crop production rate. The CCMS consists of two modules. First, the Crop Classification Module (CCM) classifies crops through CNN. Second, the Farm Anomaly Detection Module (FADM) detects abnormal crops by comparing accumulated data of farms. The CCM recognizes crops currently grown on farms and sends them to the FADM, and the FADM picks up the weather data from the past to the present day of the farm growing the crops and applies them to the Nelson rules. The FADM uses the Nelson rules to find out weather data that has occurred and adjust farm conditions through IoT devices. The performance analysis of CCMS showed that the CCM had a crop classification accuracy of about 90%, and the FADM improved the estimated yield by up to about 30%. In other words, managing farms through the CCMS can help increase the yield of smart farms.