• Proceedings of the Korean Society of Computer Information Conference
• /
• 2009.01a
• /
• pp.437-440
• /
• 2009

본 논문은 농작물 작황 정보의 의미를 보다 정확하게 이해하고 조작할 수 있도록 메타데이타를 정의하는 시멘틱스에 기반하여 정보를 검색하고, 사용자가 작황지역의 위치와 작물 특성을 제공함으로써 더 많은 정보를 획득하는 WebGIS기법을 제시하고자 한다. 그리고 이 논문은 작황정보를 WebGIS와 융합함으로써 위치정보를 획득할 수 있는 작황 정보 시스템을 구현하고자 한다. 사용자가 요청한 질의를 분석, 질의에 일치하는 정확한 지리정보를 제시하고 해당 지리정보와 연계되는 검색결과 서비스를 제공하고자 한다. 그래서 이 논문은 의미 기반 WebGIS정보를 시각화할 수 있는 시스템을 개발함으로써 편의성을 제공할 수 있다.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.11 no.3
• /
• pp.43-51
• /
• 2008

In this paper, we present WebGIS techniques that can acquire more information from users who offered information and location of region's crops. So that it can be search the information based on Ontology defining Metadata for understand and control more accurately. And this paper shows how to implement about prototype of crops information system for obtaining information of location. Our object is to offer results Service form search, to analyze question of user and to show the exact geographic information about question of user. So this paper can be provide convenience to users that can be show Semantic WebGIS system.

• Korean Journal of Remote Sensing
• /
• v.33 no.5_2
• /
• pp.751-762
• /
• 2017

A crop information system can provide information regarding crop distribution, crop growth conditions, crop yield in various forms such as monitoring, forecasting, estimation or analysis. This paper presents the design and construction of a crop information system based on data collected in Korea, USA, and China. Therein, climate data including temperature, precipitation,solar radiation are used to evaluate the impact on crop growth, NDVI (Normalized Difference Vegetation Index) data is used in crop monitoring, and crop map data is utilized for the management of crop distribution. The system has achieved three prominent results: 1) Providing information with high frequency, 2) Automatically creating the report through the analysis of the data, 3) The users to easily approach the system and retrieve the information.

• 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.

• Agrochemical news magazine
• /
• v.17 no.1 s.130
• /
• pp.18-21
• /
• 1996

• 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 Agricultural and Forest Meteorology Conference
• /
• 2001.06a
• /
• pp.143-146
• /
• 2001

농업기상정보는 농업경영에 있어 가장 기본이 되는 정보이다. 그날 그날의 영농관리를 위한 날씨정보뿐 아니라, 재배작목 또는 작부체계의 변경, 재배적지 판정, 작황진단, 병해충 발생의 예찰, 농업기상예보(agrometeorological forecasting) 등과 같은 의사결정지원정보에는 농업기상의 이용이 필수적이다. 그러나 현재 국가적 농업기상관측 인프라 구축이 미흡한 상황에서 이 같은 정보를 기대하기 어렵다.(중략)

• Journal of the Korean Association of Geographic Information Studies
• /
• v.22 no.3
• /
• pp.107-119
• /
• 2019

As the development of ICT and integration technology, many changes and innovations in agriculture field are implemented. The agricultural sector has shifted from a traditional industry to a new industrial form called the 6th industry combined with various advanced technologies such as ICT and IT. Various approaches have been attempted to analyze and predict crops based on spatial information. In particular, a variety of research has been carried out recently for crop cultivation and smart farms using drones. The goal of this study was to establish an agricultural drought monitoring system using drones to produce scientific and objective indicators of drought. A soil moisture sensor was installed in the drought area and checked the actual soil moisture. The soil moisture data was used by the reference value to compare and analyze the temperature and NDVI established by drones. The soil temperature by the drone thermal image sensor and the NDVI by the drone hyperspectral was analyzed the correlation between crop condition and soil moisture in study area. To verify this, the actual soil moisture was calculated using the soil moisture measurement sensor installed in the target area and compared with the drone performance. This study using drone drought monitoring system may enhance to promote the crop data and to save time and economy.

• Korean Journal of Remote Sensing
• /
• v.30 no.5
• /
• pp.641-650
• /
• 2014

Now global climate change is changing environmental factors, such as temperature and precipitation, which have a great effect on crop yields. Accordingly, crop yield forecast is becoming more important to global food supplies and sustainable development of rural areas. Worldwide, many countries, such as USA, China, Canada, and institutions, such as FAO, USDA, NASA, maintain the cooperative relationship to operate the crop monitoring system at both the national and global scale. This paper aims to investigate the current developments of crop monitoring systems in terms of information level, remotely-sensed data, and biophysical parameters, and to propose the direction of the advanced corp monitoring system based on remote sensing.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.21 no.4
• /
• pp.108-118
• /
• 2018

Recently, agricultural sector apply ICT technology such as Smart Farm to pursue innovation in the changing situation that is emerging as the fourth industrial revolution. However, this innovation requires techniques for forecasting and analyzing in various data bases and spatial information provides such infrastructure data. In this study, the cultivation area of Chinese cabbage, radish, garlic, onion, and red pepper were calculated and analyzed by year. The purpose of this analysis is to cope with sudden changes in vegetable crops and changes in cultivated area caused by weather changes to supply and demand of major vegetables and price instability. As a result of this study, spatial information based on time series information of vegetable complex will be used as efficient agricultural environment observation data, as well as interpretation of various spatial ranges such as the estimation of cultivation area using remote sensing.