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

• Proceedings of the Korean Society of Computer Information Conference
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• 2009.01a
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• pp.437-440
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• 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
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• v.22 no.3
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• pp.107-119
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• 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
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• v.30 no.5
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• pp.641-650
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• 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
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• v.11 no.4
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• pp.22-31
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• 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.

• The Bimonthly Magazine for Agrochemicals and Plant Protection
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• v.4 no.10
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• pp.67-74
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• 1983

금년은 근래에 보기 드문 각종 농작물의 대풍의 해이다. 과실류의 작황 역시 풍작을 알리고 있다. 거기에다 농가소득증대 사업으로 특용작물의 재배가 권장됨에 따라 과실류생산은 해마다 증가되어 왔으나 가공처리는 이를 뒤따르지 못해 생산물의 대부분이 생식용으로 소비되어온 실정이다. 풍작으로 다량생산된 과실류의 안전 저장과 적기출하를 위한 각종 저장법을 사과$\cdot$배$\cdot$감귤류를 중심으로 알아보기로 한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2009.01a
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• pp.117-120
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• 2009

본 연구는 디자인패턴 설계유형에 따라 Mobile 장치를 이용하여 현장의 농작물 중 벼의 생육 정보 및 생산 정보와 GPS를 이용하여 농작물의 위치정보를 서버에 있는 DB에 사용자의 권한별로 삽입/삭제/수정/검색을 할 수 있고, GIS를 이용하여 사용자의 위치 및 벼의 위치 정보를 수치지도 상에 보여 주는 시스템을 구축한다.

• Proceedings of The Korean Society of Agricultural and Forest Meteorology Conference
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• 2001.06a
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• pp.109-112
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• 2001

농작물의 생육 및 작황은 내적으로는 품종 자체의 고유 특성과 외적으로는 재배기술, 토양환경, 기상환경 등에 크게 영향을 받는다. 이중 온도, 일조시수 등의 기상조건은 생육과 수량 형성에 직접적인 영향을 미치게 되며 작물의 고유특성인 출수기, 수량구성요소 등도 기상환경에 따라 변이를 나타낸다.(중략)

• Korean Journal of Remote Sensing
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• v.33 no.5_2
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• pp.617-620
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• 2017

The periodic monitoring of crop conditions and timely estimation of crop yield are of great importance for supporting agricultural decision-makings, as well as for effectively coping with food security issues. Remote sensing has been regarded as one of effective tools for crop condition monitoring and crop type classification. Since 2010, RDA (Rural Development Administration) has been developing technology for monitoring on crop condition using remote sensing and model. These special papers address recent state-of-the-art of remote sensing and geospatial technologies for providing operational agricultural information, such as, crop yield estimation methods using remote sensing data and process-oriented model, crop classification algorithm, monitoring and prediction of weather and climate based on remote sensing data,system design and architecture of crop monitoring system, history on rice yield forecasting method.

• The Journal of the Korea institute of electronic communication sciences
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• v.10 no.10
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• pp.1145-1156
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• 2015

There is a shortage of mobile application systems readily applicable to the field of crop cultivation in relation to diseases and insect pests directly connected to the quality of crops. Most of system have been devoted to diseases and insect pests that would offer full predictions and basic information about diseases and insect pests currently. But for lack of the instant diagnostic functions seriously and the field of crop cultivation, we design and implement a crop cultivation field-oriented smart diseases and insect pests information retrieval system based on mobile for u-Farm. The proposed system had such advantages as providing information about diseases and insect pests in the field of crop cultivation and allowing the users to check the information with their smart-phones real-time based on the Lucene, a search library useful for the specialized analysis of images, and JSON data structure. And it was designed based on object-oriented modeling to increase its expandability and reusability. It was capable of search based on such image characteristic information as colors as well as the meta-information of crops and meta-information-based texts. The system was full of great merits including the implementation of u-Farm, the real-time check, and management of crop yields and diseases and insect pests by both the farmers and cultivation field managers.