• 정보처리학회논문지D
• /
• 제12D권3호
• /
• pp.429-438
• /
• 2005

우리나라 농촌의 발전전략중 하나인 정밀과학 기술농업실현을 위해서는 작물별 통합기술정보시스템이 필요하다. 이 시스템은 웹 기반으로 작물생산자와 기술조언자를 위한 협업시스템이어야 하며, 실시간 정보 분석 및 지식제공이 가능하여야 한다. 본 논문에서는 상기 특성과 농업 분야 작물생산정보시스템이라는 특징을 가지고 이를 지원하는 작물 컴포넌트 등의 개발을 위한 방법론을 만들었다. 특별히 기존의 대단위 프로젝트에 적합한 마르미-III 방법론을 작물생산정보시스템을 위한 컴포넌트의 개발 특성에 적합하게 재조직화 하여 MCPI(Method for Crop Production Information system)를 제시하였다. 또한 현실문제의 적용가능성을 파악하기 위하여 MCPI에 기초하여 작물생산정보시스템 컴포넌트의 프로토타입을 개발하고 평가하였다. 평가결과 타 방법론과 비교하여 농작물분야에 최적화된 단위 컴포넌트 개발방법론이라는 것을 확인하였으며 비교결과를 논문에 기술하였다.

• 대한원격탐사학회지
• /
• 제33권5_2호
• /
• pp.751-762
• /
• 2017

작황 정보 시스템은 작물 분포, 작황 정보 및 생산량에 대한 모니터링, 예측, 추정 또는 분석과 같은 다양한 형태를 통해 정보를 제공하며 본 논문은 한국, 미국 및 중국 데이터를 기반으로 구축한 웹기반 작황 정보 시스템을 제안한다. 온도, 강수량 및 일사량의 기후 데이터는 작물 성장에 미치는 영향을 분석하는데 사용되었으며, NDVI 데이터와 작물구분도 데이터는 각각 작물 모니터링과 작물 분포 관리를 목적으로 사용되었다. 본 시스템은 3가지의 주요 장점을 갖고 있으며 이는 다음과 같다: 1) 높은 시간 해상도의 데이터를 통한 정보 제공, 2) 보유 데이터 분석을 통한 보고서 작성의 자동화, 3) 사용자의 편리성을 위한 기능 제공.

• 대한원격탐사학회:학술대회논문집
• /
• 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
• /
• pp.257-259
• /
• 2005

A crop management system was developed using Visual Basic and ArcGIS VBA. The system is operated on ArcGlS 8.3 with Microsoft Access MOB. Landsat +ETM, KOMPSAT-l EOC, ASTER VNIR and IKONOS panchromatic (pan) and multi-spectral (MIS) images were included in the system to understand what kind of agriculture-related information can be extracted for each images. Agriculture related data inventories using crop cover information such as texture and average pixel value of the crop based on cultivation calendar were designed ,and implemented. Three IKONOS images (May 25,2001, December 25,2001, October 23,2003) were loaded in the system to show crop cover characteristics such as rice, pear, grape, red pepper, garlic, and surface water cover of reservoir with field surveys. GIS layers such as DEM (Digital Elevation Model), stream, road, soil, land use and administration boundary were also supplied and can be overlaid with images to enhance the understanding the general agricultural characteristics and identifying the location easily.

• 한국농공학회논문집
• /
• 제47권7호
• /
• pp.3-9
• /
• 2005

A computer system for crop information was developed using Visual Basic and ArcGIS VBA. The system is operated on ArcGIS 8.3 with Microsoft Access MDB. Landsat +ETM, KOMPSAT-1 EOC, ASTER VNIR and IKONOS panchromatic (Pan) and multi-spectral (MIS) images were included in the system to extract agricultural land use items identifiable at various spatial resolutions of images. Agriculture related data inventories using crop cover information such as texture and average pixel value of each band based on crop cultivation calendar were designed and implemented. Three IKONOS images were loaded in the system to show crop cover characteristics such as rice, pear, grape, red pepper, garlic, and surface water cover of reservoir with field surveys. GIS layers such as DEM (Digital Elevation Model), stream, road, soil, land use and administration boundary were prepared to understand the related characteristics and identify the location easily.

• Journal of Biosystems Engineering
• /
• 제24권1호
• /
• pp.25-30
• /
• 1999

The effectiveness of many greenhouse environment control methodologies depends on the growth information of crops. Acquisition of the growth information of crops requires a non-invasive and continuous monitoring method. Crop growth monitoring system using digital imaging technique was developed to conduct non-destructive and intact plant growth analyses. The monitoring system automatically measures crop growth information sends an appropriate control signal to the nutrient solution supplying system. To develop the monitoring system, a linear model that explains the relationship between the fresh weight and the top projected leaf area of a lettuce plant was developed from an experiment. The monitoring system was evaluated buy successive lettuce growing experiments. Results of the experiments showed that the developed system could estimate the fresh weight of lettuce from a lettuce image by using the linear model and generate an EC control signal according to the lettuce growth stage.

• 한국작물학회:학술대회논문집
• /
• 한국작물학회 1998년도 21세기 한반도 농업전망과 대책(한국작물학회.한국육종학회 공동주관 심포지움 회보)
• /
• pp.415-445
• /
• 1998

For effective prevention of the spreading and outbreak of crop insects and disease pests, an intensive Pest surveillance system was established to predict their density changes, and distribution. After their initial establishment by either immigration or overwintering, it is necessary to anticipate how they spread out geographically and predict where/when outbreaks are possible. The two major tools, boundary layer atmospheric model (Blayer) and the geographic information system(GIS), have been being developed to facilitate the prediction of pest occurrence in recent days. We are also developing the PeMos (Pest Monitoring System) that is able to manage the pest surveillance data collected from 152 pest monitoring stations in Korea. These three system related to the pest surveillance should be integrated into an internet based comprehensive database management system to facilitate information resources systematically organized and closely linked. Considering various data types and large data size in each system, a new special information management system is suggested. The integrated system should express complex types of information, such as text, multimedia, and other scientific data under the Internet environment. This paper discussed the major three systems, GIS, Blayer, and PeMos, relevant to the crop pest surveillance, then how they can be integrated in a comprehensive system under the Internet environment.

• 한국농림기상학회지
• /
• 제19권3호
• /
• pp.174-179
• /
• 2017

토양 변수는 작물 모형을 통한 기후변화 시나리오 조건에서의 작황 예측에 있어 중요한 환경적 요소이다. 토양 환경 정보 시스템 (Korean Soil Information System; KSIS)에서는 390 개의 토양통에 대한 자세한 정보를 제공하고 있다. 그러나, 이러한 토양 정보는 HTML (Hyper Text Markup Language) 문서 형식으로 제공되고 있어 작물 모형용 토양입력 자료로 변환하는 데에 어려움이 있다. 이에 따라 KSIS의 토양정보를 기반으로 작물모델의 토양 입력자료를 생산하는 도구인 Korean Soil Information System Processing Tool (KSISPT) 를 개발하였다. 이 도구는 객체 지향 프로그래밍 언어인 JAVA로 작성되었으며 여러 개의 모듈로 구성되었다. 이 모듈들을 통해 각각 KSIS 웹 페이지 문서 분석, 토양 자료 저장, 추가 변수 생성, 토양 입력자료 출력 등의 기능이 구현되었다. 각 토양통의 특성을 고려한 총 940여개의 토양 입력 자료가 생성되었다. 이 토양 자료를 KSIS에서 제공하는 30m 해상도의 토양통 공간적 분포 지도와 함께 활용된다면, 미래 기후 조건에서 작물 생산성의 시공간적 분석이 용이해지고 이를 기반으로 기후 변화 적응 대책수립에 도움을 줄 수 있을 것이다.

• 한국정보전자통신기술학회논문지
• /
• 제13권2호
• /
• pp.145-152
• /
• 2020

본 논문에서는 작물의 생산 비율 향상을 위하여 생장 환경 변화를 탐지하는 CCMS(Crop Classification Management System)를 제안한다. CCMS는 첫째, CNN을 이용하여 이미지를 통해 작물의 종류를 구분하는 Crop Classification Module(CCM)과 둘째, 농장의 누적 데이터를 비교하여 농작물의 이상을 탐지하는 FADM(Farm Anomaly Detection Module)로 구성된다. CCMS의 CCM은 잎 이미지를 통하여 현재 농장에서 재배되는 작물을 인식하고 FADM에 전송하고, FADM은 해당 작물을 재배하는 농장의 과거부터 현재까지 기상데이터를 선택하여 그것을 넬슨 규칙에 적용한다. FADM은 넬슨 규칙을 통하여 이상이 발생한 기상데이터를 찾아내고, IoT 디바이스를 통하여 농장의 환경을 조절한다. CCMS의 성능분석 결과 CCMS의 CCM은 약 90%의 작물 분류 정확도를 갖고, FADM은 예측 수확량을 최대 약 30%가량 향상시키는 것으로 나타났다. 즉, CCMS를 통해 농장을 관리하는 것이 스마트 팜의 수확량 증가에 도움을 줄 수 있다.

• 한국작물학회:학술대회논문집
• /
• 한국작물학회 2004년도 춘계 학술대회지
• /
• pp.42-50
• /
• 2004

Societies are important sources of new information for users. However, most of these societies still rely on traditional, or rather ancient methods for gathering and servicing the information. Furthermore, most of the societies are trying to electrify processes such as managing members and paper submission as well as the process managing the information for service but are limited due to financial and technical reasons. Therefore, KISTI(Korea Institute of Science and Technology Information) has developed the ${\ulcorner}$KISTl-ACOMS (KISTI-Article Contribution Management System)${\lrcorner}$ as part of the national project for automating the process of processing academic information by societies, in order to convert journals published by academic societies in Korea into an electronic form and make them accessible on the Internet. This system has been developed in the year 2001 and has since been distributed to societies free of charge. The number of societies requesting the service has risen recently, which prompted us to take more recommendations of the societies that adopt this system into account in expanding and standardizing the area of service being provided by the system.

• Agribusiness and Information Management
• /
• 제10권2호
• /
• pp.8-17
• /
• 2018

Due to changes in the agricultural market environment and both overseas and domestic farming conditions, uncertainties in agricultural production and management are becoming greater. Hence, there is a stronger need for farmers to choose crops in the optimal condition. This research aims to introduce the result and process of developing a decision support system for selecting crops, aimed to assist farmers in selecting the optimal crops most suitable in the given situation. There are basically three main factors to consider in the decision-making process for farmers when selecting a crop to introduce to their lands. First of all, one must consider how much profit crop A will produce when it is cultivated. Secondly, one must consider which crop to cultivate in order to earn a certain amount of profit. Thirdly, one must consider what is the best way to maximize Farm A's business profit. For instance, a farm may have land as its resource, and one must research which location, type of crop, level of technology, and so forth, to maximize profit.This research creates a database of the profitability of a total of 180 crop types by analyzing Rural Development Administration's survey of agricultural products income of 115 crop types, small land profitability index survey of 53 crop types, and Statistics Korea's survey of production costs of 12 crop types. Furthermore, this research presents the result and developmental process of a web-based crop introduction decision support system that provides overseas cases of new crop introduction support programs, as well as databases of outstanding business success cases of each crop type researched by agricultural institutions.