• Journal of Digital Convergence
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• v.15 no.2
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• pp.183-190
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• 2017

Recently the scale and area of greenhouse cultivation have been enlarged in Korea, and its importance in domestic agriculture is being increased. According to these situation, environment control systems are widely used in greenhouses. Even though development of greenhouse facilities and control devices, cultivation skill using them is in lower level more than european countries and Japan. In this study, we propose intelligent information system based on information-communication technology that supports environment control systems. Proposed system is able to support to maintain optimal environment for plant growth using data from environment control system, and also give useful knowledge for cultivation by active way. Furthermore, it estimates future status of plant growth, and suggest best strategy of environment control for current stage.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2000.05a
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• pp.59-62
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• 2000

In cope with insufficient agricultural labor and requirement of high quality product Hydroponics is a really good method. It makes the high density agriculture possible and all the growing environments controllable. So its research is so much progressing to maximize the quantity and quality of farm products. Furthermore, the big progress, in the research of a future agriculture, is systematically conducted for the automatic controlled system. In this paper, a new approach to the automation of the cultivation in a green house is suggested and a practical automatic control cultivation system is implemented. To automatically control and optimize the very nonlinear and time-varying growth of farm products, a hybrid strategy(FECA; Fuzzy Expertized Control Algorithm) is proposed which serially combines a fuzzy expert system with the fuzzy logic control. The fuzzy expert system(FMES; Fuzzy Model-based Expert System) is intended to overcome the non-linearity of the growth of farm products. The part of fuzzy controller is incorporated to solve the time-variance of the growth of farm products. Finally, the efficiency and the effectiveness of the implemented agricultural automation system is presented through the cultiviation results.

• Journal of Digital Convergence
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• v.18 no.3
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• pp.171-177
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• 2020

Under the influence of the Fourth Industrial Revolution, there are many tries to promote productivity enhancement and competitiveness by adapting smart farm technology that converges ICT technologies in agriculture. This smart farming technology is emerging as a new paradigm for future growth in agriculture. The development of real-time cultivation environment monitoring and automatic control system is needed to implement smart farm. Furthermore, the development of intelligent system that manages cultivation environment using monitoring data of the growth of crops is required. In this paper, a fast and efficient development method for implementing a cloud-based smart farm management system using a highly compatible and scalable web platform is proposed. It was verified that the proposed method using the web platform is effective and stable system implementation through the operation of the actual implementation system.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2005.11a
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• pp.143-146
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• 2005

생활환경이 새로운 패러다임으로 변해가고 있다. 유비쿼터스 환경을 앞당기기 위하여 산업체 전반에 걸쳐 변화를 거듭하고 연구가 지속되고 있다. 유비궈터스 환경은 농업 분야에도 적용되어 농산물의 재배와 수확에 이르기까지 전반적인 형태를 변화 시키고 있다. 재배 시설을 원격지에서 제어함으로써 적절한 재배환경을 지원할 수 있도록 하여 환경변화 관리를 효율적으로 할 수 있으며, 사용자의 성향에 맞는 재배 환경 여건을 지능적으로 판단하고 제어 할 수 있는 시스템이 요구된다. 본 논문에서는 다양한 환경 즉, 온도, 습도, $CO_{2}$, 조도 등의 변화를 센서네트워크를 통하여 감지하고, 퍼지시스템을 통하여 환경변화를 추론하여 환기시설을 적절하게 제어할 수 있는 시스템과 알고리즘을 제안한다.

• Hwankyungkyoyuk
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• v.22 no.3
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• pp.83-96
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• 2009

This article extracted feasible elements for an environmental education program from the 'Intelligent Life', an integrated subject of the 7th elementary school curriculum, and designed a program for second graders in the elementary school and applied it to them in order to examine how the students' environmental altitudes changed. In the controlled class, the instruction followed the lessons specified in the 7th national curriculum faithfully while for the experimental class 1, only the inquiry activity-based environmental education program was applied. Moreover, in experimental class 2, the inquiry activity-based environmental education program was implemented and wrap-up activity was performed as well with the products. To verify the program, questionnaires on the change of environmental altitudes were distributed and analyzed total three times in the pretest, posttest 1(right after the program), and posttest 2(30 days after the program). T-test was carried out with the SPSS 12 program to verify the effect of the applied program. To make up for the quantitative analysis, qualitative analysis was also conducted. The followings show the results gained after the program was implemented. First, This program showed a significant difference(p<.05) in the students' formation of environmental altitudes. Second, it was verified that the inquiry activity-based environmental education class that reorganized the second grade elementary students' 'Intelligent Life' subject had a more positive effect in the cultivation of environmental altitude than the class that followed the present curriculum as it was. It will be necessary to perform follow-up researches on the relativity between curricula for kindergarteners and lower grade elementary school students.

• 제어로봇시스템학회:학술대회논문집
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• 1988.10b
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• pp.822-825
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• 1988

In this paper, we present a system which enables a real-time measurement of the number and also the body length of the fry (baby fish) using a line image sensor. Here, we consider a situation that fry are transported from a pond to another, pond through a pipe. At one position of the pipe a transparent rectanglar channel is mounted. The images of the fry, which run through this rectanglar channel, are detected by a line image sensor. The image signals are digitized to binary ones and the contour of the fry are detected. After that, a real-time image analysis is executed with a digital signal processor. Labeling program analyses the connection of every pixel. The results are transfered to a personal computer and displayed on the online monitor graphically.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.18 no.4
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• pp.87-92
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• 2019

In this paper, a closed hydroponics device was designed and fabricated to grow and harvest plants in a small space for safe consumption, which enables horticultural activities that are difficult to perform due to space constraints from urbanization. This device also aimed to minimize the air pollution of crops. To obtain data for the optimal growth conditions for crops in this intelligent plant-growing system, sensors were used to measure and control the growth conditions. To investigate the optimal growth conditions, blue lettuce and crown daisy were selected as representative crops. The growth rates were comparatively analyzed through four experiments for each plant. This hydroponics device was used to collect data on growth rates that are altered depending on cultivation conditions, which can then be used to study methods to control the growth rate of crops.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.11a
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• pp.818-821
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• 2020

The artificial intelligence software market is developing in various fields world widely. In particular, there is a wide variety of applications for image recognition technology using deep learning. This study intends to apply image recognition technology to the 'Home Gardening' market growing rapidly due to COVID-19, and aims to build a small-scale smart farm in the house using artificial intelligence and IoT technology for convenient crop cultivation for busy people living in cities. This intelligent farm system includes an automatic image recognition function and recommendation function based on temperature and humidity sensor-based indoor environment analysis.

• Journal of the Korean Institute of Intelligent Systems
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• v.14 no.5
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• pp.545-550
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• 2004

The study of available genotypes (biodiversity analysis) in bacterial communities is of growing importance in several fields such as ecology, environmental technology, clinical diagnostics, etc. These culture-independent genotyping techniques, especially amplifying 16S rRNA genes, attempt to overcome some shortcomings of conventional cultivation method. Biodiversity analysis based on molecular technique were laborious for base-calling chromatogram, trimming primer sites, correcting strand directions, electing representative operation taxonomic units (OTU), etc. Also, biologists wanted intuitively to confirm results of the above processes. For making up these demands, we developed the web application based on Folder-Process-Filter (FPF) modeling with correspondence to classical Model-View-Controller model. The model of web application leads to keep virtues of simplicity and directness for development and management of the stepwise web interfaces. The web application was developed in Perl and CGI on Linux workstation. It can be freely accessed from http://home.pusan.ac.kr/～genome/tools/rat.htm.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.27 no.1
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• pp.27-33
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• 2023

Demands for eco-friendly food materials are increasing rapidly because of increased interest in well-being and health care, deterioration of air quality due to fine dust, and various soil and water pollution. Aquaponics is a system that can solve various problems such as economic activities, environmental problems, and safe food provision of the elderly population. However, techniques for deriving the optimal growth environment should be preceded. In this paper, we intend to design an intelligent plant growth measurement system that considers the characteristics of existing aquaponics. In particular, we would like to propose a module configuration plan for learning data and judgment systems when providing a uniform growth environment, focusing on designing systems suitable for production sites that do not have high-performance processing resources among intelligent aquaponics production management modules. It is believed that the proposed system can effectively perform deep learning with small analysis resources.