• The Journal of the Korea institute of electronic communication sciences
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• v.13 no.4
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• pp.851-858
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• 2018

In this paper, a temperature and humidity algorithm was proposed to enhance the economic efficiency and productivity of smart farm. The basic conditions of smart farms were analyzed, and the information exchange system between sensors and control objects in smart farms based on wireless communication was designed. Based on this, a temperature and humidity control algorithm was developed so that temperature, humidity and soil humidity within smart farm can be followed in predefined values for plant growth. To verify the validity of the proposed design methodology and control algorithm, a prototype of small scale smart farm based on 2.4GHz wireless communication were built and their validity was confirmed through repeated temperature and humidity test.

• The Journal of the Korea institute of electronic communication sciences
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• v.15 no.4
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• pp.695-702
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• 2020

Recently, as research on smart farms has been actively conducted, indoor environment control, such as a green house, has reached a high level. However, In the field of forestry where cultivation is carried out in outdoor, the use of ICT is still insufficient. In this paper, we propose LPWA-based forest growth environment collection and big data analysis system using ICT technology. The proposed system collects and transmits the field cultivation environment data to the server using small solar power generation and LPWA technology based on the oneM2M architecture. The transmitted data is constructed as big data on the server and utilizes it to predict the production and quality of forest products. The proposed system is expected to contribute to the production of low-cost, high-quality crops through the fusion of renewable energy and smart farms. In addition, it can be applied to other industrial fields that utilize the oneM2M architecture and monitoring the growth environment of agricultural crops in the field.

• Journal of the Korean Institute of Intelligent Systems
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• v.22 no.6
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• pp.675-680
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• 2012

Wind energy is currently the fastest growing source of renewable energy used for electrical generation around the world. Wind farms are adding a significant amount of electrical generation capacity. The increase in the number of wind farms has led to the need for more effective operation and maintenance. CMS(Condition Monitoring System) can be used to aid plant operator in achieving these goals. Its aim is to provide operators with information regarding th e health of their machine, which in turn, can help them improve operation efficiency. In this work, wind turbine fault diagnostic algorithm which can diagnose the mass unbalance and aerodynamic asymmetry of the blades is proposed. Proposed diagnostic algorithm utilizes both FFT(Fast Feurier Transform) of the signal from accelerometers installed inside of nacelle and simple diagnostic logic. Furthermore, to verify the applicability of the proposed system, 3W small sized wind turbine system is tested and physical experiments are carried out.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.8 no.3
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• pp.43-52
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• 2005

Evaluations of the fish farm influences on stream water quality may provide basic informations on watershed management to reduce environmental impact due to fish farm development and to conserve stream water quality in forested watershed area. In this research influent, effluent water in the fish farm and stream water qualities around Mt. Baegun area were monitored seasonally for six years and the following results were obtained. Due to the increase of pH in effluent water from the fish farm it was believed that alkalization of stream water can be accelerated by large scale development of fish farms in the forested watershed area. Also, effluent water from the fish farm increase of EC higher than influent and stream water. As a result of regression analyses, pH, EC, DO, water temperature, total amount of cation and anion in influent and effluent water of fish farm show high significance.

• Journal of Agricultural Extension & Community Development
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• v.9 no.1
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• pp.11-27
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• 2002

The objectives of this study were to categorize agriculture, to analyze perception of sustainable agriculture and to suggest the directions for improving farming practices in Korea. This study was conducted by review of literature and mail survey. The data was collected from 225 purposively sampled agricultural students by questionnaire. Major findings of the study were as follows; 1) According to the respondents, sustainable agriculture may bring positive effects on the betterment of land conservation, water management and animal protection. 2) The respondents expected that the sustainable agricultural practices may diminish the use of agricultural chemicals and increase safe agricultural products. 3) Sustainable agriculture needs more labor power, however, the number of small and middle-size farms in Korea would not be increased. 4) Even though the price of sustainable agriculture products increases, the respondents expected that rural economic condition would not be much improved because of sustainable agriculture. 5) Agricultural students responded that number of farmers in sustainable agriculture would be increased in the future.

• Korean Journal of Organic Agriculture
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• v.26 no.2
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• pp.181-202
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• 2018

Most of eco-friendly agrifood processing enterprises in Korean rural area are small and medium-sized business. For this reason, it's hard for eco-friendly agrifood processing enterprises to neither analyze business performance for efficient business management nor establish their own business plan for rational decision-making. Therefore it's necessary to design effective mathematical programming model and to make practical application which can support rational management decision-making ensuring the stable business activity of eco-friendly agrifood processing enterprises. Accordingly this paper focuses on the designing and its application of multi-objective mathematical programming model using goal programming to support rational decision-making of eco-friendly agrifood processing enterprise. Hansalimanseongmachum Food Inc. which runs soy bean processing business making tofu based on regional-based soybean farms around Anseong City will be the specific case to apply multi-objective mathematical programming model in practice. And it will suggest measures to support rational management decision-making of other eco-friendly agrifood processing enterprises.

• Journal of Environmental Health Sciences
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• v.35 no.3
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• pp.187-190
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• 2009

Cryptosporidium spp. were detected in 17 of 135 swine lagoon samples from five farms by 18S ribosomal DNA locus and PCR. Seventeen positive samples identified were included two distinctive genotypes C. suis and Cryptosporidium sp. based on a small-subunit rRNA gene-based PCR-restriction fragment length polymorphism analysis. Cryptosporidium spp. were detected out of farrowing, farrowing and nursery (mix), and finishing. Prevalence rate was 12.6% with infection rates between 3.7 and 18.5%. We concluded that Cryptosporidium oocysts can persist in treated lagoon and potentially contaminate surface water through improper discharge. This study was undertaken for the evaluation of the infection status of the genotypes of Cryptosporidium spp. in swine lagoon.

• Korean Journal of Veterinary Service
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• v.44 no.2
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• pp.61-71
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• 2021

Caseous lymphadenitis, caused by Corynebacterium pseudotuberculosis has been a predominant disease among small ruminants on farms, causing significant losses for farm producer in the larger part of goat rearing nations across the world, for over a century. However, the control measures have not been very effective due to the chronic and usually subclinical nature of the infection. This has caused significant financial losses due to chronic ill-thrift, carcass condemnation, decreased meat yields and low reproduction as well as animal welfare. The current status of caseous lymphadenitis, with updated reseach information to the etiology, pathogenesis, clinical signs, identification, prevalence, prevention and vaccination are delineated in the review.

• Smart Media Journal
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• v.12 no.3
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• pp.112-119
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• 2023

Shrimp farming has been becoming a new source of income for fishermen in South Korea. It is often necessary for fishers to measure the size of the shrimp for the purpose to understand the growth rate of the shrimp and to determine the amount of food put into the breeding pond. Traditional methods rely on humans, which has huge time and labor costs. This paper proposes a deep learning-based method for calculating the size of shrimps automatically. Firstly, we use fine-tuning techniques to update the Mask RCNN model with our farm data, enabling it to segment shrimps and generate shrimp masks. We then use skeletonizing method and maximum inscribed circle to calculate the length and width of shrimp, respectively. Our method is simple yet effective, and most importantly, it requires a small hardware resource and is easy to deploy to shrimp farms.

• Fisheries and Aquatic Sciences
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• v.26 no.7
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• pp.455-459
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• 2023

40 species of the family Caprellidae Leach, 1814 are recorded in Korean waters. Caprella aino Utinomi, 1943 was newly collected from seaweed farms from the southeastern waters of Korea. C. aino was firstly reported in Japanese waters in 1943. Adults of C. aino and Caprella mutica Schurin, 1935 are easily distinguished in that C. aino have pereonite II and gnathopod II without setae and two small tubercles of articulation of gills in pereonite III-IV, while C. mutica do pereonite II and gnathopod II covered with setae and those of pereonites III-VII with many tubercles. However, subadult C. mutica is hardly distinguishable from C. aino in that tubercles of pereonite III are less developed and they have inconspicuous setae of pereonite II and gnathopod II. Nevertheless, C. aino is distinguished from subadult C. mutica because adult C. aino have dorsal tubercles on pereonite IV, V, VI, VII unlike that of C. mutica. We report C. aino as a new record in Korean water with comparison of C. mutica.