• Title/Summary/Keyword: Smart agriculture

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Characterization of Newly Recorded Talaromyces veerkampii Isolated from Field Soil in Korea based on Morphology and Multigene Sequence Analysis

  • Mahesh Adhikari;Hyun Seung Kim;Hyo Bin Park;Ki Young Kim;In Kyu Lee;Eun Jeong Byeon;Ji Min Woo;Hyang Burm Lee;Youn Su Lee
    • The Korean Journal of Mycology
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    • v.50 no.4
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    • pp.347-355
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    • 2022
  • A fungal isolate belonging to the phylum Ascomycota was isolated and identified as Talaromyces veerkampii in 2017 during a survey of fungal diversity in field soils in Korea. This fungal isolate was identified and described based on macro- and micromorphological and molecular characterization. The identification was also based on partial 18S-ITS1-5.8S-ITS2-28S rDNA and calmodulin (CaM)-encoding gene sequencing data. Talaromyces veerkampii has not been previously reported in Korea. Thus, we report here a newly discovered species from soil in Korea along with its morphological and molecular characteristics.

Morphological and Molecular Characterization of the Newly Reported Penicillium pimiteouiense from Field Soil in Korea

  • Mahesh Adhikari;Hyun Seung Kim;Hyun Seung Kim;Ki Young Kim;In Kyu Lee;Eun Jeong Byeon;Ji Min Woo;Hyang Burm Lee;Youn Su Lee
    • The Korean Journal of Mycology
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    • v.50 no.3
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    • pp.205-215
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    • 2022
  • Penicillium pimiteouiense was discovered in South Korea during an investigation of fungal communities in soil collected from the Gyeongsangbuk-do province. In this study, we performed molecular analysis of this fungal isolate using internal transcribed spacer rDNA, β-tubulin, and Calmodulin gene sequences. We also performed morphological analysis using five agar media, potato dextrose, oatmeal, malt extract, czapek yeast extract, and yeast extract sucrose. In this study, the molecular and morphological analyses of P. pimiteouiense with detailed descriptions and figures has been carried out.

Technology and Standardization Trends on Smart Agriculture (스마트농업 기술 및 표준화 동향)

  • Min, J.H.;Park, J.Y.
    • Electronics and Telecommunications Trends
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    • v.33 no.2
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    • pp.77-85
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    • 2018
  • At present, agriculture in Korea is experiencing difficulties, such as a stagnation in farm income, an increase in imported agricultural products, a decrease in arable land, a decrease in the self-sufficiency rate of grain, a decrease in rural population, and aging. To solve these problems and vitalize the rural economy, our government is promoting its 6th industrialization policy, which links agriculture with primary industry, secondary, industry and tertiary industry, and as well as smart agriculture based on information and communication technology. Smart agriculture is an agriculture form used to improve the quality of life in rural areas through making greater efficiency and intelligence by applying ICT convergence technology to the whole entire process of agricultural production, distribution, and consumption in the areas of outdoor agriculture, facility horticulture, and livestock. Therefore, in this paper, we analyze the policy, technology, and standardization trends of domestic and foreign smart agriculture, and suggest ways to apply them to domestic smart agriculture during the in the introduction stage.

A Study on the Analysis of Agricultural and Livestock Operations Using ICT-Based Equipment

  • Gokmi, Kim
    • International journal of advanced smart convergence
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    • v.9 no.1
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    • pp.215-221
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    • 2020
  • The paradigm of agriculture is also changing to address the problem of food shortages due to the increase of the world population, climate conditions that are increasingly subtropical, and labor shortages in rural areas due to aging population. With the development of Information Communication Technology (ICT), our daily lives are changing rapidly and heralds a major change in agricultural management. In a hyper-connected society, the introduction of high-tech into traditional Agriculture of the past is absolutely necessary. In the development process of Agriculture, the first generation produced by hand, the second generation applied mechanization, and the third generation introduced automation. The fourth generation is the current ICT operation and the fifth generation is artificial intelligence. This paper investigated Smart Farm that increases productivity through convergence of Agriculture and ICT, such as smart greenhouse, smart orchard and smart Livestock. With the development of sustainable food production methods in full swing to meet growing food demand, Smart Farming is emerging as the solution. In overseas cases, the Netherlands Smart Farm, the world's second-largest exporter of agricultural products, was surveyed. Agricultural automation using Smart Farms allows producers to harvest agricultural products in an accurate and predictable manner. It is time for the development of technology in Agriculture, which benchmarked cases of excellence abroad. Because ICT requires an understanding of Internet of Things (IoT), big data and artificial intelligence as predicting the future, we want to address the status of theory and actual Agriculture and propose future development measures. We hope that the study of the paper will solve the growing food problem of the world population and help the high productivity of Agriculture and smart strategies of sustainable Agriculture.

Sensor Data Technology for Smart Agriculture (스마트 농업을 위한 센서 데이터 기술)

  • Kim, Young-Dong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2014.10a
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    • pp.861-864
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    • 2014
  • Recently, the growth control of crops is developed as one of essential factors for smart agriculture based on ubiquitous sensor network. It is reason of easiability for control of product quantity and management of product quality. In this paper, scenario of smart agriculture is investigated for domestic and foreign countries and currently used sensor data technologies is compared to support a series of technological systemization works for sensor data field of smart agriculture. The results of this paper can be used as basic data for smart agriculture standardizations which is currently under progress at domestic and abroad.

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Sensor Data Standardization Trends for Smart Agriculture and Livestock (스마트 농축산 센서 데이터 표준화 동향)

  • Kim, Young-Dong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2016.05a
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    • pp.594-597
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    • 2016
  • Smart agriculture and livestock is one of convergence technology which is combined smart technology based on ICT(Information and Communication Technology) and all processes of agriculture and livestock. Sensor data technology in smart agriculture and livestock is considered with important factor as base technology for measurement and collection of environment condition, management of product quality status. In this paper, Sensor technology and standardization trend for smart agriculture and livstock is investigated. Results of this study can be used as basic data for smart agriulture and livestock standardization which is curently under proecssing at domestic and abroad.

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Smart Fusion Agriculture based on Internet of Thing (사물 인터넷 기반의 농업 융·복합 연구)

  • Chae, Cheol-Joo;Cho, Han-Jin
    • Journal of the Korea Convergence Society
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    • v.7 no.6
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    • pp.49-54
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    • 2016
  • The IoT has attracted attention as one of the technologies that are applied to various industries and create new services. The IoT can utilize existing network technologies to create services by providing Internet connection between objects. Objects Personalized services can be created by collecting various data using the IoT. In the field of agriculture, we are promoting sustainable agriculture and enhancing competitiveness through the use of the IoT, and the convergence of IoT in agriculture is pushing for smart agriculture. In Korea, the Ministry of Agriculture, Food and Rural Affairs is preparing measures to spread smart farms to improve agricultural competitiveness using IoT technology. Therefore, we propose the development model of smart agriculture in the future through the case study on the IoT based on agriculture.