• Title/Summary/Keyword: 생육 데이터 분석

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A Study on the Key Factors Affecting Big Data Use Intention of Agriculture Ventures in Terms of Technology, Organization and Environment: Focusing on Moderating Effect of Technical Field (농업벤처기업의 빅데이터 활용의도에 영향을 미치는 기술·조직·환경 관점의 핵심요인 연구: 기술분야의 조절효과를 중심으로)

  • Ahn, Mun Hyoung
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.16 no.6
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    • pp.249-267
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    • 2021
  • The use of big data accumulated along with the progress of digitalization is bringing disruptive innovation to the global agricultural industry. Recently, the government is establishing an agricultural big data platform and a support organization. However, in the domestic agricultural industry, the use of big data is insufficient except for some companies in the field of cultivation and growth. In this context, this study identifies factors affecting the intention to use big data in terms of technology, organization and environment, and also confirm the moderating effect of technical field, focusing on agricultural ventures which should be the main entities in creating innovation by using big data. Research data was obtained from 309 agricultural ventures supported by the A+ Center of FACT(Foundation of AgTech Commercialization and Transfer), and was analyzed using IBM SPSS 22.0. As a result, Among technical factors, relative advantage and compatibility were found to have a significant positive (+) effect. Among organizational factors, it was found that management support had a positive (+) effect and cost had a negative (-) effect. Among environmental factors, policy support were found to have a positive (+) effect. As a result of the verification of the moderating effect of technology field, it was found that firms other than cultivation had a moderating effect that alleviated the relationship between all variables other than relative advantage, compatibility, and competitor pressure and the intention to use big data. These results suggest the following implications. First, it is necessary to select a core business that will provide opportunities to generate new profits and improve operational efficiency to agricultural ventures through the use of big data, and to increase collaboration opportunities through policy. Second, it is necessary to provide a big data analysis solution that can overcome the difficulties of analysis due to the characteristics of the agricultural industry. Third, in small organizations such as agricultural ventures, the will of the top management to reorganize the organizational culture should be preceded by a high level of understanding on the use of big data. Fourth, it is important to discover and promote successful cases that can be benchmarked at the level of SMEs and venture companies. Fifth, it will be more effective to divide the priorities of core business and support business by agricultural venture technology sector. Finally, the limitations of this study and follow-up research tasks are presented.

Soil Moisture Monitoring and Recession Characteristics Analysis in Conifer Forest (침엽수 산림에서의 토양수분 모니터링과 감쇄특성 분석)

  • Hong, Eun-Mi;Choi, Jin-Yong;Yoo, Seung-Hwan;Nam, Won-Ho;Lee, Tae-Seok
    • Proceedings of the Korea Water Resources Association Conference
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    • 2010.05a
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    • pp.1686-1690
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    • 2010
  • 우리나라 면적의 약 67%에 이르는 660만ha의 산림 중 침엽수림은 혼효림을 포함하여 약 74%를 차지해 활엽수림보다 넓게 분포하고 있다. 이와 같이 넓은 산림은 가뭄, 홍수와 같은 수문현상과 관련이 있으며 강우에 따른 유출에의 기여하는 바가 클 뿐만 아니라 강우, 증발산, 침투 유출에 이르는 다양한 수문현상이 복합적으로 나타난다. 특히, 최근 임목밀도의 증가가 오히려 증발산량의 증가, 옆면에 의한 강우 차단량의 증가 등을 발생시켜 가뭄과 홍수 또는 산사태의 원인이 될 수 있으며, 수자원 함양을 저해하는 요소로 작용하고 있다는 우려의 목소리가 나오고 있다. 따라서 산림지역의 증발산과 관련 있는 토양수분의 지속적인 모니터링과 감쇄특성 및 토양수분 환경에 대한 연구는 중요한 요소 연구가 될 수 있다. 봄에서 여름으로 진행되는 시기에는 강우발생에 비해 수목의 생육이 활발하여 증발산에 따른 토양수분 변화 및 감소가 급격하게 일어나며, 여름에는 토양수분의 감소도 뚜렷한 반면, 강우사상도 많이 발생하여 이에 따른 변화폭이 크게 나타난다. 또한, 가을에서 겨울로 진행되는 시기에는 수목의 생육의 둔화와 기온 하강으로 인하여 토양수분 감쇄현상 및 변화가 적게 나타나 토양수분의 변화양상이 계절마다 다르게 나타난다. 이에 토양수분의 감쇄현상을 파악하면 곧 산림지역에서의 증발산량 및 토양수분 소비특성을 파악할 수 있기 때문에, 산림에서 실제 토양수분 모니터링과 이를 통한 시간별, 깊이별 토양수분 변화 및 감쇄현상을 파악하는 것은 중요하다. 따라서 본 연구에서는 침엽수 산림에서의 토층별 월별 토양수분의 감쇄특성을 분석하기 위하여 침엽수림에서 토양수분 장기 모니터링 시스템을 구축하여 시간별, 토층별 토양수분 모니터링을 실시하고, 이를 바탕으로 침엽수림에서의 토양수분 감쇄현상을 분석하였다. 또한 토양수분 데이터 및 기상자료를 활용하여 월별, 기간별 토양수분 감쇄곡선을 산정하고 감쇄상수를 비교하였으며, 감쇄특성에 대하여 비교 분석하였다.

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Characterization of an Antifungal Substance Isolated from Aerial Parts of Vitis vinifero L. (포도나무 (Vitis vinifero L.) 지상부로부터 분리한 항진균성 활성물질의 특성규명)

  • Lim, Tae-Heon;Youl, Kwon-Soon;Choi, Yong-Hwa
    • The Korean Journal of Pesticide Science
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    • v.11 no.2
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    • pp.82-86
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    • 2007
  • Methanol extract obtained from aerial parts of Vitis vinifero L. was successively fractionated with n-hexane, ethylacetate, n-butanol, and water. From ethylacetate fraction, an active compound was isolated through silica gel column chromatography and recrystallization, and was identified as Lup-20(29)-ene-3,28-diol on the basis of EI-MS data. The compound, at 100 mg $mL^{-1}$, inhibited the mycelial growth of Phytophthora capsici and Colletotrichum acutatum by 52.1 % and 40.8%, respectively.

Research Status for Drought Tolerance in Maize (옥수수 한발 내성에 관한 연구 현황)

  • Kim, Kyung-Hee;Moon, Jun-Cheol;Kim, Jae-Yoon;Kim, Hyo-Chul;Shin, Seung-Ho;Song, Ki-Tae;Lee, Byung-Moo
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.60 no.4
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    • pp.401-411
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    • 2015
  • Drought stress has detrimental effects on the seedling development, vegetative/ reproductive growth, photosynthesis, root proliferation, anthesis, anthesis-silking interval (ASI), pollination and grain yield in maize. Typically, two weeks before silking through pollination are an important time in maize life. Here we reviewed the effects of drought stress on growth, physiological/ molecular researches for drought tolerance, and breeding to genomics in maize. Drought stress during kernel development increases leaf dying and lodging, decreases grain filling period and grain yield. Physiological factors of drought stress/ effects are water content, water deficits, and water potential. Nowdays molecular marker assisted breeding method is becoming increasingly useful in the improvement of new germplasm with drought stress tolerance.

Anomaly Detection in Livestock Environmental Time Series Data Using LSTM Autoencoders: A Comparison of Performance Based on Threshold Settings (LSTM 오토인코더를 활용한 축산 환경 시계열 데이터의 이상치 탐지: 경계값 설정에 따른 성능 비교)

  • Se Yeon Chung;Sang Cheol Kim
    • Smart Media Journal
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    • v.13 no.4
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    • pp.48-56
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    • 2024
  • In the livestock industry, detecting environmental outliers and predicting data are crucial tasks. Outliers in livestock environment data, typically gathered through time-series methods, can signal rapid changes in the environment and potential unexpected epidemics. Prompt detection and response to these outliers are essential to minimize stress in livestock and reduce economic losses for farmers by early detection of epidemic conditions. This study employs two methods to experiment and compare performances in setting thresholds that define outliers in livestock environment data outlier detection. The first method is an outlier detection using Mean Squared Error (MSE), and the second is an outlier detection using a Dynamic Threshold, which analyzes variability against the average value of previous data to identify outliers. The MSE-based method demonstrated a 94.98% accuracy rate, while the Dynamic Threshold method, which uses standard deviation, showed superior performance with 99.66% accuracy.

Management Guidelines on the Large Old Trees as the Natural Monuments in Seoul, Incheon, and Gyeonggi Province through the Analysis of the Growing Environment (생육환경 분석을 통한 서울·인천·경기지역 천연기념물 노거수의 관리방안)

  • Lee, Seung Je
    • Korean Journal of Heritage: History & Science
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    • v.42 no.1
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    • pp.88-99
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    • 2009
  • This study was conducted to formulate management guidelines for Natural monumental old trees in Korea through survey of tree vigor and analysis of growing environments. A total of 20 old trees designated as natural monuments in Seoul, Incheon, and Gyeonggi Province were surveyed. The biological characteristics were surveyed with 4 items of species, ages and height of trees. The surrounding environments were surveyed with 2 items of location types and surroundings. The root conditions were surveyed with 2 items of denudation and molding depth. The health conditions were surveyed with 5 items of withering rate, cavity size, bark breakaway rate, damages by blight and insects, and growing tips. The soil conditions were surveyed with 6 items of PH, organic contents, valid phosphoric acid, transposal cations(K, Ca) and soil compaction. On the basis of outcomes of these research items, mutual relations among locations, growings and soil conditions of old trees were analyzed by carring out cross tabulation, correlation, and simple and multiple regression. Management guidelines were presented searching the factors effecting on the health of the monumental old trees. On the biological characteristics, the old trees designated as natural monuments were Pinus bungeana(4 trees), Juniperus chinensis(3 trees), Ginkgo biloba(3 trees), Poncirus trifoliata(2 trees). Actinidia arguta, Wisteria floribunda, Thuja orientalis, Quercus mongolica, Sophora japonica, Fraxinus rhynchophylla, Zelkova serrata, and Pinus densiflora. The tree height ranged from 4.2 to 39.2m, and root collar rounds ranged from 1.01 to 15.2m. On the surrounding environments, The location types ; Gardens(4), historical sites(5), residental sections(3) open agricultural fields(3), mountain hills(3), and near ocean beaches(1) and stream site(1). The surroundings ; 75% denudation of roots, molded more than 10cm except 4 trees(25%). On the health conditions, 1)Withering rate ; Ginkgo biloba(20%) in Yongmoon temple, (5%) in Saki-ri, kanwha-gun, and others had no withering rate. 2) Cavity size ; all subject had $5{\sim}100cm^3$ of cavity. 3) Bark breakaway rate ; Pinus bungeana in Soosong-dong, in the shrine of Confucius, in Samchung-dong, especially high rate of cavity(5~50%) in Seoul area and in Saki-ri, Kangwha-gun were high 45% brakeaway rate. 4) Damages by blight and insects was slight due to managements. 5Growing tips ; In cases of Juniperus chinensis in Changdeok palace and SunnogDang, seoul, growing tips were 1/2, presumably cause by air pollution, and in cases of Fraxinus rhynchophylla in Paju city and Pinus densiflora in BacksaDorip-ri, Icheon city, growing tips were fine, presumably because there were no moldings. On the Soil conditions, Soil pH ranged from 5.2 to 8.3, organic matter contents from 12% to 56%, phosphorus contents from 104 to 618ppm, soil compaction ranged from 7 to 28mm( among them, Denudation was severe with 21~28mm soil compactions in cases of Pinus bungeana in Soosong -dong, Thuja orientalis in Samchung -dong, Ginkgo biloba in the shrine of Confucius and in Yongmoon temple.) Results of cross tabulation, correlation, and regression analysis showed that molding depth was the most serious factor to deteriorate the tree vigor and cambium conductivity. In addition, soil acidity, organic matter contents, disease and insect damages and cambial detachment were also related to the tree vigor. Additional research of these relationships will be needed to conduct more detailed studies. Based on the relationships between the tree vigor and growing environments, it is considered that old trees should be managed to give them more growing spaces and less abuses. Also, molded soils should be removed and further soil-molding around the tree collar should be prohibited. For the construction of systematic management and removal of harmful factors, appropriative management according to spices, persistent monitering of damaged cases and construction of management system through the accumulation of data on the relationships of soil conditions are required.

A Study on Deep Learning Methodology for Bigdata Mining from Smart Farm using Heterogeneous Computing (스마트팜 빅데이터 분석을 위한 이기종간 심층학습 기법 연구)

  • Min, Jae-Ki;Lee, DongHoon
    • Proceedings of the Korean Society for Agricultural Machinery Conference
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    • 2017.04a
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    • pp.162-162
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    • 2017
  • 구글에서 공개한 Tensorflow를 이용한 여러 학문 분야의 연구가 활발하다. 농업 시설환경을 대상으로 한 빅데이터의 축적이 증가함과 아울러 실효적인 정보 획득을 위한 각종 데이터 분석 및 마이닝 기법에 대한 연구 또한 활발한 상황이다. 한편, 타 분야의 성공적인 심층학습기법 응용사례에 비하여 농업 분야에서의 응용은 초기 성장 단계라 할 수 있다. 이는 농업 현장에서 취득한 정보의 난해성 및 완성도 높은 생육/환경 모델링 정보의 부재로 실효적인 전과정 처리 기술 도출에 소요되는 시간, 비용, 연구 환경이 상대적으로 부족하기 때문일 것이다. 특히, 센서 기반 데이터 취득 기술 증가에 따라 비약적으로 방대해진 수집 데이터를 시간 복잡도가 높은 심층 학습 모델링 연산에 기계적으로 단순 적용할 경우 시간 효율적인 측면에서 성공적인 결과 도출에 애로가 있을 것이다. 매우 높은 시간 복잡도를 해결하기 위하여 제시된 하드웨어 가속 기능의 경우 일부 개발환경에 국한이 되어 있다. 일례로, 구글의 Tensorflow는 오픈소스 기반 병렬 클러스터링 기술인 MPICH를 지원하는 알고리즘을 공개하지 않고 있다. 따라서, 본 연구에서는 심층학습 기법 연구에 있어서, 예상 가능한 다양한 자원을 활용하여 최대한 연산의 결과를 빨리 도출할 수 있는 하드웨어적인 접근 방법을 모색하였다. 호스트에서 수행하는 일방적인 학습 알고리즘과 달리 이기종간 심층 학습이 가능하기 위해선 우선, NFS(Network File System)를 이용하여 데이터 계층이 상호 연결이 되어야 한다. 이를 위해서 고속 네트워크를 기반으로 한 NFS의 이용이 필수적이다. 둘째로 제한된 자원의 한계를 극복하기 위한 메모 공유 라이브러리가 필요하다. 셋째로 이기종간 프로세서에 최적화된 병렬 처리용 컴파일러를 이용해야 한다. 가장 중요한 부분은 이기종간의 처리 능력에 따른 작업을 고르게 분배할 수 있는 작업 스케쥴링이 수행되어야 하며, 이는 처리하고자 하는 데이터의 형태에 따라 매우 가변적이므로 해당 데이터 도메인에 대한 엄밀한 사전 벤치마킹이 수행되어야 한다. 이러한 요구조건을 대부분 충족하는 Open-CL ver1.2(https://www.khronos.org/opencl/)를 이용하였다. 최신의 Open-CL 버전은 2.2이나 본 연구를 위하여 준비한 4가지 이기종 시스템에서 모두 공통적으로 지원하는 버전은 1.2이다. 실험적으로 선정된 4가지 이기종 시스템은 1) Windows 10 Pro, 2) Linux-Ubuntu 16.04.4 LTS-x86_64, 3) MAC OS X 10.11 4) Linux-Ubuntu 16.04.4 LTS-ARM Cortext-A15 이다. 비교 분석을 위하여 NVIDIA 사에서 제공하는 Pascal Titan X 2식을 SLI로 구성한 시스템을 준비하였다. 개별 시스템에서 별도로 컴파일 된 바이너리의 이름을 통일하고, 개별 시스템의 코어수를 동일하게 균등 배분하여 100 Hz의 데이터로 입력이 되는 온도 정보와 조도 정보를 입력으로 하고 이를 습도정보에 Linear Gradient Descent Optimizer를 이용하여 Epoch 10,000회의 학습을 수행하였다. 4종의 이기종에서 총 32개의 코어를 이용한 학습에서 17초 내외로 연산 수행을 마쳤으나, 비교 시스템에서는 11초 내외로 연산을 마치는 결과가 나왔다. 기보유 하드웨어의 적절한 활용이 가능한 심층학습 기법에 대한 연구를 지속할 것이다

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Analysis of growth environment of Flammulina velutipes using the smart farm cultivation technology (병재배 팽이버섯의 스마트팜 재배를 통한 생육환경 분석)

  • Lee, Kwan-Woo;Jeon, Jong-Ock;Lee, Kyoung-Jun;Kim, Young-Ho;Lee, Chan-Jung;Jang, Myoung-Jun
    • Journal of Mushroom
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    • v.17 no.4
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    • pp.197-204
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    • 2019
  • In this study, smart farm technology was used by farmers cultivating 'CHIKUMASSHU T-011' in order to develop an optimal growth model for the precision cultivation of bottle-grown winter mushroom and the results of the same are mentioned herein. Farmers participating in the experiment used 60 ㎡ of bed area with 4 rows and 13 columns of shelf shape, 20 horsepower refrigerator, 100T of sandwich panel for insulation, 6 ultrasonic humidifiers, 12 kW of heating, and 20,000 bottles of Flammulina velutipes mushroom spores. The temperature, humidity, and carbon dioxide concentrations, which directly affect the growth of the mushroom, were collected and analyzed from the environmental sensors installed at the winter mushroom cultivation area. The initial temperature was found to be 14.5℃, which was maintained at 14℃ to 15℃ until the 10th day. In the restriction phase, the initial temperature was 4℃ and was maintained between 2℃ and 3℃ until the 15th day, while during the growth phase, it was maintained between 7.5℃ to 9.5℃. Analysis of the humidity data revealed initial humidity to be 100%, which varied between 88% to 98% during primordia formation period. The humidity remained between 77% to 96% until the 15th day, in the restriction phase and between 75% to 83% during the growth phase. The initial carbon dioxide concentration was 3,500 ppm and varied between 3,500 ppm to 6,000 ppm during primordia formation period and was maintained at 6,000 ppm until the 15th day. During the growth phase, the carbon dioxide concentration was found to be over 6,000 ppm. Fruiting body characteristics of 'CHIKUMASSHU T-011' cultivated in the farmhouse were as follows: Pileus diameter of 7.5 mm and thickness of 4.1 mm, stipe thickness of 3.3 mm, and length of 154.2 mm. The number of valid fruiting bodies was 1,048 unit per 1,400 mL bottle, and the individual weight was 0.71 g per unit. The yield of fruiting bodies was 402.8 g per 1,400 mL bottle.

Analysis of Growth and Flowering of Thymus quinquecostatus Using Smart Farming System (스마트 재배시스템을 활용한 백리향 생장 및 개화 분석)

  • Mi Hee Kim;Ui-Lim Choi;Hyeonbin Kim;Kwang Sang Kim;Min Sook Kim;Min Ji Kim;Seung Il Jeong;Gun Woong Lee
    • Proceedings of the Plant Resources Society of Korea Conference
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    • 2022.09a
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    • pp.84-84
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    • 2022
  • 백리향(Thymus quinquecostatus)은 꿀풀과의 낙엽반관목으로 국내에서 자생하는 허브 식물 중 하나이다. 백리향은 특유의 좋은 향기 및 항산화, 항염증, 항균, 미백 등의 효능을 가지는 각종 폴리페놀 성분을 함유하고 있어 의약품이나 기능성 식품, 화장품의 천연 소재 원료로 활용되고 있다. 국내에서 백리향은 재배 환경에 맞추어 주로 고산지대의 노지에서 재배되고 있다. 노지 재배는 지역, 시기, 기후 등의 외부환경에 영향을 받아서 백리향의 유효성분, 품질 및 생산성을 안정적으로 유지하기 어렵다는 한계를 가지고 있다. 따라서 본 연구에서는 스마트팜 시스템을 활용하여 백리향의 유효 성분 등을 안정적으로 얻기 위한 생장조건을 탐색하기 위해 4종의 Light Emitting Diode(LED) 광원과 4종의 토양 조성에 따라서 백리향의 생육조건을 수행하였다. LED는 white, purple, RGB1, RGB2를 사용하였으며, 토양은 상토:펄라이트 비율(상토, 5:1, 3:1, 1:1)로 조성하여 백리향 묘목을 이식한 뒤 생장과 개화시기를 분석하였다. 재배환경은 백리향 재배지의 기상 데이터를 참고하여 동일하게 설정하였으며, 총 8주 동안 생육상태를 관찰하였다. 연구 결과 백리향 재배 4주차에 일부 개체에서 봉오리가 올라오며 개화를 시작하였으며, 8주차에는 대부분의 조건에서 개화를 관찰할 수 있었다. 백리향의 지상부 면적을 비교한 결과 가장 우수한 생장을 보이는 조건은 토양은 3(상토):1(펄라이트) 비율로 분석되었다. 따라서 이번 연구 결과를 바탕으로 백리향 재배에 스마트팜 농업 기술을 활용한다면 기존 노지 재배 한계를 보완하여 안정적이고 지속적인 백리향을 생산할 수 있을것으로 기대된다.

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Changes in Air Temperature and Surface Temperature of Crop Leaf and Soil (기온과 작물 잎 및 토양 표면온도의 변화양상 분석)

  • Lee, Byung-Kook;Jung, Pil-Kyun;Lee, Woo-Kyun;Lim, Chul-Hee;Eom, Ki-Cheol
    • Journal of Climate Change Research
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    • v.6 no.3
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    • pp.209-221
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    • 2015
  • Temperature is one of the most important factors affecting crop growth. The diurnal cycle of the scale factor [Tsc] for air temperature and the surface temperature of crop leaf and soil could be estimated by the following equation : $[Tsc]=0.5{\times}sin(X+C)+0.5$. The daily air temperature (E[Ti]) according to the E&E time [X] can be estimated by following equation using average (Tavg), maximum (Tm) and minimum (Tn) temperature : $E[Ti]=Tn+(Tm-Tn){\times}[0.5{\times}sin\;\{X+(9.646Tavg+703.65)\}+0.5]$. The crop leaf temperature in 24th June 2014 was high as the order of red pepper without mulching > red pepper with mulching > soybean under drought > soybean with irrigation > Chinese cabbage. The case in estimating crop leaf surface temperature using air temperature and soil surface temperature was lower in the deviation compared to the case using air temperature for Chinese cabbage and red pepper. These results can be utilized for the crop models as input data with estimation.