• 제목/요약/키워드: Agricultural environment data

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항공사진과 UAV를 이용한 농촌지역자원 주변환경의 시계열 변화 분석 - 충청남도 홍성군 결성면을 중심으로 - (Analysis of Time Series Changes in the Surrounding Environment of Rural Local Resources Using Aerial Photography and UAV - Focousing on Gyeolseong-myeon, Hongseong-gun -)

  • 안필균;엄성준;김용균;조한솔;김상범
    • 농촌계획
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    • 제27권4호
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    • pp.55-70
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    • 2021
  • In this study, in the field of remote sensing, where the scope of application is rapidly expanding to fields such as land monitoring, disaster prediction, facility safety inspection, and maintenance of cultural properties, monitoring of rural space and surrounding environment using UAV is utilized. It was carried out to verify the possibility, and the following main results were derived. First, the aerial image taken with an unmanned aerial vehicle had a much higher image size and spatial resolution than the aerial image provided by the National Geographic Information Service. It was suitable for analysis due to its high accuracy. Second, the more the number of photographed photos and the more complex the terrain features, the more the point cloud included in the aerial image taken with the UAV was extracted. As the amount of point cloud increases, accurate 3D mapping is possible, For accurate 3D mapping, it is judged that a point cloud acquisition method for difficult-to-photograph parts in the air is required. Third, 3D mapping technology using point cloud is effective for monitoring rural space and rural resources because it enables observation and comparison of parts that cannot be read from general aerial images. Fourth, the digital elevation model(DEM) produced with aerial image taken with an UAV can visually express the altitude and shape of the topography of the study site, so it can be used as data to predict the effects of topographical changes due to changes in rural space. Therefore, it is possible to utilize various results using the data included in the aerial image taken by the UAV. In this study, the superiority of images acquired by UAV was verified by comparison with existing images, and the effect of 3D mapping on rural space monitoring was visually analyzed. If various types of spatial data such as GIS analysis and topographic map production are collected and utilized using data that can be acquired by unmanned aerial vehicles, it is expected to be used as basic data for rural planning to maintain and preserve the rural environment.

영농폐비닐 수거율 결정요인 분석 (An Analysis of the Determinants of the Collection Rate of Agricultural Plastic Waste)

  • 이우엘;안동환
    • 농촌계획
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    • 제25권3호
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    • pp.11-18
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    • 2019
  • It is widely known that agricultural plastic waste incineration by farmers may cause big forest fire or fine dust in rural areas. Hence, how to increase the rate of collection and recycling of the agricultural plastic waste is of concern to policy makers especially for rural environment. The purpose of this study is to find the determinants of the collection rate of agricultural plastic waste. This study used the data from 'Research on Agricultural Waste' by the Korea Environment Corporation from year 2012 to 2015 for 163 regions. This study found that the compensation rate for collection, the frequency of collecting services, and the quality of waste are important to increase the collection rate. And the regions with more elderly and low income people are more likely to have higher collection rate. Finally, the chief producing regions that are specialized in a certain crop shows higher collection rate.

농촌 치유관광에서의 회복경험 (Restoration Experiences of Rural Healing Tourism)

  • 김경희;황대용
    • 농촌지도와개발
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    • 제26권3호
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    • pp.113-126
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    • 2019
  • The healing tourism has been growing rapidly in Korea. This study examines the restoration experience of rural healing tourism by qualitative method. The restoration environment is based on nature, and rural areas are the representative places for nature-based tourism. Therefore, this study aims to explore the meaning of restoration experiences of rural healing tourism. An in-depth interview process was used as the primary qualitative research method for this study. Nine interviews were given and from a thematic analysis of the data, six themes of restoration environments were emerged. The restoration environment of the rural settings are as follows; being away, fascination, extent, compatibility, healing nature, and leisure activity. Attention restoration theory provides a model that helps explain the results of this study. The results of this study can be useful for establishing effective marketing strategies through understanding the restoration environment in rural healing tourism.

토지피복도 정확도에 따른 SWAT 예측 오류 평가 (Evaluation of SWAT Prediction Error according to Accuracy of Land Cover Map)

  • 허성구;김기성;김남원;안재훈;박상헌;유동선;최중대;임경재
    • 한국물환경학회지
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    • 제24권6호
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    • pp.690-700
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    • 2008
  • The Soil and Water Assessment Tool (SWAT) model users tend to use the readily available input dataset, such as the Ministry of Environment (MOE) land cover data ignoring temporal and spatial changes in land cover. The SWAT model was calibrated and validated with this land cover data. The EI values were 0.79 and 0.85 for streamflow calibration and validation, respectively. The EI were 0.79 and 0.86 for sediment calibration and validation, respectively. With newly prepared landcover dataset for the Doam-dam watershed, the SWAT model better predicts hydrologic and sediment behaviors. The number of HRUs with new land cover data increased by 70.2% compared with that with the MOE land cover, indicating better representation of small-sized agricultural field boundaries. The SWAT estimated annual average sediment yield with the MOE land cover data was 61.8 ton/ha/year for the Doam-dam watershed, while 36.2 ton/ha/year (70.7% difference) of annual sediment yield with new land cover data. Especially the most significant difference in estimated sediment yield was 548.0% for the subwatershed #2. Therefore it is recommended that one needs to carefully validate land cover for the study watershed for accurate hydrologic and sediment simulation with the SWAT model.

농업분야 개인보호구 연구개발을 위한 관련 특허 동향분석 (An Analysis of Patent Trends in Research and Development on Personal Protective Equipment in Agriculture)

  • 김인수;김경란;이경숙;채혜선
    • 한국지역사회생활과학회지
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    • 제26권4호
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    • pp.647-659
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    • 2015
  • This study analyzes current technologies in personal protective equipment (PPE) and mechanisms that can be used in the agricultural field to provide data for research and development on PPE for farmers. There is growing awareness of the importance of PPE as part of efforts to reduce agricultural accidents, but data remain rare for developing PPE tailored to the farm work environment. In this regard, patent data on PPE can provide useful insights for facilitating relevant technologies and research. This study examines patents and utility models classified under the IPC code in Korea and other countries to analyze patented technologies and recent trends for the period from January 2003 to October 2014. Here Korea, the U.S., Japan, and Europe were considered. The results show that the number of patent applications for PPE remained steady without any sharp fluctuations. KIPO applications accounted for 43.5% of all cases, reflecting the highest proportion among the countries considered. Domestic applicants accounted for 94% of all cases. In Korea, patent applications were concentrated in safety gear for the face and eyes, indicating a high level of technology. The highest level of competition was observed for safety goggles in all countries. Some PPE technologies were dominated by a particular manufacturer. The analysis results for farming-related technologies show the current state of technologies and areas lacking technological development. This study analyzes patented technologies for PPE in Korea and other countries and recent research trends as part of the effort to develop PPE for workers in the farming and livestock industry. This study represents an early-stage effort to develop PPE for workers in the farming and livestock industry, and the results are expected to be useful for tailoring PPE to Korea's farming and livestock environment.

토양수분 수지계산에 의한 옥수수 포장에서의 토양수분 이동 예측 (Predicting Water Movement in the Soil Profile of Corn Fields with a Computer-Based STELLA Program to Simulate Soil Water Balance)

  • 김원일;정구복;이종식;김진호;신중두;김건엽
    • 한국토양비료학회지
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    • 제38권4호
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    • pp.222-229
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    • 2005
  • 단순1차원 STELLA 모델이 토양수분 수지계산에 의해 일리노이 옥수수 포장의 질소용탈을 예측하기 위하여 개발되었다. 이는 옥수수포장이라는 한정된 생태계 안에서의 물의 연간 유입량과 유출량을 산정하는데 물의 유입에는 강우량과 유출에는 유거, 증발산 및 배수량이 계산되었다. 모델에는 일일강우량과 증산량 등 2개의 기상자료가 이용되었고, 토양의 다양한 전환상수들이 토양의 물리화학성을 고려하여 일차식으로 계산되어 이용되었다. 모델의 결과는 토층에 따른 토양수분의 일일 변화량과 손실량이 산출된다. 모델에 의한 물 수지는 강우가 많았던 1993년은 늘어난 반면 강우가 적었던 1992년과 1994년에는 줄어들었다. 또한 유기물과 점토가 많은 토양에서 수분의 유출량이 적었다. 모델에 의한 토양 수분함량은 표준편차를 고려한 측정치와 토양통에 따라 22-78%, 토층에 따라 30-70%의 일치를 보였고, 이러한 불일치는 토양수분과 질소화합물의 확산 등 수평적 이동, 다른 형태의 질소 손실, 뿌리의 분포, 영농 형태 및 토양의 여러 특성들이 고려되지 않은 1차원 모델이기 때문이라 사료된다.

지역단위 농업환경 분석을 위한 연구 (A Study on the Analysis of the Regional Agricultural Environment)

  • 허장
    • 한국유기농업학회지
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    • 제9권4호
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    • pp.27-54
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    • 2001
  • This paper aims to provide a basic framework to make a regional plan for the environment-friendly agriculture. To prepare the regional plan is mandated by the Environment-friendly Agriculture Promotion Act of 1998. Here is proposed the input/output analysis framework, which includes the shifts of fertilizers, herbicides, pesticides, and livestock manures Basically, the discharged amount of polluted elements means the difference between the amount of the elements entered into the crop and livestock sectors and the amount of the elements absorbed or used by the crop and/or livestock. A few suggestions are offered for better regional environment-friendly agricultural plan. The foremost important thing is to establish a data collection system. The \"Green Accounting System\" is suggested. It is also crucial to create a standard guideline or manual which Provides detailed procedures to follow in making the plan by the local planners. More fundamentally, many experts on the regional planning will be demanded in the near future. Some compound model which links, for instance, the forestry, the livestock sector, and the crop sector, needs to be devised. Finally, it is argued here that more elaborated model will work as an integrated environmental improvement plan which embraces living environment as well as agricultural environment.vironment.

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농촌주거환경개선사업에 따른 농촌주거환경실태와 주민만족도 (Study on Rural Living Environment and Satisfaction by Improving Rural Hosing Renewal Project)

  • 김상범;조순재;강방훈;김혜민
    • 농촌계획
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    • 제9권3호
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    • pp.9-16
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    • 2003
  • The aim of this study is to analyze the improvement of housing renewal project and suggest the conditions of rural housing environment filled with the resident's desire, requirements concerning about characteristics of a rural environment and temporal and social requirements. The project for improvement of rural housing environment has been executed in a few ways: reform of the rural housing environment and the development of territories for settlement of a desolate region. To analyze and assess the accomplishments, we considered codes and process related to the project for improvement of rural housing environment and analyzed present conditions and problems through many reference books and administrative data. According to these results, devices in future business for improvement of rural housing environment are as follows; It should required a rational allocation of working space, living space, cultural activity space suitable for rural area characteristics and changed into uniformed system in various projects governed by different institutions.

농업기상 센서 데이터를 활용한 인삼재배 광환경 조절 연구 (Controlling Photo-Environment of Ginseng Cultivation Using Agricultural Weather Sensor Data)

  • 박정환;송수빈;서상영;전숙례
    • 센서학회지
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    • 제31권3호
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    • pp.180-186
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    • 2022
  • Photosynthetically active radiation flux density (PPFD) and daily light integral (DLI) values related to plant photosynthesis were obtained using the sunlight time and insolation data points in the agricultural weather sensor data for Jinan-gun, Jeollabuk-do, Korea from 2016 to 2020. The objective was to optimize the photo-environmental conditions for cultivating ginseng. The range of average monthly sunshine duration was 395.5-664.1 min, with the longest duration observed in June. The range of average annual accumulated daily insolation was 11.98-17.65 MJ·m-2. The range of average daily external DLI calculated from the insolation and solar time data was 22.3-36.1 mol·m-2·d-1, and the annual cumulative DLI was 8,156-13,175 mol·m-2·d-1. Both the insolation and DLI values were the highest in 2016 and lowest in 2020. Based on the PPFD required for ginseng growth (111-185 µmol·m-2·s-1), the monthly average daily DLI and monthly cumulative DLI were 3.51-5.87 and 82-228 mol·m-2·d-1, respectively. The range of five-year average value for the external monthly cumulative DLI was 298-1,459 mol·m-2·d-1, and the monthly cumulative DLI values when a black double shading film and blue-white shading film were applied were 101-496 and 36-175 mol·m-2·d-1, respectively. A comparative analysis of DLI values indicated that shading was required to ginseng growth throughout the year under natural light. When the black double shading film was used, shading was required from March to October. When the blue-white shading film was applied from April to August, (i.e., the period with active ginseng growth) the appropriate DLI for ginseng growth could be continuously maintained. Regional weather differences due to climate change are gradually increasing, and even in one region, monthly and cumulative DLI values are different every year. Therefore, in order to implement a precise agricultural environment for ginseng cultivation, precise analysis and continuous research using agricultural weather sensor big data is required.

Predicting Soil Chemical Properties with Regression Rules from Visible-near Infrared Reflectance Spectroscopy

  • Hong, Suk Young;Lee, Kyungdo;Minasny, Budiman;Kim, Yihyun;Hyun, Byung Keun
    • 한국토양비료학회지
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    • 제47권5호
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    • pp.319-323
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    • 2014
  • This study investigates the prediction of soil chemical properties (organic matter (OM), pH, Ca, Mg, K, Na, total acidity, cation exchange capacity (CEC)) on 688 Korean soil samples using the visible-near infrared reflectance (VIS-NIR) spectroscopy. Reflectance from the visible to near-infrared spectrum (350 to 2500 nm) was acquired using the ASD Field Spec Pro. A total of 688 soil samples from 168 soil profiles were collected from 2009 to 2011. The spectra were resampled to 10 nm spacing and converted to the 1st derivative of absorbance (log (1/R)), which was used for predicting soil chemical properties. Principal components analysis (PCA), partial least squares regression (PLSR) and regression rules model (Cubist) were applied to predict soil chemical properties. The regression rules model (Cubist) showed the best results among these, with lower error on the calibration data. For quantitatively determining OM, total acidity, CEC, a VIS-NIR spectroscopy could be used as a routine method if the estimation quality is more improved.