• Title/Summary/Keyword: 농업기반시설

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Network Modeling of Paddy Irrigation System using ArcHydro GIS - ANGO Agricultural Water District - (ArcHydro를 이용한 GIS기반의 관개시스템 네트워크 모델링 - 안고농촌용수구역을 대상으로 -)

  • Park, Geun-Ae;Park, Min-Ji;Jang, Jung-Seok;Kim, Seong-Joon
    • Journal of the Korean Association of Geographic Information Studies
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    • v.10 no.1
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    • pp.73-83
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    • 2007
  • Network modeling of irrigation system that links irrigation facilities with stream is necessary to establish complicated rural water management system and to manage agricultural water effectively. This study attempted a network modeling for an agricultural water district called "ANGO" located in Anseongcheon watershed by connecting ArcHydro Model developed to control geographical information data in the field of water resources and AWDS(Agricultural Water Demand & Supply Estimation System) developed by KRC (Korea Rural Community & Agriculture Corporation). Network modeling was embodied by build topology between spatial objects of total 70 agricultural irrigation facilities (24 reservoirs, 18 pumping stations, 28 weirs) and stream network using ArcHydro Model. In addition, new menus were added in ArcGIS system for query and visualization of text-based AWDS outputs such as irrigation facilities information, water demand and supply analysis.

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Development of Evaluation Indicators of Greenhouse for Tomato Cultivation Using Delphi Survey Method (델파이 설문조사를 통한 토마토 재배시설 평가지표 개발)

  • Yu, In Ho;Cho, Myeong Whan;Lee, Eung Ho;Ryu, Hee Ryong;Kim, Young Chul
    • Journal of Bio-Environment Control
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    • v.21 no.4
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    • pp.466-477
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    • 2012
  • This study aimed to develop the comprehensive indicators which can be used for evaluating greenhouse for tomato cultivation. To achieve this aim, the study developed the evaluation indicators composed of evaluation items, grades and criteria by extracting preliminary evaluation items through analyzing the related papers and preceding studies, and conducting Delphi survey on an expert group. During the three surveys, the questions of closed-ended type were given to a panel of 100 experts - professors related to tomato cultivation and facilities, researchers and farmers (practical users). As a result, the finally established evaluation indicators consist of 4 categories and 39 specific evaluation items. The 4 categories are the structural factor of greenhouse, equipment factor of greenhouse, cultivation factor, and infrastructure factor. These factors consist of specific evaluation items of 9, 15, 7 and 8, respectively. In addition, on 39 specific evaluation items, weighted values were calculated and grades and criteria were established by collecting opinions of the experts. The newly developed evaluation indicators through this study will play an important role in developing new greenhouse models, considering things that should be complemented preferentially regarding in-use facilities, and improving the efficiency of projects supported by the government.

Preparation and Application of Cultivation Management Map Using Drone - Focused on Spring Chinese Cabbage - (드론 기반의 재배관리 지도 제작 및 활용방안 - 봄배추를 대상으로 -)

  • Na, Sang-il;Lee, Yun-ho;Ryu, Jae-Hyun;Lee, Dong-ho;Shin, Hyoung-sub;Kim, Seo-jun;Cho, Jaeil;Park, Jong-hwa;Ahn, Ho-yong;So, Kyu-ho;Lee, Kyung-do
    • Korean Journal of Remote Sensing
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    • v.37 no.3
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    • pp.637-648
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    • 2021
  • In order to support the establishment of a farming plan, it is important to preemptively evaluate crop changes and to provide precise information. Therefore, it is necessary to provide customized information suitable for decision-making by farming stage through scientific and continuous monitoring using drones. This study was carried out to support the establishment of the farming plan for ground vegetable. The cultivation management map of each information was obtained from preliminary study. Three cultivation management maps include 'field emergence map', 'stress map' and 'productivity map' reflected spatial variation in the plantation by providing information in units of plants based on 3-dimensions. Application fields of the cultivation management map can be summarized as follows: detect miss-planted, replanting decision, fertilization, weeding, pest control, irrigation schedule, market quality evaluation, harvest schedule, etc.

A Study on the Prediction of Strawberry Production in Machine Learning Infrastructure (머신러닝 기반 시설재배 딸기 생산량 예측 연구)

  • Oh, HanByeol;Lim, JongHyun;Yang, SeungWeon;Cho, YongYun;Shin, ChangSun
    • Smart Media Journal
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    • v.11 no.5
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    • pp.9-16
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    • 2022
  • Recently, agricultural sites are automating into digital agricultural smart farms by applying technologies such as big data and Internet of Things (IoT). These smart farms aim to increase production and improve crop quality by measuring the environment of crops, investigating and processing data. Production prediction is an important study in smart farm digital agriculture, which is a high-tech agriculture, and it is necessary to analyze environmental data using big data and further standardized research to manage the quality of growth information data. In this paper, environmental and production data collected from smart farm strawberry farms were analyzed and studied. Based on regression analysis, crop production prediction models were analyzed using Ridge Regression, LightGBM, and XGBoost. Among the three models, the optimal model was XGBoost, and R2 showed 82.5 percent explanatory power. As a result of the study, the correlation between the amount of positive fluid absorption and environmental data was confirmed, and significant results were obtained for the production prediction study. In the future, it is expected to contribute to the prevention of environmental pollution and reduction of sheep through the management of sheep by studying the amount of sheep absorption, such as information on the growing environment of crops and the ingredients of sheep.

Research Trends in Korean Healing Facilities and Healing Programs Using LDA Topic Modeling (LDA 토픽모델링을 활용한 국내 치유시설과 치유프로그램 연구 동향)

  • Lee, Ju-Hong;Lee, Kyung-Jin;Sung, Jung-Han
    • Journal of the Korean Institute of Landscape Architecture
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    • v.51 no.3
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    • pp.95-106
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    • 2023
  • Korean healing research has developed over the past 20 years along with the growing social interest in healing. The field of healing research is diverse and includes legislated natural-based healing. In this study, abstracts of 2,202 academic journals, master's, and doctoral dissertations published in KCI and RISS were collected and analyzed. As for the research method, LDA topic modeling used to classify research topics, and time-series publication trends were examined. As a result of the study, it identified that the topic of Korean healing research was connected with 5 types and 4 mediators. The five were "Healing Tourism," "Mind and Art Healing," "Forest Therapy," "Healing Space," and "Youth Restoration and Healing," and the four mediators were "Forest," "Nature," "Culture", and "Education". In addition, only legalized healing studies extracted from Korean healing research and the topics were analyzed. As a result, legalized healing research classified into four. The four types were "Healing Spatial Environment Plan", "Healing Therapy Experiment", "Agricultural Education Experiential Healing", and "Healing Tourism Factor". Forest Therapy, which has the largest amount of research in legalized healing, Agro Healing and Garden Healing which operate similar programs through plants, and Marine Healing using marine resources also analyzed. As a result, topics that show the unique characteristics of individual healing studies and topics that are considered universal in all healing studies derived. This study is significant in that it identified the overall trend of research on Korean healing facilities and programs by utilizing LDA topic modeling.

Agricultural Status of Lam Dong Province in Vietnam and the Strategy for Korea-Vietnam ODA International Cooperation Program in Agriculture (베트남 람동성의 농업현황 및 한-벳 ODA 농업협력사업 전략)

  • Cho, Joon-Hyeong;Jang, Hye-Ri;Lim, Jong-Min;Lee, Sok-Young;Kim, Wan-Seok
    • Journal of the Korean Society of International Agriculture
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    • v.23 no.5
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    • pp.465-474
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    • 2011
  • Agricultural environment of Lam Dong province, which is located in central highland area, is totally different from that of other lower areas in Vietnam. In Lam Dong province, abundant plant resources were naturally grown such as pine trees, taxus, and wild orchids, which can grow in high mountainous area. In Lam Dong, the field proportion of perennial crops was higher than that of annual crops. However, the field proportion and yields of vegetables were highest among the all cultivated crops, estimating 38% (36,552ha) and 72% (993,082MT), respectively. Especially in Da Lat, vegetables, flowers, orchids, and industrial crops were mainly produced because this area is geographically close to Ho Chi Minh city. And also in Da Lat, 64% (8,447ha) and 36% (4,777ha) of farm fields were used for producing annual and perennial crops, respectively, and the yields of fresh vegetables in this area was estimated to 213,478MT which was 21.5% of the whole yields in Lam Dong province. Thus Korea, Taiwan, Japan, France, and Holland have invested to agriculture in Da Lat for producing and exporting flowers, vegetables, and tea. In 2009, flower cultivation area of Da Lat was over 55% in Lam Dong province and average amount of values were 9,781 million USD, which was higher than that of al other crops. Thus following strategies could be suggested for the development of agriculture in Lam Dong province. The first, agricultural cooperation with Da Lat, Lam Dong, should be characterized to horticulture and floriculture, followed by supporting both appropriate R&D techniques and equipments. And then agricultural system should be made in relationship with the local companies. Finally, agricultural cooperation program should be conducted toward the direction for both donor and recipient countries.

Development of Greenhouse Cooling and Heating Load Calculation Program Based on Mobile (모바일 기반 온실 냉난방 부하 산정 프로그램 개발)

  • Moon, Jong Pil;Bang, Ji Woong;Hwang, Jeongsu;Jang, Jae Kyung;Yun, Sung Wook
    • Journal of Bio-Environment Control
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    • v.30 no.4
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    • pp.419-428
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    • 2021
  • In order to develope a mobile-based greenhouse energy calculation program, firstly, the overall thermal transmittance of 10 types of major covers and 16 types of insulation materials were measured. In addition, to estimate the overall thermal transmittance when the cover and insulation materials were installed in double or triple layers, 24 combinations of double installations and 59 combinations of triple installations were measured using the hotbox. Also, the overall thermal transmittance value for a single material and the thermal resistance value were used to calculate the overall thermal transmittance value at the time of multi-layer installation of covering and insulating materials, and the linear regression equation was derived to correct the error with the measured values. As a result of developing the model for estimating thermal transmittance when installing multiple layers of coverings and insulating materials based on the value of overall thermal transmittance of a single-material, the model evaluation index was 0.90 (good when it is 0.5 or more), indicating that the estimated value was very close to the actual value. In addition, as a result of the on-site test, it was evaluated that the estimated heat saving rate was smaller than the actual value with a relative error of 2%. Based on these results, a mobile-based greenhouse energy calculation program was developed that was implemented as an HTML5 standard web-based mobile web application and was designed to work with various mobile device and PC browsers with N-Screen support. It had functions to provides the overall thermal transmittance(heating load coefficient) for each combination of greenhouse coverings and thermal insulation materials and to evaluate the energy consumption during a specific period of the target greenhouse. It was estimated that an energy-saving greenhouse design would be possible with the optimal selection of coverings and insulation materials according to the region and shape of the greenhouse.

Predicting the Effects of Agriculture Non-point Sources Best Management Practices (BMPs) on the Stream Water Quality using HSPF (HSPF를 이용한 농업비점오염원 최적관리방안에 따른 수질개선효과 예측)

  • Kyoung-Seok Lee;Dong Hoon Lee;Youngmi Ahn;Joo-Hyon Kang
    • Journal of Wetlands Research
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    • v.25 no.2
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    • pp.99-110
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    • 2023
  • Non-point source (NP) pollutants in an agricultural landuse are discharged from a large area compared to those in other land uses, and thus effective source control measures are needed. To develop appropriate control measures, it is necessary to quantify discharge load of each source and evaluate the degree of water quality improvement by implementing different options of the control measures. This study used Hydrological Simulation Program-FORTRAN (HSPF) to quantify pollutant discharge loads from different sources and effects of different control measures on water quality improvements, thereby supporting decision making in developing appropirate pollutant control strategies. The study area is the Gyeseong river watershed in Changnyeong county, Gyeongsangnam-do, with agricultural areas occupying the largest proportion (26.13%) of the total area except for the forest area. The main pollutant sources include chemical and liquid fertilizers for agricultural activities, and manure produced from small scale livestock facilities and applied to agriculture lands or stacked near the facilities. Source loads of chemical fertilizers, liquid fertilizers and livestock manure of small scale livestock facilities, and point sources such as municipal wastewater treatment plants (WWTPs), community WWTPs, private sewage treament plants were considered in the HSPF model setup. Especially, NITR and PHOS modules were used to simulate detailed fate and transport processes including vegitation uptake, nutrient deposition, adsorption/desorption, and loss by deep percolation. The HSPF model was calibrated and validated based on the observed data from 2015 to 2020 at the outlet of the watershed. The calibrated model showed reasonably good performance in simulating the flow and water quality. Five Pollutants control scenarios were established from three sectors: agriculture pollution management (drainge outlet control, and replacement of controlled release fertilizers), livestock pollution management (liquid fertilizer reduction, and 'manure management of small scale livestock facilities) and private STP management. Each pollutant control measure was further divided into short-term, mid-term, and long-term scenarios based on the potential achievement period. The simulation results showed that the most effective control measure is the replacement of controlled release fertilizers followed by the drainge outlet control and the manure management of small scale livestock facilities. Furthermore, the simulation showed that application of all the control measures in the entire watershed can decrease the annual TN and TP loads at the outlet by 40.6% and 41.1%, respectively, and the annual average concentrations of TN and TP at the outlet by 35.1% and 29.2%, respectively. This study supports decision makers in priotizing different pollutant control measures based on their predicted performance on the water quality improvements in an agriculturally dominated watershed.

Analyzing the Applicability of Greenhouse Detection Using Image Classification (영상분류에 의한 하우스재배지 탐지 활용성 분석)

  • Sung, Jeung Su;Lee, Sung Soon;Baek, Seung Hee
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.30 no.4
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    • pp.397-404
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    • 2012
  • Jeju where concentrates on agriculture and tourism, conversion of outdoor culture into cultivation under structure happens actively for the purpose of increasing profit so continuous examination on house cultivation area is very important for this region. This paper is to suggest the effective image classification method using high resolution satellite image to detect the greenhouse. We carried out classification of greenhouse using the supervised classification and rule-based classification method about Formosat-2 images. Connecting result of two classification try to find accuracy improvement for greenhouse detection. Results about each classification method were calculated the accuracy by comparing with the result of visual detection. As a result, mahalanobis distance among the supervised methods was resulted in the highest detection. Also, it could be checked that detection accuracy was improved by tying with result of supervised method and result of rule-based classification. Therefore, it was expected that effective detection of greenhouse would be feasible if henceforward further study is performed in the process of connecting supervised classification and rule-based classification.

Analysis of Perception Changes of Residents According to the resident competency education in Non-Point Source Contaminated Areas (주민역량교육에 따른 비점오염관리지역 농민들의 인식변화 분석)

  • Jeongha Lim;Minhwan Shin;Nayeong Yu;Hyunjung Lee;Dongjin Kim
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.465-465
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    • 2023
  • 집중호우시 농경지에서 발생하는 흙탕물은 수질 및 수생태계를 오염시키며, 환경오염에 따른 사회·경제적 문제를 지속적으로 초래하고 있다. 정부와 지자체는 흙탕물 발생이 심각한 지역을 '비점오염원관리지역'으로 지정·고시하여 흙탕물 저감사업을 추진하였으나, 뚜렷한 성과를 나타내지 못하고 있는 실정이다. 최근 정부의 흙탕물 저감사업은 저감시설 설치 등과 같은 구조적 방법에서 발생원관리 중심으로 패러다임이 전환되고 있다. 농경지에서 발생하는 비점오염원의 발생원관리를 위해서는 주민들의 적극적인 참여가 필수적이나, 아직까지 주민들의 비점오염원에 대한 인식이 낮은 수준에 머무르고 있다. 따라서, 본 연구에서는 주민참여 거버넌스를 구축하여 주민들의 인식을 개선하고, 주민들의 참여를 유도하여 농촌지역 실정에 맞는 주민참여형 농업비점오염 관리의 기반을 마련하고자 하였다. 연구대상지는 강원도 비점오염원관리지역인 가아지구 내 강원도 인제군 인제읍 가아2리 마을일원으로, 본 연구의 참여농가는 총 10농가, 참여농지 면적은 21.81 ha이다. 참여농가를 대상으로2022년 10월 9일, 10월 16일, 10월 23일 총 3회에 걸쳐 주민 교육을 실시하였으며, 주기적인 설문조사를 통해 교육 진행에 따른 주민 인식 변화를 측정하였다. 설문조사는 교육참여자를 대상으로 3회 실시하였으며, 농업비점오염 개념, 최적관리기법의 이해, 비점오염저감 활동참여 의지에 관한 내용으로 구성하였다. 설문조사 점수에 대한 기준은 전혀아니다(1점), 그렇지않다(2점), 보통이다(3점), 그렇다(4점), 매우 그렇다(5점)로 선정하였다. 설문조사 결과 농업비점오염원의 대한 이해도는 1차 62점, 2차 66점, 3차 80점, 최적관리기법의 이해도는 1차 59점, 2차 64점, 3차 75점, 비점오염저감 활동참여 의지도는 1차 61점, 2차 73점, 3차 80점으로 나타났다. 1차 설문조사 결과 대비 3차설문조사 결과 농업비점오염의 개념 및 최적관리기법의 이해도는 22.5, 21.3% 증가하는것으로 분석되었으며, 비점오염저감 활동참여 의지도는 23.8% 증가하는 것으로 분석되었다. 조사 결과와 같이 교육을 통해 주민들의 인식이 전환된 것으로 분석되었으며, 비점오염원 저감활동에 대한 의지가 표준 이상으로 나타나 주민 참여 거버넌스 구축 연구를 통해 실질적인 농촌 비점오염 관리가 가능할 것이라 기대된다.

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