• 한국환경농학회지
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• 제21권4호
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• pp.279-285
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• 2002

대전시 노은 도매 시장에서 채취한 과실류와 6종의 농약잔류량을 조사한 후 이에 대한 위해성 평가를 실시하였다. 전체 120건의 분석시료 중 70.8%가 농약 성분이 검출되었고 그중 1.67%가 잔류허용기준치을 초과하여 검출되었다. 검출 비율이 높은 시료는 사과 복숭아, 포도 등이었다. 검출된 성분에서 살충제는 유기인계, 합성 pyrethroid계, 유기염소계가 비슷한 비율로 검출되었고, 살균제에서는 특히 procymidone(dicarboximide계)과 chlorothalonil(유기염소계)의 검출비율이 높았다. 검출빈도가 높은 성분은 chlorothalonil, chlorpyrifos, fenvalerate, pocymidone, deltamethrin EPN의 순이었다. 위해성을 평가하기 위해서 각 농작물에 대한 농약의 추정섭취량과 ADI를 비교한 결과 추정섭취량의 비율이 1.221% 이하로 나타나 그 영향이 매우 낮은 것으로 판단되었다. 이것은 농약 잔류 허용기준치를 초과한 농작물인 복숭아에서 chlorothalonil, EPN에 대해서도 동일한 결과를 나타내었다.

• International Journal of Computer Science & Network Security
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• 제23권7호
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• pp.155-164
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• 2023

Machine learning with its high precision algorithms, Precision agriculture (PA) is a new emerging concept nowadays. Many researchers have worked on the quality and quantity of PA by using sensors, networking, machine learning (ML) techniques, and big data. However, there has been no attempt to work on trends of artificial intelligence (AI) techniques, dataset and crop type on precision agriculture using internet of things (IoT). This research aims to systematically analyze the domains of AI techniques and datasets that have been used in IoT based prediction in the area of PA. A systematic literature review is performed on AI based techniques and datasets for crop management, weather, irrigation, plant, soil and pest prediction. We took the papers on precision agriculture published in the last six years (2013-2019). We considered 42 primary studies related to the research objectives. After critical analysis of the studies, we found that crop management; soil and temperature areas of PA have been commonly used with the help of IoT devices and AI techniques. Moreover, different artificial intelligence techniques like ANN, CNN, SVM, Decision Tree, RF, etc. have been utilized in different fields of Precision agriculture. Image processing with supervised and unsupervised learning practice for prediction and monitoring the PA are also used. In addition, most of the studies are forfaiting sensory dataset to measure different properties of soil, weather, irrigation and crop. To this end, at the end, we provide future directions for researchers and guidelines for practitioners based on the findings of this review.

• Journal of Microbiology and Biotechnology
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• 제20권1호
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• pp.193-201
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• 2010

A specific and rapid real-time PCR assay for detecting Ralstonia solanacearum in horticultural soil and plant tissues was developed in this study. The specific primers RSF/RSR were designed based on the upstream region of the UDP-3-O-acyl-GlcNAc deacetylase gene from R. solanacearum, and a PCR product of 159 bp was amplified specifically from 28 strains of R. solanacearum, which represent all genetically diverse AluI types and all 6 biovars, but not from any other nontarget species. The detection limit of $10^2\;CFU/g$ tomato stem and horticultural soil was achieved in this real-time PCR assay. The high sensitivity and specificity observed with field samples as well as with artificially infected samples suggested that this method might be a useful tool for detection and quantification of R. solanacearum in precise forecast and diagnosis.

• Agribusiness and Information Management
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• 제4권2호
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• pp.22-31
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• 2012

Research and technology has been transforming the agriculture to agribusiness which encompasses all operations with all the connections from faming per se, to manufacture & distribution of production supplies and farm commodities. Further, with the revolutionary development of information technology in the last two decades, we cannot talk about agribusiness process alone without considering the information technology embedded in the artifact, process, and structure. Despite the emergence of precision agriculture (PA) which is supported by IT based innovations which can not only improve efficiency in farming operations but also contribute to environmental sustainability, the adoption of IT among farmers and in agriculture industry are rather low than expected. Thus, Korean government has been seeking to converge IT into food, agriculture, forestry and fisheries to improve the competency of the agribusiness, and much progress has been made. This paper investigated the status quo of the current IT convergence with Food, Agriculture, Forestry and Fisheries in Korea, and further proposed future policy directions.

• 한국환경농학회지
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• 제39권1호
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• pp.10-19
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• 2020

본 연구에서는 대구·경북지역 36개 폐광산 인근지역에서 생산되는 25개 농산물 1,059건에 대하여 카드뮴, 납, 비소 오염도 조사와 더불어 위험평가를 실시하였다. 정량한계는 카드뮴 0.59 ㎍/kg, 납 0.42 ㎍/kg, 총비소 0.55 ㎍/kg, 무기비소 화학종에서는 arsenite [(As(III)) 1.74 ㎍/kg], arsenate[(As(V)) 2.25 ㎍/kg]이었으며, 직선성은 모두 0.9995 이상으로 나타났고, 무기비소의 함량은 arsenite (As(III))와 arsenate(As(V))의 합으로 하였다. 평균 회수율은 카드뮴 96.3-97.7%, 납 95.8-98.2%, 총비소 96.1-98.0%, arsenite 94.8%, arsenate 115.4% 이었고, C.V.% (Coefficient of Varidation)는 모두 5% 미만으로 나타났다. 농산물의 중금속 평균 함량은 도라지 0.244±0.164 mg/kg, 대파 0.145±0.133 mg/kg, 참깨 0.124±0.136 mg/kg, 고사리 0.109±0.070 mg/kg, 취나물 0.103±0.093 mg/kg, 마늘 0.071±0.063 mg/kg의 순으로 카드뮴의 오염도가 높았고, 납은 참깨 0.040±0.085 mg/kg, 도라지 0.039±0.056 mg/kg, 고구마 0.034±0.058 mg/kg, 들깻잎 0.034±0.016 mg/kg, 호박 0.032±0.065 mg/kg, 매실 0.028±0.012 mg/kg의 순으로 높은 오염도를 보였다. 무기비소는 쌀에 한하여 조사되었는데 평균 0.082±0.035 mg/kg의 오염도를 보였다. 카드뮴의 경우 쌀 1.19×10^-1 ㎍/kg b.w./day(14.37% of PTMI), 대파 2.77×10^-2 ㎍/kg b.w./day(3.34% of PTMI), 감자 2.08×10^-2 ㎍/kg b.w./day(2.51% of PTMI), 사과 1.39×10^-2 ㎍/kg b.w./day(1.67% of PTMI), 양파 1.13×10^-2 ㎍/kg b.w./day(1.37% of PTMI)의 순이었고, 납의 경우 사과 1.29×10^-2 ㎍/kg b.w./day (2.05% of PTWI), 고구마 7.49×10^-3 ㎍/kg b.w./day (1.19% of PTWI), 쌀 7.15×10^-3 ㎍/kg b.w./day (1.14% of PTWI), 호박 5.01×10^-3 ㎍/kg b.w./day (0.79% of PTWI), 양파 4.80×10^-3 ㎍/kg b.w./day (0.76% of PTWI)의 순으로 납 노출량이 높았다. 본 연구의 조사대상 25개 품목 농산물을 모두 일시에 섭취한다고 가정하였을 경우, 카드뮴은 PTMI 대비 28.21%, 납은 PTWI 대비 7.94%, 무기비소는 쌀 단일품목에 한해 PTWI 대비 15.16%의 위해도를 보임으로써, 본 연구에서 진행하였던 중금속에 대한 인체 위해정도는 우려할 수준이 아닌 것으로 확인되었다.

• Asian-Australasian Journal of Animal Sciences
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• 제5권4호
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• pp.681-685
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• 1992

Experiment involved range vegetation classified into three major classes: Xerophytic trees, shrubs and grasses. Among them samples of major plant species were collected and analysed for chemical composition. The experimental animals 20 each of Thalli sheep and Teddy goats, located at Livestock Experiment Station Rakh Kharewala district Layyah (Pakistan) were randomly drawn from the main flock. The grazing pattern data were collected from one animal of each species. The observations regarding the grazing behaviour, breeding efficiency and carcass quality were also determined. It was found that overall preference index of Teddy goats were higher for Khabble (Cynodon dactylon) indicated by percent of the total number of bites made on different plant species, while the bites on Lumb (Aristida plumose), Mahabbat booti (Cenchrus biflorus), Dhaman (Cenchrus ciliaris) and Karera (Elionorus hirsutus) were found to be 1.28, 6.74, 0.32 and 3.87 percents. The browsing species as a whole were utilized more during the draught period. Among the grasses, sheep heavily utilized Khabble grass, with overall bite percentage of 89.27. Within browsing species Wan (Salvadora oleoides) and wind fallen dry leaves of Wan were considerably picked by the sheep showing 1.19 and 3.49 overall bite percentage respectively. The overall daily growth rates & dressing percentage for Teddy goats and Thalli sheep were 48.33, 39.00 and 51.00, 46.00 percent respectively. Moreover, among the experimental animals 50 percent goats exhibited signs of oestrus where as none of the sheep came into heat during the study period.

• 농촌계획
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• 제29권1호
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• pp.37-49
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• 2023

Active attention and effort are needed to develop an integrated water management system in response to climate change. In this study, it proposed models for cross-use of agricultural water and river maintenance water using sewage treatment water as an integrated water management system for the Yeongsan River. The impact of the integrated water management models was assessed by applying the concept of Nexus, which is being presented worldwide for sustainable resource management. The target year was set for 2030 and quantitatively analyzed water, energy, land use and carbon emissions and resource availability index by integrated water management models was calculated by applying maximum usable amount by resource. An integrated water management system evaluation model using the Nexus concept developed in this study can play a role that can be viewed in a variety of ways: security and environmental impact assessment of other resources. The results of this research will be used as a foundation for the field of in the establishment of a policy decision support system to evaluate various security policies, as we analyzed changes in other factors according to changes in individual components, taking into account the associations between water, energy, food, and carbon resources. In future studies, additional sub-models need to be built that can be applied flexibly to changes in the future timing of the inter-resource relationship components.

• 한국유기농업학회지
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• 제21권3호
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• pp.321-334
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• 2013

This case study surveyed management situations of environmentally friendly farming (EFF) and their awareness situations. Farmers are aging as an average age of 62-year old. The EFF did not increase farmer's income, however, farm income of EFF was more than that of conventional farming. Farm household liabilities showed large deviation among farmers. Livestock and greenhouse farm households have more liabilities because of facilities and feed cost. Farmers of EFF have been also cultivating conventional farming, but they don't plan much conversion intention of conventional farming into EFF owing to lack of differentiated and stable market for their environment-friendly agriculture products. And they are guessing that EFF income will usually not increase more. For increasing of EFF income, they think that it is necessary to enlarge production area, change to high-income crop, develop processing foods, change to organic farming and so on.

• 한국농공학회:학술대회논문집
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• 한국농공학회 2005년도 학술발표논문집
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• pp.7-13
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• 2005

There are two ways to mitigate the drought. One is the structural measures such as storage of irrigation water, development of emergency wells, etc. The other one is the nonstructural measures such as water saving management by the early warning system. To precast and evaluate the drought, we need to develop the drought indices for agriculture. In the present drought preparedness plans of Ministry of Agriculture and Forestry (MAF), it is prescribed that the preparedness levels should be classified by considering the precipitation, reservoir storage, soil moisture in paddy and upland, and the growing status of crops. However there are not clear quantitative criteria for consistent judgment. This shows that we have not selected and utilized the proper drought index for agriculture and we did not have the information system to calculate the drought indices periodically and warn the outbreak of the drought. The objectives of the study are to develope of Agricultural Drought Evaluation System and to evaluate this indices for current agricultural status using the system.

• 생물환경조절학회지
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• 제30권4호
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• pp.278-286
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• 2021

본 연구에서는 단면설계 및 열 교환 장치 위치 변경을 통해 온실의 구조 변경을 진행하였으며, 선행연구를 통해 개발된 모델을 근간으로 하여 개선 여부에 따른 온실 내부 환경을 예측하였다. 단면형상과 열 교환 장치의 개선 후 유속 변화에 따른 시뮬레이션 분석을 진행하였으며, 이 때 온도와 균일도는 각각 평균 0.65℃, 0.75%p 상승함을 확인하였다. 해석대상 온실과 같은 소규모 온실의 경우 방열관의 난방성능 개선보다 FCU에 의해 형성되는 공기 유동이 균일한 환경 조성에 더 큰 영향을 미치는 것으로 판단된다. 개선 전·후 온실에 환기시스템 적용 시 공기 유동 특성 분석을 위해 시뮬레이션 분석을 진행하였다. 공기 유동과 공기령은 유사한 분포를 보였으며, 개선 후 온실의 공기령이 개선 전 온실 대비 18초낮게 나타났다. 개선 전·후 온실 시뮬레이션 분석 결과 전체적으로 개선된 온실에서의 평균온도 및 온도 균일도 상승, 최대편차 감소 등 내부 환경의 균일성이 향상됨을 확인하였다. 선행연구로 개발된 모델은 형상 변경, 열 교환 장치 위치 변경 등에 따라 변화하는 온실 내부 환경을 예측할 수 있음을 확인하였으며, 온실 설계, 온실 내 난방시스템 설계 등의 분야에 적용 가능할 것으로 판단된다.