• 한국지하수토양환경학회지:지하수토양환경
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• 제22권5호
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• pp.13-22
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• 2017

Accurate assessment of agricultural groundwater usage is an essential task to cope with drought that occurs irregularly in time and location. In this study, the agricultural groundwater usage was calculated in nationwide public wells (1,386 bedrock wells) during 5-year period (2010-2014) by using electric power consumption and well specification data. National average of agricultural groundwater usage per each well was estimated as $66.2m^3/day$, corresponding to 21.6% of total permitted volume of groundwater in each well. Chungcheong Nam-do had the highest usage with 38-55.6%. The value increased to 58.1% when the total permitted volume was based upon the supply standard against drought, and the value reached 100% in Chungcheong Nam-do. In Ganghwa distirct that suffered from severe drought in recent years, the average groundwater usage was 61.4%. In 2014, when the drought was the most severe with 45% precipitation of the average annual rainfall, the nationwide usage was turned out to be 25.6%, indicating about 4% higher than average agricultural groundwater usage 21.6%. Therefore, the quantitative assessment of groundwater usage in this study signifies that adequate use of groundwater is crucial to cope with agricultural drought.

• 한국환경과학회지
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• 제24권4호
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• pp.515-524
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• 2015

The estimation of groundwater usage in Jeju island is important to understand hydrologic cycle system and to plan management of water resource because large amounts of groundwater have been used for agricultural and domestic purpose. The model has been developed to estimate agricultural groundwater usage for garlic at uplands and citrus at orchards raising outdoors using the soil water balance model from FAO 56, respectively. The total amount of water supplied for the crop evapotranspiration and the multipurpose function such as sprout promotion can be simulated by the model. However, due to the discrepancy of water use in initial stage between calculated and observed, the model was calibrated and verified using actual groundwater usage monitoring data for 3.5 years (2011.6 to 2014.12) at three uplands for garlic and three orchards for citrus. Consequently, it would be concluded that the model simulated efficiently actual water usage in that root mean square (RMS) and normalized RMS of the validation stage were less than 8.99 mm and 2.43%, respectively, in two different conditions.

• 한국수자원학회논문집
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• 제54권5호
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• pp.311-320
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• 2021

농업용수는 우리나라의 용수사용량 중에 61%를 차지하고 있으며, 효율적인 수자원관리를 달성하기 위한 핵심적인 관리목표 중 하나이다. 본 연구에서는 댐과 저수지 등을 관리하는 실무자가 수문상황에 따른 하천에서의 농업용수 임계사용량을 간편하게 추정하기 위한 방법론을 제안하고자 하였다. 이를 위하여, 4대강 권역의 주요 27개 하천유역을 대상으로 하여 유역의 유출량과 하천수 사용실적을 수집하였다. 하천에서의 농업용수 사용과 예년대비 유출율이 유의미한 상관관계가 있음을 나타내었으며, 분위회귀를 이용하여 농업용수 최대사용을 대표하는 임계곡선으로 제시하고 27개 하천유역에 적용하였다. 최종적으로 예년대비 2개월 유출율에 따른 농업용수 최대사용량대비 사용률로 표현되는 두 가지 임계곡선과 식을 제시하였다. 또한, 유역특성을 비교하여 삼림면적 대비 농지면적의 비를 기준으로 임계곡선 유형을 결정할 수 있도록 하였으나, 추가적인 자료 수집과 분석이 필요할 것으로 판단된다. 본 연구에서 제시한 방법은 하천 농업용수 임계사용량을 간편하게 추정하고 활용할 수 있으므로 수자원관리 실무에서 유용하게 활용될 수 있을 것으로 기대한다.

• 농약과학회지
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• 제4권4호
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• pp.35-39
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• 2000

국내 농업환경 중 농약지표 설정을 위해 16개 지대 29지역 100농가를 대상으로 수도 재배용 농약 실제 사용량을 조사 분석하였다. 또한 농약별 실제 사용량에 따른 잔류 경향을 알아보고자, 조사농가에서 재배된 벼의 현미 및 볏짚 중 농약잔류량을 분석하였다. 수도재배시 용도별 농약 실제 사용량은 살충제 43%, 제초제 29%, 살균제 27%를 나타냈으며, 살충제 중 주요 사용농약은 carbofuran, BPMC, cartap 등이었다. 제초제는 혼합제인 molinate+pyrazosulfuran-ethyl과 butachlor, 살균제의 경우 IBP와 혼합제 isoprothiolan+tricyclazole이 우선적으로 사용되었다. 제형별 농약사용량은 입제농약 위주의 사용경향을 나타냈으며 GR>DP>WP>EC>FG>SP 순이었다. 수도재배 단위면적당(a.i./ha) 농약사용량은 7.13 kg이었으며, 전국 총 사용량을 추산한 결과 8,387 M/T로 추정되었다. 용도별 농약 실제 사용량과 출하량과의 일치도는 살충제 84.3%, 제초제 77.8%, 살균제 94.7%로 나타났고 총 실물량 일치도는 97%이었다. 농약 실제 사용량에 따른 농약잔류성은 살균, 살충제로서 사용 빈도가 높은 농약인 BPMC와 IBP가 $57.7{\sim}94.9%$의 높은 검출빈도를 나타냈으며, 이들 농약의 잔류수준은 허용기준 미만이었다.

• 농촌계획
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• 제24권4호
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• pp.121-134
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• 2018

By using the raw data of the 2015 Agriculture, Forestry and Fishery Consensus that surveyed the farmers engaged in agriculture, forestry and fishery in 2015, this study investigated the effects of the characteristics of the farms in Gangwon-do on the utilization of the digital devices, which was classified into computers usage only, smartphones usage only, both computers and smartphones usage, and no digital device usage. This study used the Multinomial Logit Model for the above purpose. Moreover, the IIA(Independence of Irrelevant Alternatives) method of the Multinomial Logit Model was analyzed to be suitable. Upon the result of the analysis, when all the other variables were constant in the average, the probability of choosing both computers and smartphones increased by 0.02% as the family member living together with the farm owner increased by 1 person. In addition, the farms with agricultural machineries have 0.03% increased probability of using smartphones to sell their agricultural products, when compared with the farms without agricultural machinery. Moreover, for the farms with high sales profit of the agricultural products, the probability of using computers and the probability of using smartphones increased by 0.04% and 0.01%, respectively, and the probability of using both computers and smartphones increased by 0.02%. On the other hand, for the farms affiliated with the agricultural organization, the probability of using both computers and smartphones increased by 0.17%, and the probability of using only smartphones and the probability of using only computers increased by 0.16% and 0.15%, respectively. In case of selling to the National Agricultural Cooperative Federation(NACF), the probability of using smartphones increased by 0.11% if all other variables were to be constant in the average. In particular, the farms participating in the agriculture-related industries have 1.09% increased probability of using computers, have 0.92% increased probability of using smartphones, and 0.85% increased probability of using both computers and smartphones. Therefore, the implications suggested based on the results of the analysis are as follows. First, the farms' choices of the digital devices are made independently. Hence, the future agricultural industry business platform establishment should necessarily consider the types of farms' choices of the digital devices in the future. Second, since the usage of digital devices has a generally positive influence on the farm household income, digital education to improve farmers' ability to use the digital devices should be urgently provided in order to improve the farm household income in the farms in Gangwon-do. Third, because the digital devices used to sell agricultural products differ depending on the age of the farm owner, it would be desirable to target the younger generation of the farm owners rather than establishing the agricultural industry business platform for the farms in the aged farm villages. Fourth, it would be advisable for the future agricultural business platform to consider the characteristics of agricultural products sales source.

• 농약과학회지
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• 제5권4호
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• pp.40-44
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• 2001

농약사용과 관련하여 환경영향 감소를 위한 농약사용 지표 개발에 활용하고자 사과, 배 등 6종 과수를 대상으로 재배면적별 22지역 70농가를 선정하여 국내 과수재배 환경 중 농약의 사용량을 조사 분석하였다. 과수재배시 용도별 농약 사용경향은 살균제>살충제>제초제 순이었으며 사과의 경우 전체 사용량 중 살균제가 72%로서 해충방제가 우선인 벼재배와는 달리 병해방제 위주의 농약사용을 나타냈다. 살균제 중주요 사용농약은 Mancozeb, Propineb, Thiophanate-methyl이었으며 살충제의 경우 Propagite, Omethoate가 우선적으로 사용되었다. 제형별 농약사용량은 수화제 농약 위주의 사용경향을 나타냈으며 WP>EC>SL>SC>SP>WG 순이었다. 과수별 단위면적당(a.i./ha) 농약사용량은 감귤 48.6 kg, 사과 27.1 kg, 배 18.6 kg, 감 17.5 kg, 복숭아 11.3 kg, 포도 9.2 kg으로서, 이를 미국의 농약사용량과 비교한 결과 사과는 한국의 사용량이 더 많은 살포용량 경향을 나타냈으나 감귤, 배, 복숭아의 경우 미국의 농약사용량이 더 많았다. 농약 사용량의 조사분석은 농약위해성 경감을 위한 단위면적당 농약 사용량을 감소시키는 것이 그 목적이므로, 향후 전반적인 농업환경을 반영시킨 전체 작물별 농약 사용량 조사와 함께 작물별 농약 사용량을 경감시킬 수 있는 요인분석이 요망된다.

• 스마트미디어저널
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• 제12권10호
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• pp.29-37
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• 2023

Human lifestyle is affected by the agricultural development in the last 12,000 years ago. The development of agriculture is one of the reasons that global population surged. To ensure sufficient food production for supporting human life, pesticides as a more effective and economical tools, are extensively used to enhance the yield quality and boost crop production. This study investigated the factors that affect crop production and whether the factors of pesticide usage are the most important factors in crop production using the dataset from Kaggle that provides information based on crops harvested by various farmers. Logistic regression is used to investigate the relationship between various factors and crop production. However, the logistic regression is unable to deal with predictors that are related to each other and identifying the greatest impact factor. Therefore, causal discovery is applied to address the above limitations. The result of causal discovery showed that crop condition is greatly impacted by the estimated insects count, where estimated insects count is affected by the factors of pesticide usage. This study enhances our understanding of the influence of pesticide usage on crop production and contributes to the progress of agricultural practices.

• 한국농림기상학회:학술대회논문집
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• 한국농림기상학회 2016년도 추계 학술발표논문집
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• pp.29-32
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• 2016

• 한국농공학회:학술대회논문집
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• 한국농공학회 2004년도 학술발표논문집
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• pp.37-37
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• 2004

• 한국환경농학회지
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• 제24권2호
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• pp.98-105
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• 2005

Groundwater sampled from 24 tube wells of three districts namely Sherpur, Gaibandha and Naogaon in Bangladesh was appraised for their water quality for irrigation and agro-based industrial usage. All waters under test were slightly alkaline to alkaline (pH = 7.2 to 8.4) in nature and were not problematic for crop production. As total dissolved solid (TDS), all groundwater samples were classified as fresh water (TDS<1,000 mg/L) in quality. Electrical conductivity (EC) and sodium adsorption ratio (SAR) values reflected that waters under test were under medium salinity (C2), high salinity (C3) and also low alkalinity (S1) hazard classes expressed as C2S1 and C3S1. As regards to EC and soluble sodium percentage (SSP), groundwater samples were graded as good and permissible in category based on soil properties and crop growth. All water samples were free from residual sodium carbonate (RSC) and belonged to suitable in category. Water samples were under soft moderately hard, hard and very hard classes. Manganese, bicarbonate and nitrate ions were considered as major pollutants in some water samples and might pose threat in soil ecosystem for long-term irrigation. For most of the agro-based industrial usage, Fe and Cl were considered as troublesome ions. On the basis of TDS and hardness, groundwater samples were not suitable for specific industry. Some water samples were found suitable for specific industry but none of these waters were suitable for all industries. The relationship between water quality parameters and major ions was established. The correlation between major ionic constituents like Ca, Mg, K, Na, $HCO_3$ and Cl differed significantly. Dominant synergistic relationships were observed between EC-TDS, SAR-SSP, EC-Hardness, TDS-Hardness and RSC-Hardness.