• 농업생명과학연구
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• 제46권4호
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• pp.141-153
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• 2012

본 연구에서는 안전한 토마토를 생산하기 위한 농산물우수관리제도(Good Agriculture Practices; GAP) 모델 확립의 기초 자료를 제공하고자 경남에 소재한 토마토 재배 농가 중 토경 재배 3 농가와 양액 재배 3 농가를 대상으로 수확단계에서의 생물학적(위생지표세균, 병원성 미생물, 곰팡이), 화학적(중금속, 농약) 및 물리적 위해요소를 조사하였다. 먼저 생물학적 위해요소 분석결과, 일반세균과 대장균군은 토경재배 농장의 토양에서 최대 7.5 및 5.0 log CFU/g으로 양액재배 농장의 양액보다 0.1~2.8 log CFU/g 높은 수준으로 검출되었다. 그 외 다른 시료에서의 일반세균 및 대장균군의 경우 토경재배 농장에서는 1.7~6.5 및 0.3~2.9 log CFU/g, leaf, mL, hand or $100cm^2$로 검출되었고 양액재배 농장에서는 각각 1.1~5.7 및 0.1~4.0 log CFU/g, leaf, mL, hand or $100cm^2$로 검출되었다. 대장균은 모든 시료에서 검출되지 않았으며, 곰팡이의 경우 전체적으로 0.2~5.0 log CFU/g, leaf, mL, hand or $100cm^2$ 수준으로 검출되었다. 병원성 미생물은 Bacillus cereus와 Staphylococcus aureus만 양액을 제외한 대부분의 시료에서 검출되었으며, 공중낙하균은 토경재배 농장에서 0.4~1.6 log CFU/plate, 양액재배 농장에서 0.1~1.0 log CFU/plate 수준으로 검출되었다. 화학적 위해요소인 중금속(Cd, Pb, Cu, Cr, Hg, Zn, Ni 및 As)과 잔류농약은 모든 시료에서 국내 허용기준치 이하로 검출되었고, 물리적 위해요소는 다른 위해요소에 비해 발생가능성은 낮지만 유리조각, 캔 등으로 확인되었다.

• 한국유기농업학회지
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• 제31권4호
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• pp.381-394
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• 2023

This study was conducted to monitor the antibiotics resistance of human-harmful bacteria isolated in the agricultural environment for hot peppers (Capsicum annuum) and tomato (Lycopersicon esculentum). As a result, we isolated 120 bacterial species (34 on fruits, 48 in soil, 21 in water, and 17 in manure), identified them with the 16S rRNA sequence, analyzed minimum inhibitory concentration (MIC) for 26 antibiotics using Sensititre ARIS Hi-Q system and then evaluated whether each bacterial genus acquired resistance for the tested antibiotics or not, according to the CLSI criteria. From difference in MIC between eco-friendly (EFM) and practical (PFM) cultivation farms, Klebsiella spp. isolated from EFM was resistant to ampicillin (AMP) and nalidixic acid (NAL), and that isolated from PFM was resistant to streptomycin (STR) and tetracycline (TET). Enterobacter spp. isolated from EFM was resistant to AMP and azithromycin (AZI), and that isolated from PFM was resistant to AMP, AZI, and STR. Meanwhile, Pseudomonas spp. isolated from EFM and PFM were all resistant to AMP, AZI, cefotaxime (FOT), cefoxitin (FOX), ceftriaxone (AXO), CHL, NAL, and STR. Staphylococcus spp. isolated from EFM and PFM were resistant to gentamycin (GEN), STR, and kanamycin (KAN), and in particular, that from EFM showed resistance for erythromycin (ERY). In conclusion, our study suggested that EFM lead STR antibiotics resistance for human-harmful bacteria to decrease, because only the bacteria isolated from hot pepper and tomato crop with PFM have showed resistance against STR antibiotics, regardless of bacterial genus.

• 농업과학연구
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• 제32권2호
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• pp.151-167
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• 2005

In this study, certain factors influencing cherry tomato were estimated using system equations. In addition, the amount of influence to income from each factor was estimated from both direct and indirect effects. Based on OLS(Ordinary Least Squares) estimation, path analysis and factor analysis were employed to overcome multicollinearity problems. Data used in this study is interviewed cross sectional data of 65 cherry tomato producing farm in Chungnam-do area. Average age of the producers is 46.5. Average year of the production is 8 years. Average farm size, productivity, and income are 1,123 pyong, 7,439kg/10a, 8,112,000won/10a, respectively. The business performance of the sample farms were above average, in terms of the diagnosis by "Standard Business Diagnosis for Cherry tomato". To identify the factors influencing productivity, 15, 19, and 25 independent variables were selected for the dependent variables of yield, price(quality), and business cost, respectively. Finally, yield, quality, and business cost variables were set as independent variables to explain income as dependent variable. As a result of main factor analysis, 10, 12, 15, and 16 factors were identified as main factors for yield, quality, business cost, and income, respectively.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2017년도 추계학술대회
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• pp.405-407
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• 2017

The environmental change is affecting the farm products like tomato, and pepper, etc. This affects to lead smart farming yield. What is more, this inconstant conditions cause the farms to be infected by variety diseases. Therefore ICT technology is needed to detect and prevent the crops from being effected by diseases. This article suggests the procedure to help producer for identifying farms disease based on the detected image. This detects the kind of diseases with comparing the trained image data before and after disease emergence. First step monitors an image of farms and resize it. Its features are extracted on parameters such as color, and morphology, etc. The next steps are used for classification to classify the image as infected or non-infected. on the bassis of detection algorithm.

• 한국산학기술학회논문지
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• 제16권12호
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• pp.8673-8678
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• 2015

본 논문은 토마토 생육 진단 시스템 개발에 관한 것이다. 토마토 생육 진단을 위하여 우선 생육에 영향을 미치는 주요 지표를 정의하였고, 이 지표를 이용하여 토마토 생육 상태에 대한 진단과 이에 따른 조치 정보를 제공한다. 생육에 대한 지표는 지속적인 관찰을 통하여 생육 상태를 확인하는 측정 지표(Measure Index; MI)와 현재 토마토가 영영생장 단계인지 또는 생식생장 단계인지를 판단하는 단계 지표(Period Index; PI)로 구성되었다. 본 시스템의 관찰일지는 MI와 PI에 대한 기록 정보를 입력하는 기능을 제공하고 있다. MI인 경우, 진단은 관찰일지에 기록된 데이터와 미리 정의된 해당 지표에 대한 정상 기준(표준) 값을 비교한 결과이다. PI인 경우 미리 정의된 영양 생장 지표와 생식 생장 지표에 체크를 하여 어느 부분에 치우쳤는지 판단하도록 만들어졌다. 진단 결과 정의된 조치를 수행하는 기능을 서비스한다. 본 시스템은 타 작물로 서비스 확장을 고려하여 구현되었다. 본 시스템을 이용하면 농가에게 정확한 생육 진단과 그에 따른 조치 정보를 제공할 수 있기 때문에 농가의 생산성 향상에 기여할 것을 기대하고 있다.

• 농촌계획
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• 제29권4호
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• pp.127-135
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• 2023

This study examined the impact of changes in agricultural production methods on society, the economy, and the environment. While traditional open-field farming relied heavily on natural conditions, modern approaches, including greenhouse and smart farming, have emerged to mitigate the effects of climate and seasonal variations. Facility horticulture has been on the rise since the 1990s, and recently, there has been a growing interest in smart farms due to reasons such as climate change adaptation and food security. We compared open-field spinach and greenhouse spinach using agricultural income survey data, and we also compared greenhouse tomato cultivation with smart farming tomato cultivation, utilizing data from the smart farm survey reports. The economic results showed that greenhouse spinach increased yield by 25.8% but experienced a 29% decrease in income due to equipment depreciation. In the case of tomato production in smart farms, both yield and income increased by 36-39% and 34-46%, respectively. In terms of environmental impact, we also compared fertilizer and energy usage. It was found that greenhouse spinach used 29% less fertilizer but 14% more energy compared to open-field spinach. Smart farming for tomatoes saw a negligible decrease in electricity and fuel costs. Regarding the social impact, greenhouse spinach reduced labor hours by 31%, and the introduction of smart farming for tomatoes led to an average 11% reduction in labor hours. This reduction is expected to have a positive effect on sustainable farming. In conclusion, the transition from open-field to greenhouse cultivation and from greenhouse cultivation to smart farming appears to yield positive effects on the economy, environment, and society. Particularly, the reduction in labor hours is beneficial and could potentially contribute to an increase in rural populations.

• 농업과학연구
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• 제47권4호
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• pp.743-752
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• 2020

The purpose of this study was to estimate the economic evaluation of a smart farm investment for tomatoes and strawberries. In addition, the potential adoption rate of the smart farm was derived for different scenarios. This study analyzed the economic evaluation with the net present value (NPV) method and estimated the adoption potential of the smart farm with the trade-off analysis, minimum data (TOA-MD) model. The results were as follows: The analysis of the net present value shows that the smart farm investment for the two crops are economically feasible, and the minimum prices for the tomatoes and strawberries should be 1,179 and 3,797 won/kg to secure a sufficient economic feasibility for the smart farm investment. Next, the analysis of the potential adoption rates for smart farms through the TOA-MD model showed that when the support ratio for the adoption of a smart farm system was 50% and the price increase rates were, respectively, - 5, 2.5, 0, 2.5, and 5%, the conversion rates for tomato farms to switch to smart farms were 0.97, 1.78, 3.05, 4.91, and 7.47%, while the ratios of the strawberry farms to switch to smart farms were 0.12, 0.29, 0.65, 1.33, and 2.53%, respectively. This study has some known limitations, but it provides useful information on decision making about smart farm adoption and can contribute to government policies on smart farms.

• 한국식품위생안전성학회지
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• 제27권2호
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• pp.152-160
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• 2012

본 연구에서는 경남에 소재한 토마토 토경재배농장 3곳 (A, B, C)과 양액재배농장 3곳 (D, E, F)을 대상으로 토마토 재배단계의 재배환경과 개인위생에 대하여 생물학적 및 화학적 (중금속) 위해요소를 분석하였다. 생물학적 위해요소를 분석한 결과 재배환경에서 위생지표세균의 경우 토경재배농장의 토양에서 일반세균과 대장균군이 최대7.2 및 6.1 log CFU/g 검출되었고, 관개용수에서는 1.7 log CFU/mL 이하로 검출되었으며, E. coli의 경우 B농장의 토양에서만 1건 검출되었다. 양액재배농장의 양액과 관개용수에서는 일반세균만 최대 1.4 및 1.8 log CFU/mL수준으로 검출되었다. 개인위생의 경우 일반세균과 대장균군이 토경재배농장에서는 0.4-4.6 log CFU/hand, 100 $cm^2$ 수준으로, 양액재배농장에서는 0.4-5.4 log CFU/hand, 100 $cm^2$ 수준으로 검출되었다. 병원성 미생물은 B. cereus만 토경재배농장의 토양에서 최대 4.4 log CFU/g, 관개용수에서 0.5 log CFU/mL, 개인위생에서 1.0-2.9 log CFU/hand, 100 $cm^2$ 검출되었고, 양액재배농장의 개인위생에서 0.5-2.8 log CFU/hand, 100 $cm^2$ 수준으로 검출되었다. 화학적 위해요소인 중금속(Cd, Cu, As, Hg, Pb, Cr, Zn 및 Ni)은 분석 결과 모두 허용기준치 이하 또는 불검출로 나타났다. 따라서 토마토의 재배단계에서 미생물의 오염으로 인한 위해를 확인할 수 있었으며, 안전성을 확보하기 위해서는 최종산물로까지 발생할 수 있는 모든 위해요소를 파악하고 이를 효율적으로 차단시키기 위한 체계적인 관리방안이 모색되어야 할 것으로 판단된다.

• The Plant Pathology Journal
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• 제17권5호
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• pp.311-314
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• 2001

Phytophthora root rot of lettuce, which has not been reported in Korea before, occurred severely in liquid hydroponic culture. The disease occurred in all seasons and was most severe in summer from June to August, showing over 90% infection rate in some farms. A total of 51 isolates collected from various farms were all identified as Phytophthora drechsleri. The fungus showed strong pathogenicity to lettuce and Chinese cabbage, moderate pathogenicity to cucurbits and tomato, and weak pathogenicity to pepper. However, the fungus was not pathogenic to other leafy vegetables namely: chicory, kale, endive, garland chrysanthemum, spinach beet, and perilla. Among 10 species of Phytophtora inoculated to lettuce, only P. drechsleri and P. cryptogea were found pathogenic.

• The Plant Pathology Journal
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• 제39권6호
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• pp.614-624
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• 2023

Botrytis cinerea is a major fungal plant pathogen that causes gray mold disease in strawberries, leading to a decrease in strawberry yield. While benzimidazole is widely used as a fungicide for controlling this disease, the increasing prevalence of resistant populations to this fungicide undermines its effectiveness. To investigate benzimidazole resistant B. cinerea in South Korea, 78 strains were isolated from strawberries grown in 78 different farms in 2022, and their EC₅₀ values for benzimidazole were examined. As a result, 64 strains exhibited resistance to benzimidazole, and experimental tests using detached strawberry leaves and the plants in a greenhouse confirmed the reduced efficacy of benzimidazole to control these strains. The benzimidazole resistant strains identified in this study possessed two types of mutations, E198A or E198V, in the TUB2 gene. To detect these mutations, TaqMan probes were designed, enabling rapid identification of benzimidazole resistant B. cinerea in strawberry and tomato farms. This study utilizes TaqMan real-time polymerase chain reaction analysis to swiftly identify benzimidazole resistant B. cinerea, thereby offering the possibility of effective disease management by identifying optimum locations and time of application.