• Korean Journal of Food Science and Technology
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• v.45 no.1
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• pp.104-110
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• 2013

This study assessed hazards at the harvest stage of strawberry farms which may cause risk to humans. A total of 216 samples were collected from 6 strawberry farms (soil culture farms: A, B, C; nutriculture farms: D, E, F) located in Western Gyeongnam. The collected samples were subjected for sanitary indicator bacteria (aerobic plate count, coliforms and Escherichia coli), major foodborne pathogens (E. coli O157:H7, Listeria monocytogenes, Salmonella spp., Staphylococcus aureus and Bacillus cereus), and fungi. The levels of APC and coliform in the soil culture farms were 1.0-6.9 and 0.4-4.6 log CFU/g (leaf, mL, hand or 100 $cm^2$), respectively. The samples obtained from the nutriculture farms were contaminated with the levels of 0.8-4.9, and 0.2-2.6 log CFU/g (leaf, mL, hand or 100 $cm^2$) of APC and coliform. However, E. coli was not detected in any samples. In major foodborne pathogens, S. aureus was detected at the level of ${\leq}$3.3 log CFU/hand in workers' hand samples and B. cereus was detected at the levels of 0.4-4.1 log CFU/g (hand or 100 $cm^2$) in soil, plants and workers' hygiene. L. monocytogenes, E. coli O157:H7 and Salmonella spp. were not detected. Fungi were detected at the levels of 1.0-5.2 and 0.2-4.4 log CFU/g (leaf, mL, hand or 100 $cm^2$) in soil culture and nutriculture farms, respectively.

• Journal of Bio-Environment Control
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• v.31 no.1
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• pp.1-7
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• 2022

Strawberry is a stand-out cultivating fruit in Korea. The optimum production of strawberry is highly dependent on growing environment. Smart farm technology, and automatic monitoring and control system maintain a favorable environment for strawberry growth in greenhouses, as well as play an important role to improve production. Moreover, physiological parameters of strawberry plant and it is surrounding environment may allow to give an idea on production of strawberry. Therefore, this study intends to build a machine learning model to predict strawberry's yield, cultivated in greenhouse. The environmental parameter like as temperature, humidity and CO₂ and physiological parameters such as length of leaves, number of flowers and fruits and chlorophyll content of 'Seolhyang' (widely growing strawberry cultivar in Korea) were collected from three strawberry greenhouses located in Sacheon of Gyeongsangnam-do during the period of 2019-2020. A predictive model, Lasso regression was designed and validated through 5-fold cross-validation. The current study found that performance of the Lasso regression model is good to predict the number of flowers and fruits, when the MAPE value are 0.511 and 0.488, respectively during the model validation. Overall, the present study demonstrates that using AI based regression model may be convenient for farms and agricultural companies to predict yield of crops with fewer input attributes.

• Korean Journal of Agricultural Science
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• v.47 no.4
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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.

• Korean journal of applied entomology
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• v.23 no.2 s.59
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• pp.74-81
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• 1984

The experiments were conducted to study the distribution of wilt of strawberry caused by Fusarium in Korea, the characters of the causal fnngus and its control. The results obtained are summarized as follows. 1. Wilt of strawberry has been found in Gimhae and Samrangjin, Gyeongnam province a few years ago. This disease has been spreading year after year, and observed on farms in most of the strawberry-growing areas in Korea. 2. The fungus was isolated frequently from the crowns and petioles of diseased straw berry plants, and the fungus belonging to Fusariun oxysporum in terms of the morphological characteristics of macroconidia, microconidia, chlamydospore and conidiophore on V-8 Agar. 3. The macroconidia formation of the fungus varied remarkably with the Isolates and kinds of medium tested. However. all isolates abundantly produced macroconidia on V-8 Agar. 4. The cross-inoculation tests with several forma specialis of F. oxysporum to cucumber, tomato, watermelon, luffa, cabbage, melon and strawberry were carried out. The isolates from strawberry viz. Kodama's F. oxysporum f. sp. fragariae and S-1 of the authors were pathogenic to only strawberry. The fungus was also similar in morphology and symptoms to Kodama's and Winks' isolate of F. oxysporum f. sp. fragariae. Therefore, the fungus is identified as Fusarium oxysporum Schl. f. sp. fragariae Winks & Williams. 5. The most effective fungicides were Benomyl and Homai for inhibiting sporulation and mycelial growth of the fungus. 6 The cultivar Kurumae 35, Himiko, Senga gigana and Daehak I were resistant, whereas Hokowase, Instiate Z4, Juspa, Puget beauty and Marshall were susceptible to the fungus with artificial inoculation.

• Korean Journal of Soil Science and Fertilizer
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• v.47 no.6
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• pp.437-442
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• 2014

Foodborne illness due to the consumption of contaminated raw strawberries is a continuing food safety concern. This study investigated and evaluated contamination levels of bacteria on strawberries at farms stage to evaluate potential hazards associated with fresh strawberries. A total of 315 samples, 105 samples from 5 sampling sites (A to E) of 21 farms and 210 samples from 1 sampling site of 6 farms, was collected every month for four months and analyzed to enumerate aerobic bacterial counts, Coliforms/E. coli, Bacillus cereus and Staphylococcus aureus. In addition, the prevalence study of five pathogens (S. aureus, E. coli, E. coli O157:H7, Salmonella spp. and Listeria monocytogenes) was performed on each sample. Aerobic bacterial counts ranged from 0.48 to 6.36 Log CFU/g, with the highest bacterial cell counts recorded for D and E sites. Coliforms were detected in 71 samples (22.5%) with a minimum of 0.48 cfu/g and a maximum of more than 4 Log CFU/g. B. cereus was detected in 98 samples (31.1%) among total samples analyzed. S. aureus was detected in 2 samples with a minimum of 0.48 Log CFU/g and a maximum of 1.38 Log CFU/g. E. coli, E. coli O157:H7, Salmonella spp. and L. monocytogenes were not isolated from any of the samples. The microbial contamination levels of strawberries determined in this study may be used as the fundamental data for microbiological risk assessment.

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 2017.04a
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• pp.133-133
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• 2017

최근 딸기 생산이 확대 되면서, 고품질 다수확이 가능한 딸기 우량묘에 대한 수요가 빠르게 늘고 있으며, 딸기 육묘에 관한 관심이 더욱 늘고 있다. 그러나, 육묘시 작물에 따른 포트 혹은 트레이 선정에 대한 연구는 거의 이루어지지 않고 있다. 또한, 마이크로버블의 세정 능력은 이미 산업현장에서 널리 알려져 있으나 이를 이용한 시스템 개발은 농업분야에서는 미비한 실정이다. 따라서, 딸기 육묘에 적합한 마이크로버블 시스템을 설계하여 실증 개발함으로써 딸기 육묘 농가의 자립능력을 제고하고, 딸기 육묘 생산시스템의 확대 하여 농가소득 증대에 기여하고자 한다. 실험방법은 생육에 적합한 육묘용 트레이를 선정하고, 마이크로 버블 시스템을 적용한 육묘와 기존 방법에 의한 육묘의 비교 실험하였다. 포트의 용량에 따른 뿌린 근부의 성장변화를 관찰하고, SEM 촬영을 통하여 딸기 뿌리근부의 조직의 치밀성을 확인하였다. 기존 저면관수의 경우 딸기탄저병 확산을 억제하지만, 반입에 의한 감염주의 발병을 억제하는 것은 아니다. 따라서 포트 및 트레이를 청결하게 관리할 필요가 있으며 이를 해결하기 위해 미세기포(micro-bubble)를 사용한 클리닝이 상당한 효과가 있는 것으로 확인하였다. 또한 조직의 치밀도을 측정하기 위해 딸기 육묘 조직을 SEM 촬영하여 분석하였으며, 미세기포를 이용한 딸기 육묘 방법이 기존의 딸기 육묘 방법에 비하여 조직이 치밀한 것으로 확인 되었다. 또한 배지량 및 육묘 트레이가 딸기 육묘의 성장에 영향을 미치며 제1액아가 １개밖에 발생하지 않는 포기가 많아지고 '눈 없는 포기'의 발생 현상들이 발생하고 있어 적정 육묘 트레이의 선택 및 배지량 조절하는 비교 실험을 통하여 해결하였다. 본 연구의 결과 개선된 육묘트레이를 사용함으로써 제1액아의 형성이 촉진되어 정과방 후의 제1액과 방의 수확량이 증대한다는 것에 의해서 １월 혹은 ２월부터의 수량이 증대되어 소득향상이 기대되며, 마이크로버블을 저면관수에 적용함으로써 트레이의 청결을 유지하여 병해를 예방하고 딸기모종의 조직을 치밀하게 함으로써 딸기의 우량육묘를 얻는데 기여 할 것으로 기대된다.

• 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.

• Korean Journal of Food Science and Technology
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• v.37 no.2
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• pp.321-327
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• 2005

Staphylococcus aureus is spread worldwide and can result in food poisoning outbreaks. Among samples collected from soil, water, protected houses, packing houses, employees, strawberries, and leaves, and analyzed for S. aureus contamination, 16% samples 'showed S. aureus contamination, particularly on employees' hands, scissors, and strawberries. Examination of enterotoxins A, B, and C genes of S. aureus by PCR revealed sea and seb in 92 and 38% of total strains, respectively, whereas sec was not detected. In conclusion, implementation of Good Agricultural Practice is necessary for preventing food-borne diseases of staphylococcal origin, thereby ensuring the safety of farm-to-table products.

• Korean journal of applied entomology
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• v.58 no.2
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• pp.143-149
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• 2019

This study was conducted to examine the attractiveness of yellow sticky trap (YST) for insect pests by the angle of inclination of the trap surface. In strawberry farms with high bed system, YSTs were installed to attract insect pests in vertical direction with one surface, horizontal direction with upper and under surface, and angle of $45^{\circ}$ with upper and lower sticky surface. Thrips (Frankliniella occidentalis in dominance) and Sciaridae (Bradysia agrestis in dominance) species were more attracted on upper surface of $45^{\circ}$ angle trap, vertical surface and upper surface of horizontal trap than on lower surface of $45^{\circ}$ angle trap or horizontal trap. Cicadellidae (Empoasca vitis in dominance) species were caught more on vertical surface and upper surface of $45^{\circ}$ angle trap than on other traps. There were no specific trend in capture of aphid (Aphis gossypii in dominance) and white fly (Trialeurodes packardi in dominance) species among traps, probably because of a low density of the pest species.

• Horticultural Science & Technology
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• v.17 no.6
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• pp.737-741
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• 1999

We surveyed the physiological disorders of fruit vegetables grown in the greenhouse in Kyungbuk province in 1998. Greenhouses used for cultivation were mostly single or multi-span iron pipe houses covered with polyethylene film. Single span greenhouses were used for strawberry, oriental melon and watermelon. Fifty six percent of the surveyed farms was a mono-cropping system for oriental melon and tomato. There were greenhouses used for successive cultivation for 10 years or more for strawberry and oriental melon in Koryeong and Seongju. Varieties of fruit vegetables cultivated were diverse, especially in cucumber and watermelon. In strawberry, malformed fruits were observed most frequently in March and the small fruits at late harvest period. Leaf chlorosis, stunt plants and runner outbreak were also found during the growing season. In tomato, occurrence of malformed fruits was severe from March to May, and occurrence of cracked fruits and blossom- end rot was also severe in October and November. The self topping and abnormal stem in tomato were problem in hydroponic cultures in August and November, respectively. Malformed cucumber fruits, such as curved, club shaped, irregular shaped and narrow necked, occurred at late season. Umbrella-shaped leaf in cucumber in summer were caused by calcium deficiency. Most serious disorders were fermented and malformed fruits occurring from March to May in oriental melon, and cracked fruits occurring from April to May in watermelon. At late growing stage of melons the leaf chlorosis occurred with complex symptoms of leaf disease. Growers had little knowledge on physiological disorders, and also on diagnose and measures to cure the disorders. Most growers pointed out that poor soil environment and temperature management in the greenhouse as the main causes of physiological disorders.