• Korean Journal of Agricultural Science
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• v.36 no.2
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• pp.123-127
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• 2009

This study was carried out to gain the informations about seedling transplanting cultivation of Daehakchal Gold 1 which was developed at the Corn Breed. and Genetics Lab., Coll. of Life and Sci., Chungnam Nat'l Univ. in 2009. This hybrid and Check were sowed over four times at intervals of 10 days from 15th April(1st) to 30th May(last) and transplanted at CNU Corn Breed. Farm the 20th seedling cultivated after sowing, respectively. Results obtained from this experiment were as follows; stem height of this hybrid were variable regardless of sowing and transplanting times, while ear height was gradually increased according to delay of sowing times. Ear size and sharp of fresh corn as one of important traits was good at 2nd harvest times, while tip filling of ear harvested at 1st time was not good and also it's size decreased according to delay of transplanting stage. Stability of this hybrid expressed as ratio of stem height to ear height was very good as 50% below. Accordingly, the proper sowing and transplanting times of Daehackchal Gold 1 considered the late in April to early in May as harvesting proper period.

• Research in Plant Disease
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• v.15 no.3
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• pp.175-182
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• 2009

We investigated the effect of the infection times and infection degrees at transplanting time of Zucchini yellow mosaic virus (ZYMV) on the growth and yield of cucumber plants at the semi-forcing and the retarding culture in 2007. When cucumber was inoculated with ZYMV at transplanting time, 15, 30, 45, 60, and 75 days after transplanting, vine length, internode length, number of leaf of the plants and marketable yield largely decreased as the cucumber infected earlier. The regression models were obtained between the disease incidence levels at 20 days after transplanting as the inoculation degrees and the marketable yield of cucumber: y = $9333.1e^{-0.0317x}$ ($R^2$ = 0.8946) at the semi-forcing culture and y = $14695e^{-0.0303x}$ ($R^2$ = 0.8735) at the retarding culture. And the cucumber yield loss regression models between the symptoms incidence days from the final harvesting time and the rates of yield decrease were expressed as y=1.0851x - 6.7067 ($R^2$ = 0.9567) at the semi-forcing culture andy=1.0439x + 2.1321 ($R^2$ = 0.9674) at the retarding culture.

• Korean Journal of Weed Science
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• v.18 no.2
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• pp.116-121
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• 1998

Field experiment were carried out to elucidate the changes of weed occurrence according to the sowing time and to establish the efficient weed control system in dry seeded rice cultivation. E crus-galli and D. sanguinalis are tow major weeds at the earlier sowings, but C. difformis was dominating at the later sowing. In the case of E. crus-galli, there was a tendency of gaining its dominance values as the rice growth stage advances. The later the sowing time was, the more weeds occurred at the early rice growth stages: However, when measured at heading, total dry weight was greater at the earlier sowings. Yield loss due to weeds were also greater at the earlier sowings. Community diversity of weeds was greater at the later sowings, while specific weed was gradually dominating as rice growth stage advances, regardless of sowing time. When herbicides were applied before 15 DAS, weeds were effectively controlled only upto 35 DAS. So systemic herbicide application, one on 0 to 10 DAS and the other on just after flooding, appeared to be recommendable in direct seeded rice cultivation.

• Smart Media Journal
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• v.8 no.1
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• pp.74-81
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• 2019

Recently, machine learning technology has had a significant impact on society, particularly in the medical, manufacturing, marketing, finance, broadcasting, and agricultural aspects of human lives. In this paper, we study how to apply machine learning techniques to foods, which have the greatest influence on the human survival. In the field of Smart Farm, which integrates the Internet of Things (IoT) technology into agriculture, we focus on optimizing the crop growth environment by monitoring the growth environment in real time. KT Smart Farm Solution 2.0 has adopted machine learning to optimize temperature and humidity in the greenhouse. Most existing smart farm businesses mainly focus on controlling the growth environment and improving productivity. On the other hand, in this study, we are studying how to apply machine learning with respect to harvest time so that we will be able to harvest fruits of the highest quality and ship them at an excellent cost. In order to apply machine learning techniques to the field of smart farms, it is important to acquire abundant voluminous data. Therefore, to apply accurate machine learning technology, it is necessary to continuously collect large data. Therefore, the color, value, internal temperature, and moisture of greenhouse-grown fruits are collected and secured in real time using color, weight, and temperature/humidity sensors. The proposed FPSML provides an architecture that can be used repeatedly for a similar fruit crop. It allows for a more accurate harvest time as massive data is accumulated continuously.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.66 no.4
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• pp.289-296
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• 2021

This study aimed to analyze the optimal transplanting date of the floury endosperm rice varieties Hangaru, Seolgeang, Singil, and Baromi2 allowing to reduce the viviparity rate. The viviparity rate rapidly increased with the mean temperature during the ripening stage. Therefore, to reduce the viviparity rate, we calculated the optimum heading date based on the safe heading date limit in each area so that the ripening stage occurred at lower temperatures. hen, the effects of changes in heading date were monitored by recording the transplanting date and the temperature during the growth period. The transplanting date was highly correlated with the number of heading days in the field. Therefore, the optimum transplanting date was calculated according to the transplanting date in each area. When the accumulated temperature was 700℃, if floury rice was transplanted at the optimum transplanting date, the mean temperature was approximately 20℃. When the accumulated temperature was 900℃, the mean temperature was approximately 18℃. Under these conditions, the viviparity rates of Hangaru, Seolgeang, and Singil rice were lower than 10%. However, Baromi2 showed a high viviparity rate. These results suggest that the viviparity rate of Hangaru, Seolgeang, and Singil rice can be reduced by transplanting at the optimum transplanting date. However, further research is required for pinpointing the optimum transplanting date of Baromi2 rice.

• Journal of Applied Biological Chemistry
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• v.65 no.3
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• pp.129-142
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• 2022

Ginseng sprouts, which can be eaten from leaves to roots, has the advantage of not having to use pesticides without being affected by the season by using smart farms. The optimal cultivation timing of sprout ginseng was checked and the nutritional content and antioxidant activity were compared and analyzed. The values of total fatty acids and total minerals were no significant changes during the growth periods. The contents of total amino acids were slightly decreased to 45 days and after increased to 65 days. When the growth period was 65 days, arginine had the highest content of 3309.11 mg/100 g. The total phenolic contents were high at 3.73 GAE mg/g on the 45 days, and the total flavonoid contents were also the highest at 9.04 RE mg/g on the 45 days. The contents of total ginsenoside was not noticeable for the growth periods (29.83 on 25 days→32.77 on 45 days→26.02 mg/g on 65 days). The ginsenoside Rg2 (0.62 mg/g), Re (8.69 mg/g), Rb1 (4.75 mg/g) and Rd (3.47 mg/g) had highest contents on 45 days during growth. The values of phenolic acids and flavonols were gradually increased to 45 days (338.6 and 1277.14 ㎍/g) and then decreased to 65 days. The major compounds of phenolic acids and flavonols were confirmed to benzoic acid (99.03-142.33 ㎍/g) and epigallocatechin (416.03-554.64 ㎍/g), respectively. The values of 2,2-diphenyl-1-picrylhydrazyl (44.27%), 2,4,6-azino-bis (3-ethylbenzothiazoline-6-sulphnoic acid) diammonium salt (75.16%), and hydroxyl (63.29%) radical scavenging activities and ferric reducing/antioxidant power (1.573) showed the highest activity on the 45 days as well as results of total phenolic and total flavonoid contents.

• FLOWER RESEARCH JOURNAL
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• v.19 no.2
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• pp.96-102
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• 2011

The objective of study was carried out to find a proper entrance date for breaking dormancy depending on cutting and entrance date into greenhouse investigating plant growth and flowering characteristics of chrysanthemum 'Baekma'. Days to visible bud formation and days to flowering were increased as cutting date was delayed. The flowering rate of cutting on September 18 was 100% while cutting on October 30 did not induce flower bud formation. Flower characteristics were surveyed after 'Baekma' and 'Jinba' rooted cuttings were planted on September 10. Branching formation rate of 'Baekma' was gradually increased as entrance date was delayed while that of 'Jinba' was about 70-80% regardless of entrance date. Lethality of 'Baekma' moving into greenhouse on December 20 was 1.5% by cold injury. 'Jinba' started to die on November 10 by cold injury and lethality of 'Jinba' moving into greenhouse on December 20 was 21.7%. Thus, lethality of 'Jinba' was about 5-14 times higher than that of 'Baekma'. Days to visible bud formation and days to flowering were decreased as entrance date was delayed in chrysanthemum 'Baekma'. Days to visible bud formation of entrance date on November 10 and December 10 were 67.9 and 50.3, respectively. On the other hand, that of 'Jinba' was increased until entrance date on December 10 and decreased on December 20. Based on these results, it was suggested that dormancy of 'Baekma' was started at late September and completed at late October.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.66 no.1
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• pp.80-86
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• 2021

The purpose of this study was to determine the optimal sowing date for the spring sowing cultivation of rapeseed (Brassica napus L.). To determine suitable rapeseed sowing dates for spring sowing cultivation, changes in growth, flowering characteristics, and seed production were investigated in Muan, South Korea between 2019 and 2020. 'Jungmo7001' is the suitable variety for spring sowing because of its early flowering characteristics, high seed yield, and the fact that it occupies the highest cultivation area in South Korea. When the yield of 'Jungmo7001' was investigated in 2019 and 2020, the highest yields recorded were 243 kg/10a in February 28, 2019, and 294 kg/10a in February 18, 2020. As a result, the optimal rapeseed seeding period is considered to be mid-to-late February in the southern region. There was no statistically significant difference in seed crude oil content. The content of oleic acid (C18:1) decreased, but that of linoleic acid (C18:2) and of linolenic acid (C18:3) increased significantly depending on the sowing date.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2022.09a
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• pp.82-82
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• 2022

천마(天麻, Gastrodia elata Blume)는 난초과(蘭草科, Orchidaceae)에 속하는 식물로 잎과 뿌리가 없어 탄소동화능력이 없으며, 뽕나무버섯균과 공생하는 기생식물이다. 주요 함유된 성분은 gastrodin, 4-hydroxylbenzyl alcohol, vanillin, vanillyl alcohol, ergothioneine 등이 있고, 주로 진정(鎭靜), 진경(鎭痙), 통락(通絡)의 효능이 있으며, 두통, 반신불수, 언어장애, 현훈(眩暈), 고혈압 등에 사용되고 있다. 천마는 노지 재배에 따른 안정생산 문제가 지속적으로 발생하고 있다. 혹한, 폭우 등 기상환경에 따른 연차간 수량성 차가 673~1,175kg/10a로 크고, 정식 후 원목·종균·자마의 공생관계 형성이 늦어져 자마 생존율이 70% 이하로 낮으며, 18개월 장기 재배 시 생육 환경이 불량해져 썩음병이 많이 발생하고 있다. 본 연구는 비가림시설, 종균 선(先) 접종 배양목 및 20g 이상의 자마를 사용하여 재배기간을 18개월에서 12개월로 6개월을 단축하고자 수행하였다. 본 실험은 종균 선접종 배양목 생산을 위해 ^①원목의 종균 접종 시기는 4월 하순, 6월 상순, 7월 중순으로 40일 간격으로 처리하였고, 이렇게 생산된 배양목을 활용하여 정식은 이듬해 4월 상순, 수확은 그 이듬해 3월 하순으로 설정하였다. 또한, 종균 선접종 배양목을 활용한 ^②천마의 정식 시기는 3월 상순, 4월 상순, 5월 상순으로 30일 간격으로 처리하였고, 수확 시기는 이듬해 2월 하순, 3월 하순, 4월 하순으로 설정하여 천마의 생육상황 및 생산성을 조사하였다. ^①원목의 종균 접종시기를 검정한 결과, 자마 생존율은 4월 하순과 6월 상순 처리가 무처리에 비해 15%가 높았고, 천마 수량은 무처리 대비 4월 하순과 6월 상순 처리구에서 각각 2.07배, 1.64배 높았다. ^②천마의 정식 시기를 검정한 결과, 천마의 유효적산온도는 2,400℃로 3월 상순 처리구는 2,446℃로 충족하였고, 4월 중순 처리구는 2,375℃로 거의 충족하였으나, 5월 상순 처리구는 2,178℃로 222℃가 부족하였다. 자마 생존율은 3월 상순 처리 시 95%로 가장 높았고, 정식 시기가 늦어질수록 자마 생존율이 낮아지는 경향을 보였으며, 수량성은 5월 상순 처리 대비 3월 상순이 3.56배, 4월 상순이 3.43배 높았다. 따라서, 자마 생존율, 유효적산온도, 천마 수량성 등의 결과에 따라 원목의 적정 종균 접종 시기는 4월 하순과 6월 상순 사이고, 천마의 적정 정식 시기는 3월 상순과 4월 상순 사이며, 비가림시설, 종균 선접종 배양목 및 우량자마를 활용하면 재배기간을 노지 대비 6개월 이상 단축할 수 있을 것으로 판단되었다.

• Korean Journal of Soil Science and Fertilizer
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• v.44 no.5
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• pp.878-886
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• 2011

The soybean is one of the oldest cultivated crops in the world. Microwave remote sensing is an important tool because it can penetrate into cloud independent of weather and it can acquire day or night time data. Especially a ground-based polarimetric scatterometer has advantages of monitoring crop conditions continuously with full polarization and different frequencies. In this study, soybean growth parameters and soil moisture were estimated using polarimetric discrimination ratio (PDR) by radar scatterometer. A ground-based polarimetric scatterometer operating at multiple frequencies was used to continuously monitor the soybean growth condition and soil moisture change. It was set up to obtain data automatically every 10 minutes. The temporal trend of the PDR for all bands agreed with the soybean growth data such as fresh weight, Leaf Area Index, Vegetation Water Content, plant height; i.e., increased until about DOY 271 and decreased afterward. Soil moisture lowly related with PDR in all bands during whole growth stage. In contrast, PDR is relative correlated with soil moisture during below LAI 2. We also analyzed the relationship between the PDR of each band and growth data. It was found that L-band PDR is the most correlated with fresh weight (r=0.96), LAI (r=0.91), vegetation water content (r=0.94) and soil moisture (r=0.86). In addition, the relationship between C-, X-band PDR and growth data were moderately correlated ($r{\geq}0.83$) with the exception of the soil moisture. Based on the analysis of the relation between the PDR at L, C, X-band and soybean growth parameters, we predicted the growth parameters and soil moisture using L-band PDR. Overall good agreement has been observed between retrieved growth data and observed growth data. Results from this study show that PDR appear effective to estimate soybean growth parameters and soil moisture.