• 농업과학연구
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• 제49권3호
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• pp.655-666
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• 2022

We assessed the persistence of eight major cruciferous crops-leaf mustard, oilseed rape, cabbage, broccoli, cauliflower, Chinese cabbage, turnip, and radish-growing in the field. In the first part of our experiment, we tested the viability of seeds that had been buried at two different soil depths for up to 16 months. We then broadcast seeds over the soil surface and left them undisturbed to investigate the survivorship of the resultant plants over two years. Seed viability was significantly affected by plant taxa and burial depth, but not substantially affected by the duration of burial. Although seeds of leaf mustard had the greatest viability among all crops examined here, the viability rates were significantly lower at 2 cm depth than at 15 cm. Seeds of leaf mustard, oilseed rape, broccoli, turnip, and Chinese cabbage remained viable throughout the 16-month period. A study of plant demography revealed that only leaf mustard and oilseed rape succeeded in producing seeds and overwintering in the undisturbed field. However, neither of those species competed well with other plants long-term and their overall growth and survival rates declined during the evaluation period. In addition, insect herbivory severely decreased the growth of all of these crops. Our results suggest that populations of leaf mustard and oilseed rape do not tend to persist in the field for more than a few years without disturbance and external seed inputs.

• 한국작물학회:학술대회논문집
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• 한국작물학회 2017년도 9th Asian Crop Science Association conference
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• pp.307-307
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• 2017

There is a growing need to understand how local, farm household, and elementary units are responding to changes in agricultural conditions due to increased internal and external agrarian conditions and increased uncertainty in agricultural management due to increasing FTA and climate change. Therefore, we analyze dynamics of changes through more detailed and precise gathering of information related to agricultural products and DB, and by analyzing the satisfaction level of the first year panel survey by constructing a producer panel for utilization in agricultural research and policy. A total of 500 farmers in the producer panel who mainly grow rice, garlic, onion, strawberry, apple were collected through questionnaires. The actual analysis used data from a total of 393 farm households, including 82 farms of rice, 51 farms of apple, 100 farms of garlic, 88 farms of onion and 72 farmhouses of strawberry. The distribution by age was similar to the distribution of rural ages in Korea, with 2.8% under 30s, 17.6% in 40s, 32.4% in 50s, 37.5% in 60s and 9.7% in 70s. Panel happiness and rural life satisfaction were examined using the 7 - point Likert scale and the analysis method was one - way ANOVA. The results showed that the happiness of garlic and strawberry cultivator was significantly higher than that of rice and onion cultivator. However, the satisfaction of rural life did not show any difference among the cultivars. As a result of difference verification about Agricultural Outlook and Crop-specific Outlook after 5 years, there was no difference between the crops in terms of prospects for Korean agriculture after five years, but a survey of industrial prospects for crops after five years showed that the rice growers have a significantly negative outlook compared to garlic, onion and strawberry growers, and garlic and onion growers have a more positive outlook than rice and apple growers As a result of verifying whether there is a difference in ages between the agricultural prospects and the industrial prospects by crops after 5 years, there was no difference between the ages of prospects for Korean agriculture after 5 years, However, in the survey on industrial prospects by crops after 5 years, 40s were more positive than 60s.

• The Plant Pathology Journal
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• 제17권5호
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• pp.243-248
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• 2001

Two Tobamoviruses, Cucumber green mottle mosaic virus (CGMMV) and Zucchini green mottle mosaic virus (ZGMMV), occurred in Korea in 463 ha in 1998, 33.9 ha in 1999, and 44.2 ha in 2000. CGMMV was detected in watermelon, cucumber, oriental melon, and melon, whereas ZGMMV was mainly detected in zucchini squash. Thirty-six CGMMV isolates wee classified into three types by analysis of single strand cDNA conformational polymorphism (SSCP) of the coat protein gene. In a comparison of serological relationships among CGMMV, ZGMMV, and Kyuri green mottle mosaic virus (KGMMV), the three tobamoviruses specifically reacted with each homologous antibody in the double-antibody sandwich enzyme-linked immunosorbent assay and rapid imunofilter paper assay (RIPA), although ZGMMV and KGMMV were slightly biologcially similar. In a survey of the three tobamoviruses in cucurbitgrowing field in Korea by RIPA, CGMMV and ZGMMV were detected but KGMMV was not found in commercially growing cucurbit crops so far. Seed contamination ratio of CGMMV in bottle gourd seeds tested was 84%, while seed trasmission ratio from the virus-contaminated seeds was 2.0%. Soil transmission ratio was 0-3.5% in fields naturally infested with CGMMV or ZGMMV. Control measures of the virus diseases are roguing and sanitation. These suggest that it is important to rogue the first infected crops, which include the seed and soil, especially early in the season. This may be practicable to control the diseases because CGMMV and ZGMMV have a narrow host range restricted to cucurbitaceous crops.

• 한국토양비료학회지
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• 제45권4호
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• pp.614-621
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• 2012

Although there is a broad dispute over genetically modified foods on safety, the worldwide adoption of transgenic crops is rapidly increasing. The objectives of this study were to identify trends in the effects of transgenic on crop yields and examine the effect of agricultural variables including crop type, biotech trait, tillage system, and yield environment on corn and soybean yield. A meta-analysis from the 34 peer-reviewed scientific literatures was conducted to compare the crop yield between transgenic crops and conventional varieties. Results showed that the yield of transgenic corn and soybean was strongly dependent on growing conditions. Transgenic hybrids had higher yield potential in the low crop yield environments such as high weeds and/or insect infestation, low soil water, and cool temperature conditions, while transgenic crops did not have yield advantages in high yield environments. The results from this study suggest that producers should consider the potential yield environmental conditions and possible yield reductions when producers choose crop hybrids in their fields.

• International Journal of Internet, Broadcasting and Communication
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• 제15권2호
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• pp.144-156
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• 2023

Smart agriculture is a rapidly growing field that seeks to optimize crop yields and reduce risk through the use of advanced technology. A key challenge in this field is the need to create a comprehensive smart farm system that can effectively monitor and control the growth environment of crops, particularly when cultivating new varieties. This is where fuzzy theory comes in, enabling the collection and analysis of external environmental factors to generate a rule-based system that considers the specific needs of each crop variety. By doing so, the system can easily set the optimal growth environment, reducing trial and error and the user's risk burden. This is in contrast to existing systems where parameters need to be changed for each breed and various factors considered. Additionally, the type of house used affects the environmental control factors for crops, making it necessary to adapt the system accordingly. While developing such a framework requires a significant investment of labour and time, the benefits are numerous and can lead to increased productivity and profitability in the field of smart agriculture. We developed an AI platform for optimal control of facility houses by integrating data from mushroom crops and environmental factors, and analysing the correlation between optimal control conditions and yield. Our experiments demonstrated significant performance improvement compared to the existing system.

• 스마트미디어저널
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• 제11권2호
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• pp.53-62
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• 2022

산업화 이후 가속화된 지구 온난화 현상으로 인해 기존환경 변화 및 이상기후 발생 빈도가 증가하고 있다. 농업은 기후변화에 매우 민감한 분야의 산업으로 지구 온난화는 작물의 생산량을 감소시키고 재배 지역이 변하는 등의 문제를 발생시킨다. 또한, 환경 변화는 작물의 생육 시기를 불규칙하게 만들어 숙련된 농사꾼들도 작물의 생육단계를 쉽게 추정할 수 없도록 만들어 여러 문제를 발생시킨다. 이에 본 논문에서는 작물의 생육단계를 추정하기 위한 CNN(Convolution Neural Network) 모델을 제안한다. 제안한 모델은 ResNet의 Pooling Layer를 수정한 모델로 ResNet, DenseNet 모델의 생육단계 추정보다 높은 성능 결과를 확인하였다.

• 디지털산업정보학회논문지
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• 제13권4호
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• pp.25-31
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• 2017

In this paper, we propose a study on DB-based automatic crop cultivation that obtains crop cultivation data using IOT and automatically controls the cultivation environment using it. A system for DB-based automatic crop cultivation that automatically controls the cultivation environment is composed of a management server and a local controller. The management server was implemented using the MySQL DB in the Linux server system, and the local controller was designed and manufactured using the WiFi module and ARM Coretax-3 series MCU and confirmed its operation in the laboratory. The purpose of this study is to provide the optimal cultivation data and to grasp the cultivation status in real time when the knowledge of professional cultivation is needed like the farmers of ear farm villages. Research should continue to enable the cultivation of crops to reflect the requirements of each user.

• 한국초지조사료학회지
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• 제19권2호
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• pp.177-182
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• 1999

This research was carried out in a farm situated in Malkara District of Tekirdag Province (Turkey) in 1994-95, and the effect of genotype and environmental conditions on some characters and variations of these characters in terms of silage yield in 8 dent corn varieties were determined. The results of this research showed that leaf weight, stem diameter, and silage yield had a low broad sense heritability while the number of leaves per plant had a high heritability. Yield performance of varieties varied to a significant degree because of variations in rainfall rate during the growing periods. Leaf number, silage yield, leaf weight, stem diameter, plant height and ear weight varied between 13.33-17.33 number, 8,443-11,114 ton/hec, 152.8-244.2 g, 2,615-2,965 cm, 216.5-252.5 g and 176.2-285.8 g, respectively.

• 아시안잔디학회지
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• 제3권1호
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• pp.34-38
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• 1989

This research was carried out to elucidate on standing crops , dry matter yields , the nutritive value and in vitro digestihility according to mowing frequency and period during the growing season in the 3cm moving plot in Korean Lawn , Zoysia japonica Sheud . The increasing tendency in the standing crops was showed yield from May to Septemher . In the dry matter yield , there was a tendency of rapid increase from May to August ( maximum level ). Afterwards there appeared a tendency of decrease slight ( Table 3). The nutritive value and in vitro digestihility ; The crude protein and crude fat in the 3cm moving plot showed a tendency of slight decrease as a moving period and frequency . On the other hand , Neutral detergeat fiber , Acid detergent fiber and cellulose showed a tendency of slight increase as mowing period and frequency . in vitro digestibility appeared a rapid decreasing rate as a mowing period and frequency was delayed (table 2.4).

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2008년도 International Symposium on Remote Sensing
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• pp.147-150
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• 2008

This study refers to develop a semi-automatic extraction of agricultural land use and vegetation information using high resolution satellite images. Data of IKONOS satellite image (May 25 of 2001) and QuickBird satellite image (May 1 of 2006) which resembles with the spatial resolution and spectral characteristics of KOMPSAT3. The precise agricultural land use classification was tried using ISODATA unsupervised classification technique and the result was compared with on-screen digitizing land use accompanying with field investigation. For the extraction of vegetation information, three crops of paddy, com and red pepper were selected and the spectral characteristics were collected during each growing period using ground spectroradiometer. The vegetation indices viz. RVI, NDVI, ARVI, and SAVI for the crops were evaluated. The evaluation process is under development using the ERDAS IMAGINE Spatial Modeler Tool.