• Proceedings of the Korean Society for Bio-Environment Control Conference
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• 1992.12a
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• pp.14-14
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• 1992

시설원예에 있어서 작물의 생장량을 촉진시켜 수확시기를 앞당기고, 생산량을 증가시키며, 품질을 향상시키기 위하여 탄산가스를 시비하는 재배방법이 도입되고 있다. 그러나 탄산가스의 시비가 작물에 악영향을 주는 경우도 보고되고있어 탄산가스 시비에 주의를 기울여야 한다. 기존의 탄산가스 시비방법은 일정한 농도를 유지하는 것으로 탄산가스 낭비나 고농도에 의한 생육장애 혹은 탄산가스 결핍을 초래하는 등의 문제점을 갖고 있다. (중략)

• Proceedings of the Korean Society for Bio-Environment Control Conference
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• 1998.05a
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• pp.140-147
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• 1998

과육선숙 경향이 있는 온주밀감에서는 착색시에 수확을 하여 인공착색(북천, 1974)을 하는 경우도 있지만 시장가격이 높게 형성되는 시기에 수확이 집중되어 소비자나 시장관계자의 불평을 사는 일이 있다. 이러한 연유로 인해서 실제 재배에서는 착색저해나 착색지연 등의 제 요인을 제거(고교, 1965 : 송본, 1975)하는 것 이외에 오히려 적극적으로 착색촉진을 목적으로 한 비배관리나 착색촉진제 등(광뢰 등, 1970 : 암원, 1979 : 암원등, 1979)이 사용되어져 왔다. (중략)

• Journal of Bio-Environment Control
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• v.19 no.4
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• pp.343-350
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• 2010

This study was conducted to investigate the effect of harvest seasons on quality and microbial population at different steps of production chain of fresh-cut iceberg lettuce. Iceberg lettuces harvested in May, June, July, October, and December were processed following industrial practices, and stored at $5^{\circ}C$ for 9 days. For microbial measurement, samples were taken from each of the following steps: harvest, transport, pretreatment, cutting, 1st-washing, 2nd-washing, and day 3, 6, and 9 of storage. Iceberg lettuce cultivated in protect house and harvested in May and October showed higher $CO_2$ levels in the packages and electrolyte leakages than lettuce harvested in June, July and December. Microbial population of raw materials harvested in July was highest (6.76 log), and microbial growth rate during storage was highest in samples harvested in May. Lettuce harvested in June had better quality and microbial safety compared to other lettuces. Although lettuce harvested in October and December had less microbial population in either raw materials or processed products, those samples had inferior quality due to off-odor development and severe browning. Therefore, it is required to maintain quality and ensure microbial safety to distribute fresh-cut lettuce with high quality and safety throughout the year.

• Proceedings of the Korean Society for Bio-Environment Control Conference
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• 2000.10b
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• pp.120-123
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• 2000

느타리버섯의 재배 환경관리는 버섯의 품질과 수확량을 좌우하는 매우 중요한 요소이지만 버섯배지의 적정 수분유지 및 습도조절에는 많은 노력과 시간이 요구된다. 이 연구는 느타리버섯의 수확시기에 버섯재배사 통로를 왕복 주행하며 버섯균상 2열 4-5단 균상에 필요한 량의 물을 뿌려주고 바람으로 배지표면의 물을 말려주며 주기적으로 안개분무로 가습하여 버섯 재배환경을 적합하게 유지하는 장치개발을 위하여 수행하였다. (중략)

• Proceedings of the Korean Society for Bio-Environment Control Conference
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• 1999.11a
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• pp.196-199
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• 1999

국내의 오이 양액재배기술은 그 역사가 짧을 뿐만 아니라 아직은 학문적인 전문성이나 기술적인 세분화 및 다양화 정도에 있어서 양액재배가 발전된 선진국에 비해 저위 수준에 머물러 있다. 특히, 양액재배 오이는 생육이 빨라 수확시기가 단축되므로 수확기가 단기간에 집중되는 반면, 후기에는 초세가 약화되기 쉬우므로 수확량이 좋지 않은 점이 지적되고 있으며, 저일조ㆍ저온기에 정식되는 작형에서는 과실의 착과율이 저하되는 경우가 많으므로 고형배지경에 있어서 배지의 선택이나 근권온도, 산소 등의 관리에 주의를 기울임과 동시에 정지적엽방법의 개선과 전문적인 요구되는 양액관리기술의 체계적 정립을 통해 오이양액재배시 문제가 되는 조기노화의 원인을 사전에 방지하므로써 장기재배가 가능토록 함과 동시에 양액재배 오이의 생산성과 품질을 획기적으로 향상시킬 수 있는 재배법과 기술체계의 확립이 시급하다. (중략)

• 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.

• Proceedings of the Korean Society for Bio-Environment Control Conference
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• 2002.04a
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• pp.37-43
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• 2002

녹색꽃양배추는 이용부위를 기준으로 할 때 화채류로 분류되어 화전을 수확대상으로 하며 화뢰의 발육적온은 15-18℃로, 재배시기가 고온에 가까워지는 초여름부터 초가을 수확의 작형에서는 화뢰형성 불량 등 이상화뢰의 발생이 많아지게 된다(Fujime와 Hirose, 1981). 특히 봄철 노지 재배에서는 15-25℃의 생육적온을 벗어나는 저온과 고온에 조우될 위험성이 크며, 생육초기의 저온과 후기의 고온이 품질저하의 원인이 되므로 (Takuya와 Tugio 1994), 무리한 조기정식을 피하고 가능한 6월 중순 이전에 수확을 마쳐야 한다. (중략)

• Journal of Bio-Environment Control
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• v.11 no.4
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• pp.157-162
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• 2002

The efficient timer-controlled irrigation and the favorable fruiting position were investigated far highly quality melon fruits from Feb.18 to July Si 1999. The nutrient solution was supplied either at every hour from 6：00 to 18：00 (T-1) or at 6：00, 8：00, 10：00, 11：00, 12：00, 12：30, 13：00, 13：30, 14：00, 14：30, IS：00,16：00, and 17：00 (T-2). A fruit was set at the first node of the fruit bearing branch from the 10, 12, or 13th node of the main stem. Pot weight was maintained at almost n constant level, regardless of the daily integrated solar radiation in T-2. Soluble solids content (SSC) and fresh weight of fruit were not significantly different among the irrigation treatments at each harvesting time. At the first harvest, SSC and fresh weight of fruit were not significantly different between the fruiting positions within the irrigation treatment. At the second harvest, SSC was higher in T-2 than T-1. The SSC was low in the fruit of the loth node in T-1, while it was not significantly different between fruiting positions in T-2. Fruit fresh weight was the highest at the 12 and 13th nodes in T-1, and the 13th node in T-2. Fresh and dry weights of leaf except petiole, regardless of harvesting time, increased as the node position was higher, The higher the fruiting position was, the lower the leaf weight was. Therefore, it is recommended to irrigate more frequently during the mid-noon. Fruits can be harvested earlier at the lower nodes in the spring crop production.

• Journal of Bio-Environment Control
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• v.29 no.4
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• pp.421-427
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• 2020

In this study, we investigated the effect of nutrient supply periods on the fruit growth and quality of 'Duke' blueberry. The nutrient solution was contained with NO₃-N 4.6, NH₄-N 3.4, PO₄-P 3.3, K 3.0, Ca 4.6, and Mg 2.2 mmol·L^-1, and EC in the nutrient solution was 1.5 ds.m^-1. In 2017 and 2018, an individual blueberry bush was supplied with 8 L of the nutrient solution per week. In 2018, the drainage water quality of growing medium and fruit quality was investigated. The nutrient supply was started from April 01, and stopped at 15 days intervals as follows, 15 days before final harvest, at the final harvest date (June 30), 15 days after final harvest (DAFH), 30 DAFH, 45 DAFH, and 60 DAFH. The content of inorganic components in the growing medium was not significantly different by the stop time of nutrient supply, but the content of phosphorus (P₂O₅) tended to increase with the delay of stop time of nutrient supply. There were no significant differences in the fruit quality characteristics in terms of size, sugar content, and acidity among the different stop time of nutrient supply. The blueberry yield was tended to decrease with the delay of periods of nutrient supply, while the lowest yield of 1.8 kg was recorded when nutrient supply stopped at 45 and 60 DAFH.

• Journal of Bio-Environment Control
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• v.16 no.4
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• pp.344-347
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• 2007

Optimal date to cover plastic film tunnel for hastening the harvest and increasing the yield in asparagus was studied using 2-year-old 'Green tower' cultivar in Jeju. Plastic film tunnel was covered on January 10 and 21, and February 10 and 25 in 2004. The asparagus spear sprouted on March 3 in the control. They emerged earlier by about 2 to 3 weeks in the plots covered on January 10 and 25 than the control. First harvesting was hastened by 3 weeks in the plots covered on February 10 and two weeks in the plots covered on January 25 and February 10 compared to the control. Yield per plant was the highest in plastic film tunnel covered on January 10 and 25. Early harvesting in february in plastic film tunnel covered on January 10 and 25 were 325 and 333 kg/10a respectively with no significant difference between two treatments whereas yield was low significantly in plastic film tunnel covered on February 10 and 25.