• The Bimonthly Magazine for Agrochemicals and Plant Protection
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• v.10 no.3 s.90
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• pp.82-89
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• 1989

포도는 생육기간중 뿐만 아니라 수확후 저장, 수송중에도 많은 종류의 병에 의하여 피해를 받아 수확량이 감소되고 품질이 저하된다. 각종 병에 의한 수확량 감소는 해마다 차이가 있으나 외국의 경우 일반적으로 약 $5\%$정도의 수확량이 감소되는 것으로 추측되고 있고 기상환경이 적합하여 병이 대발생할 경우에는 수확량이 $20\~80\%$ 감소된다는 보고도 있다. 이러한 심각한 손실을 일으키는 병들의 병원균은 크게 곰팡이, 세균, 바이러스, 선충으로 구분될 수 있는데 지역에 따라 존재하는 병원균의 종류, 재배품종들의 각종 병에 대한 감수성 정도, 그리고 기상환경에 따라 각 포도원에서 발생되는 병의 종류와 병 발생량에 차이가 있다. 우리나라에서 발생되는 포도병은 18종이 기록되어 있는데 여기서는 곰팡이에 의한 병인 흰가루병, 노균병, 탄저병, 흑두병, 잿빛곰팡이병의 발생생태와 방제법에 관하여 알아본다.

• Smart Media Journal
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• v.6 no.4
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• pp.58-64
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• 2017

Modern society is characterized by rapid increase in world population, aging of the rural population, decrease of cultivation area due to industrialization. The food problem is becoming an important issue with the farmers and becomes rural. Recently, the researches about the field of the smart farm are actively carried out to increase the profit of the rural area. The existing smart farm researches mainly monitor the cultivation environment of the crops in the greenhouse, another way like in the case of poor quality t is being studied that the system to control cultivation environmental factors is automatically activated to keep the cultivation environment of crops in optimum conditions. The researches focus on the crops cultivated indoors, and there are not many studies applied to the cultivation environment of crops grown outside. In this paper, we propose a method to improve the harvestability of poor areas by monitoring the areas with bad harvests by using big data analysis, by precisely predicting the harvest timing of fruit trees growing in orchards. Factors besides for harvesting include fruit color information and fruit weight information We suggest that a harvest correlation factor data collected in real time. It is analyzed using the Apache Spark engine. The Apache Spark engine has excellent performance in real-time data analysis as well as high capacity batch data analysis. User device receiving service supports PC user and smartphone users. A sensing data receiving device purpose Arduino, because it requires only simple processing to receive a sensed data and transmit it to the server. It regulates a harvest time of fruit which produces a good quality fruit, it is needful to determine a poor harvest area or concentrate a bad area. In this paper, we also present an architectural model to determine the bad areas of fruit harvest using strong data analysis.

• Proceedings of the Korean Society for Bio-Environment Control Conference
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• 2001.11a
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• pp.129-135
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• 2001

농가에서 건초용 고추를 재배하는 일반적인 방법은 온상 육묘한 다음, 서리 피해가 없는 때에 노지에 멀칭 또는 터널을 설치하여 이식재배하고, 서리가 올 때까지의 재배기간 중에 6-8차례에 걸쳐 적과를 수확하여 건조시킨다. 이와 같은 재배방법은 육묘와 수확에 노동력이 많이 투입되므로 고추의 생산비를 낮추기 어렵다. 뿐만 아니라 고온성 작물인 고추를 저온기에 육묘하려면 난방 등 에너지의 비용이 높고 여러 가지의 육묘 자재가 필요하다. (중략)

• Proceedings of the Korean Society for Bio-Environment Control Conference
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• 2002.11a
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• pp.332-339
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• 2002

최근 국내 절화 상품이 외국으로 수출되는 물량이 급격히 증가(화훼류 수출실적 '01 현재 3,000만불)되고 있으나 수확 후 관리 미숙에 의한 불개화 및 조기노화 현상이 나타나 이 문제들을 해결할 수 있는 방안이 절실하다. 이러한 문제들을 해결하기 위해서는 주요 수출작물의 재배시 수확 후 저장 및 유통에 따른 연속적이고 체계화된 품질 향상 및 보장문제를 해결할 수 있는 기술개발이 절대적으로 필요하다. (중략)

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 2002.07a
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• pp.370-375
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• 2002

동일한 포장내에서도 위치별로 토성과 비옥도에 따른 수확량에 서로 차이가 있으나 현재는 비료와 농약 등을 전체 포장에 대하여 동일한 기준으로 다량 살포하고 있어 농자재의 과다투입에 의한 환경오염이 초래되고 있다. 이러한 불합리한 영농을 배제하고 친환경적인 정밀농업을 구현하기 위해서는 작물재배 환경에 따른 포장 각 지점의 수확량을 정확히 계측하여, 수확량과 토성이나 토양의 비옥도, 생육상태, 균평도 등과 같은 포장정보들 사이의 상관관계를 분석하여 비료 농약의 적절한 투입량을 결정하는 것이 필요하다. (중략)

• Journal of Bio-Environment Control
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• v.18 no.3
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• pp.280-284
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• 2009

One of the big obstacles to cultivate asparagus was long days taking before first harvesting. This study was carried out to hasten the first harvesting of summer planted asparagus in Jeju. Seedlings were raised for three months and planted June 20th in green house. Harvesting of Spring were separated into non-harvested (control) and harvested (partly-harvesting, completely-harvesting). The first year we could harvest $399kg{\sim}400kg/10a$ in harvesting treatment. Second year's yield was 834kg/10a in partly-harvesting, 825kg/10a in completely-harvesting treatment and 908kg/10a in control. There is no significant difference in second years yield regardless of first year's harvesting methods. The accumulated total yield was increased by 35% (l,229kg/10a) in harvesting treatment from the first spring compared with the control. Marketable yield was increased by 33% (1,116kg/10a) compared with non harvesting in first year (839kg/10a). The result of this study shows that doing harvest of the first year's spring in summer planting asparagus would be desirable for yield and possible to harvest after 8 months planting.

• 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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• 2003.04a
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• pp.135-139
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• 2003

식물생산공장은 작물의 생육에 적합하도록 환경을 최적화시킬 수 있기 때문에 최단기간에 작물을 생산할 수 있는 장점이 있다. 또한 지상부나 지하부 환경을 적절히 조절하거나 인위적인 품질제어기술을 이용하여 기존의 상품보다 품질이 월등히 높은 작물을 생산할 수 있는 여건과 설비가 조성될 수 있다. 이러한 식물공장 생산방식은 부가가치가 높은 화훼류나 분화류에 많이 적용되고 있지만, 생산기간이 길고 난방 등의 에너지가 상대적으로 많이 소요된다. (중략)

• Proceedings of the Korean Society for Bio-Environment Control Conference
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• 1998.10a
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• pp.41-46
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• 1998

최근 농업인구의 변화 및 노동력의 감소라는 현실적인 문제를 고려하여 농산물 수확에 있어서 자동화기술의 도입은 필수적이라고 하여도 과언이 아니다. 생물생산시설의 자동화를 위해서는 여러 분야에서 연구가 필요하겠지만, 그 중에서도 수확하고자 하는 대상물의 인식은 수확기 개발에 있어 가장 먼저 선행되어야 할 부분이다. 농업생산을 위한 기계화 및 자동화는 우리 나라 농업의 경쟁력확보를 위해서 가장 절실하게 요구되어지고 있으나 농산물의 수확에는 거의 자동화가 일어나지 못한 실정이다. (중략)

• KOREAN JOURNAL OF PACKAGING SCIENCE & TECHNOLOGY
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• v.22 no.3
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• pp.143-154
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• 2016

The purpose of this study was investigated the quality changes before and after harvesting, storage and, processing of onion. Experiments were carried out to compare the effect on the characteristics of the postharvest from preharvest factors using onion. This experiment had identified the characteristics of harvested onions after cultivating with several preharvest factors such as the light and water conditions. These tests were conducted in an onion growth in the field, storage, and processing of fresh-cut during a laboratory periods of 2 years. In first year, onion cultivars ('Kars' and 'Pop') were produced under stable or unstable environment conditions, these onions were stored at low temperature(0?). Measurement was evaluated by the growth amount after harvesting, and the fresh weight loss and respiration rate during storage. According to different culture conditions and storage temperatures, it was investigated the properties of the fresh-cut onion. Growth of onion was varied depending on the cultivars and culture conditions. The amount of growth on 'Kars' and 'Pop' onions were decreased by excessive soil water conditions with shading. These influences were found the morphological differences resulting for the cell tissue of onion being rough and large. Onion cultivated in excessive soil water with shading affected the degree of its respiration rate and fresh weight loss during storage. Ones in excessive soil water with shading were higher than the control in fresh weight loss and respiration rate, respectively. However fresh-cut onion could not investigated to clarify the difference due to effects of cultivation condition and storage temperature on some measure items such as electrolyte leakage and microbial number change. There was a change of only electrolyte leakage depending on the storage temperature, rather than cultivated conditions before harvesting factor. The results showed that the onion grown on in the good environment was represented to a good quality produce even after harvesting.