• 한국환경과학회지
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• 제26권11호
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• pp.1247-1253
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• 2017

The Fuji variety of apple, introduced in Japan, has excellent storage quality and good taste, such that it is the most commonly cultivated apple variety in Gunwi County, North Gyeongsang Province, Korean Peninsula. Accurate prediction of harvest maturity allows farmers to more efficiently manage their farm in important aspects such as working time, fruit storage, market shipment, and labor distribution. Temperature is one of the most important factors that determine plant growth, development, and yield. This paper reports on the beta distribution (function) model that can be used to simulate the the phenological response of plants to temperature. The beta function, commonly used as a skewed probability density in statistics, was introduced to estimate apple harvest maturity as a function of temperature in this study. The model parameters were daily maximum temperature, daily optimum temperature, and maximum growth rate. They were estimated from the input data of daily maximum and minimum temperature and apple harvest maturity. The difference in observed and predicted maturity day from 2009 to 2012, with optimal parameters, was from two days earlier to one day later.

• Journal of Communications and Networks
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• 제14권2호
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• pp.140-150
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• 2012

In this paper, we investigate the optimal packet scheduling problem in a two-user multiple access communication system, where the transmitters are able to harvest energy from the nature. Under a deterministic system setting, we assume that the energy harvesting times and harvested energy amounts are known before the transmission starts. For the packet arrivals, we assume that packets have already arrived and are ready to be transmitted at the transmitter before the transmission starts. Our goal is to minimize the time by which all packets from both users are delivered to the destination through controlling the transmission powers and transmission rates of both users. We first develop a generalized iterative backward waterfilling algorithm to characterize the maximum departure region of the transmitters for any given deadline T. Then, based on the sequence of maximum departure regions at energy arrival instants, we decompose the transmission completion time minimization problem into convex optimization problems and solve the overall problem efficiently.

• 한국식품영양학회지
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• 제31권2호
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• pp.213-219
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• 2018

This study was performed to determine the optimal time of harvest for ramie leaves with the two varieties (Seocheon Seobang and Seoncheon Baekpi) by comparison of physiological activity and physicochemical characteristics. The crude protein, minerals, ascorbic acid, folate, chlorophyll, ACE inhibitory activity and AChE inhibitory activity were determined. The amount of crude protein in ramie leaf, which was collected in Seocheon-gun, Chungcheongnam-do, grew up steadily from early May to September. The content of calcium in was higher in Baekpi than in Seobang. Seobang displayed its highest value of 3,569.90 mg% in September, while Baekpi displayed its highest value of 3,163.84 mg% in October. Although, folate and vitamin C contents in the two varieties were slightly different, they were higher as the growth date grew in October. The highest value of chlorophyll content was observed in October, which was later in the vegetative state. ACE inhibitory activity and AChE inhibitory activity appeared to be higher in Baekpi than in Seobang. Between June and August, ACE inhibitory activity was highest in Baekpi variety.

• 농업과학연구
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• 제46권2호
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• pp.381-393
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• 2019

A smart farm is a system that combines information and communication technology (ICT), internet of things (IoT), and agricultural technology that enable a farm to operate with minimal labor and to automatically control of a greenhouse environment. Machine learning based on recently data-driven techniques has emerged with big data technologies and high-performance computing to create opportunities to quantify data intensive processes in agricultural operational environments. This paper presents research on the application of machine learning technology to diagnose the growth status of crops and predicting the harvest time of strawberries in a greenhouse according to image processing techniques. To classify the growth stages of the strawberries, we used object inference and detection with machine learning model based on deep learning neural networks and TensorFlow. The classification accuracy was compared based on the training data volume and training epoch. As a result, it was able to classify with an accuracy of over 90% with 200 training images and 8,000 training steps. The detection and classification of the strawberry maturities could be identified with an accuracy of over 90% at the mature and over mature stages of the strawberries. Concurrently, the experimental results are promising, and they show that this approach can be applied to develop a machine learning model for predicting the strawberry harvesting time and can be used to provide key decision support information to both farmers and policy makers about optimal harvest times and harvest planning.

• 한국작물학회:학술대회논문집
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• 한국작물학회 2017년도 9th Asian Crop Science Association conference
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• pp.222-222
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• 2017

This study aimed to determine an optimal temperature of root zone for the chive cultivation in a greenhouse during the winter season that may raise the possibility of chive (Allium schoenoprasum L.) harvest any time year-round by reducing energy consumption. The maximum and minimum temperatures of root zone were 26.8 and $19.8^{\circ}C$ for the R-Z20, 28.3 and $23.6^{\circ}C$ for the R-Z25 and 22.4 and $14.3^{\circ}C$ for the control. The highest fresh weights of shoot and root, plant height, root length and stem diameter were observed in the R-Z20 treatment. There was no significant difference in the growth between the R-Z25 and control treatment. These results suggest that the optimal temperature of root zone is $20^{\circ}C$ for the chive cultivation in the greenhouse during winter season.

• 한국농림기상학회지
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• 제17권4호
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• pp.333-339
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• 2015

기온자료만으로 배추의 결구시기 및 수확적기를 정확하게 예측하기 위해 실측자료에 근거한 배추 생육단계 예측모형을 개발하였다. 이 모형에서는 배추의 일생을 생육기와 결구기로 나누고 각각에 대해 매일의 생장량이 최적 함수식에 의해 계산된다. 최적 함수식의 도출에는 강원도 고랭지 여름배추 주산지와 전남 해남의 가을배추 주산지 7개 농가, 8개 작형에서 수집된 2012-2014년 자료가 활용되었다. 예측모형의 성능검증에는 같은 지역의 다른 농가 17개에서 수집된 생육자료와 소기후모형에 의해 복원된 국지기온자료로 구성된 독립자료세트가 사용되었는데, 17개 지점의 3년간 수확예정일 평균추정오차(RMSE)는 5.3일 이었다. 이 모형은 기상청의 일별 기온자료를 이용하여 다양한 지역과 작형에서 재배되는 배추의 결구기와 수확기를 예측하는 소위 '농업기상예보' 목적으로 활용될 수 있을 것이다.

• 한국산림과학회지
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• 제98권1호
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• pp.125-131
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• 2009

산림청에서는 지속가능한 산림경영의 실현과 국내 목재수급 및 우량 목재자원 확보를 위해서 전국 450개 단지, 292만ha의 산림을 경제림육성단지로 지정하고, 경제림육성단지별 관리계획을 수립하도록 하였으며, 이를 통해 각 지자체에서 보다 체계적이고 집약적으로 산림사업을 관리할 수 있도록 유도하고 있다. 현재 우리나라 산림의 대부분은 III, IV영급에 집중되어 있기 때문에 지속가능한 산림경영을 위해서는 이러한 불균형한 영급구조를 개선하는 것이 무엇보다 시급한 과제이다. 본 연구에서는 충북 영동군의 경제림육성단지를 대상으로 이 지역의 산림을 지속가능한 영급구조로 유도할 수 있도록 경영목표를 설정하고, 이를 위해 필요한 벌채수확량을 산출하였다. 벌채수확량의 최적화를 위해서 목표계획법(Goal Programming)을 적용하였으며, 그 결과 연구대상지의 산림을 지속가능한 영급구조로 유도하기 위해서는 50년을 전체사업기간으로 하여 매 분기(10년)별로 약 124만$m^3$의 벌채수확이 필요한 것으로 나타났다. 본 연구결과는 앞으로 영급구조 개선을 위한 관련 정책 및 사업들을 수립하는데 활용될 것으로 기대된다.

• 한국식품영양과학회지
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• 제44권11호
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• pp.1653-1659
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• 2015

본 연구는 흑미 수확시기에 따른 종실의 이화학적 특성 및 항산화 활성 변이를 검토하였는데, 실험에 이용된 흑미 5개 품종(눈큰흑찰, 신농흑찰, 신토흑미, 조생흑찰, 흑진주)의 출수일로부터 각각 35, 40, 45, 50, 55일에 수확을 하여 출수 후 수확일수에 따른 특성을 비교한 결과, 무기성분(칼륨, 칼슘, 마그네슘)은 수확시기에 따른 유의성이 인정되지 않았다. 기능성 성분인 폴리페놀의 경우 흑진주를 제외하고 4개 품종에서 출수 후 35일 이후 시간이 지날수록 감소하는 경향이었고, 플라보노이드도 조생흑찰 및 흑진주를 제외하고 수확시기에 따라 함량이 감소하는 경향이었다. 수확시기와 안토시아닌 함량과의 관계를 분석한 결과 모든 품종이 부의 상관관계를 보였고, 흑진주벼를 제외하고는 $R^2$ 값이 0.8~0.9 정도로 유의성이 인정되었다. 항산화 활성 또한 흑진주 벼를 제외하고는 출수 후 35일경이 항산화 활성이 가장 높았고, 이후 점점 감소하는 경향이었다.

• 수산해양교육연구
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• 제16권1호
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• pp.84-98
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• 2004

Due to a publicly owned resources, the overexploitation of the fisheries resources can result in externalities in the form of reduced future levels of yield. These problems can be theoretically improved through effective management of the fishery. The paper illustrates maximum sustainable yield(MSY), maximum economic yield(MEY) and F0.1 level of fishing mortality as the concept of optimal yield, and it theoretically shows that MSY is more appropriate for the optimal yield than MEY where prices increase even though MEY achieves the maximization of economic rent in a fishery assuming constant prices. And the paper presents several fisheries management tools and policies such as input controls, output controls and taxes. As the traditional approach to fishery management, input controls involve restrictions on the physical inputs into the production process(e.g. capital, time or technology) and output controls involve limits on the quantity of fish that can be landed. To introduce user cost into the harvest decisions of rent-seeking fishers, taxation, as a bioeconomic management policy of the fisheries, directly addresses the problems associated with the resource being unpriced. As most fisheries management plans, however, have increasing fisher income as an objective, taxes have not been introduced into any fisheries management policies despite their theoretical attraction.

• Clinical and Experimental Reproductive Medicine
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• 제21권2호
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• pp.207-214
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• 1994

This study was carried out to develop the methodology of chromosome preparation from blood cultures in mammals which included human, mouse, cattle and pig. For karyotyping, 0.5-5.0ml of peripheral blood were collected and cultured. The satisfactory results were obtained from macroculture and microculture in all species. In culture, the patterns of cell growth were no difference among media except serum concentration and mitogen supplement. The presence of mitogen and fetal bovine serum in medium significantly affected the mitotic index. The optimal culture condition was 37$^{\circ}C$ for 3 days. And the concentration of colcemid and reincubation time also affected the chromosome morphology. In harvest, chromosome patterns were mainly affected on hypotonic treatment which included treated time and temperature, dropwise of fixative solution, and drying after slide preparation.