• Title/Summary/Keyword: 수확환경

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Changes in Marketability of Strawberry 'Maehyang' for Export as Affected by Harvest Time of the Day and Temperature of Precooling and Storage (수출 딸기 '매향'의 일중 수확시기와 예냉 및 저장 온도에 따른 상품성 변화)

  • Park, Ji Eun;Kim, Hye Min;Hwang, Seung Jae
    • Journal of Bio-Environment Control
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    • v.29 no.2
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    • pp.153-160
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    • 2020
  • This study was conducted out to investigate the effect of harvest time of the day, precooling or not, and temperature of precooling and storage on the marketability in strawberries 'Maehyang' for export in May. Strawberry colored with 60±5% of the skin was harvested at 07:00 am or 15:00 pm, respectively. After harvesting, some strawberries were precooled to 0, 2, 4℃ for 3 hours in the cold store, respectively, and the others were kept at room temperature. And then, strawberries were stored at low temperature in the cold store set at 4, 8 or 10℃ storage temperatures. The weight loss rate, firmness, soluble solids content, color, incidence of gray mold of strawberries were measured at two days intervals during storage for 14 days. Both 07:00 am and 15:00 pm harvest, fruits as the storage periods lapses increased weight loss rate compared to the weight at harvest time of the day, and the difference in the weight loss rate of fruits depending on the treatment was greater at 15:00 pm harvest than at 07:00 am. Firmness tended to increase again after 8th day at 07:00 am or 15:00 pm harvest, respectively. In the afternoon harvest, 10℃ storage without precooling showed the lowest fruit firmness on the 2nd day after storage. The soluble solids content at 07:00 am or 15:00 pm harvest tended to be maintained at high value with precooled and stored at low temperature as storage days elapse. The color values were significantly higher at 'L' indicating brightness and lower at 'a', indicating redness at low storage temperature regardless of harvesting time of the day and whether it was precooling or not. The incidence of gray mold was higher at 15:00 pm harvest than at 07:00 am harvest, and it was significantly higher in the treatments stored at 10℃ after precooling similarly. In this study, strawberry 'Maehyang' for export harvested at 07:00 am and stored at 4℃ after precooling at 0℃ maintained the best shelf life, therefore, it is judged that desirable to harvest in the morning with low temperature and to precool and store at low temperature.

Development of Automatic Air Blast Watering Machine for Mushroom Growing (버섯재배 자동 송풍.관수장치 개발)

  • 최광재;박환중;박경규;이성현;유병기
    • 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)

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Correlationship between Climatic Elements and Internal Characteristics of Red Pepper Fruit in Different Growing Periods (홍고추 생육시기별 기상여건과 내적품질과의 상관관계)

  • 조병철;박권우;강호민;이우문;최정숙
    • Journal of Bio-Environment Control
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    • v.13 no.2
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    • pp.67-72
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    • 2004
  • Red peppers(Capsicum annuum L.), 'Geumtap' and 'Bugang', were cultivated at main producing areas in Korea, and harvested 4 times in 1998 and 1999. The relationships between internal qualities such as reducing sugar, capsaicinoids, and vitamin C contents, and regional climatic elements such as total accumulated air temperature, total amount of precipitation and sunshine duration during the fruit growing periods were compared. The amount of reducing sugar increased as the harvest time was late. Capsaicinoids content varied by harvest dates and cultivated years. Vitamin C content was influenced by cultivated year more than cultivars. Reducing sugar content showed a negative relationship with total amount of precipitation but showed a positive relationship with sunshine duration. There were negative relationship between the contents of capsaicinoids and vitamin C and total amount of precipitation.

Recent Advances on MOF-assisted Atmospheric Water Harvesting at Dry Regions (수분 수착 MOF를 이용한 건조한 지역의 대기 중 워터하베스팅 기술의 최근 동향)

  • Geunho Lee;Woochul Song
    • Membrane Journal
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    • v.34 no.1
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    • pp.30-37
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    • 2024
  • As a promising method to address global water scarcity, sorbent-assisted water harvesting from air has shown great potential to deliver drinking water for inlands lacking traditional water sources. In this article, the recent studies of using metal-organic frameworks (MOFs) as sorbents to harvest atmospheric water will be introduced. Compared to the other sorbent materials such as zeolites or silica-based materials, MOFs have shown prospective properties such as the water isotherm inflection points as low as ~10%, which are suitable for harvesting water at dry regions. Due to this property, recently, MOFs have been extensively adopted to develop practical water harvesting devices that can harvest water. Since atmospheric water is accessible anywhere and anytime in the world, this technology is expected to open a new avenue in terms of securing safe water for the future.

Basic Studies for the Breeding of High Protein Rice -V. Effect of planting and harvesting date on the amylose and protein content in rice grain- (수도 고단백계통 육성을 위한 기초적 연구 -V. 파종 및 수확시기가 쌀의 Amylose 및 단백질함량에 미치는 영향-)

  • Huhn-Pal Moon;Mun-Hue Heu
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.19
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    • pp.14-20
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    • 1975
  • In order to obtain the fundamental informations on the variation of protein and amylose content in rice grain, 4 varieties were subjected to the 5 different harvesting with 5 different plantings. Amylose content in the rice grain were increased by later planting. Protein content of thermo-sensitive rice varieties were decreased while those of photo-sensitive varieties were increased by delayed planting. Interactions among planting date, variety and harvesting date were highly significant for amylose content, but not significant for protein content.

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Effect of Cultural Practice and Harvest Time on Yield Components of Peanut (땅콩의 재배방법 및 수확시기가 수량구성 형질에 미치는 영향)

  • Jeong-Hae Oh
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.37 no.4
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    • pp.347-354
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    • 1992
  • Late harvest in peanut has often resulted in reduced yield and dissipation of labor by virtue of increasing over-matured pods causing the pod shattering. Present study was conducted to obtain a basic information for deciding optimum harvest time of the peanut in Chungbuk province by examination of yield components at different harvest time of leading cultivars Saedl and Youngho cultivated with vinyl mulching or non-mulching conditions. Peg number and pod number were significantly increased by vinyl mulching and also significantly different by the harvest time. Pod number increased with the lapse of days after flowering was gradually decreased from 100 days after flowering in saedl and 110 days in Youngho. Number of seed-bearing pods and matured seed percent were significantly increased by vinyl mulching and had tendency to increase with the lapse of days after flowering. There was no significant difference in number of over-matured pods and pod shattering percent between vinyl mulching and non-mulching. They increased drastically in 110 days after flowering in Saedl, but in 120 days after flowering in Youngho, Increase in 100 seed weight by vinyl mulching was statistically nonsignificant in both varieties, however, total seed yield was significantly increased by vinyl mulching, showing maximum yield in 100 days after flowering in the variety Saedl and 110 days in Youngho, respectively, Seed yield was negatively correlated to peg number and positively correlated to pod number, seed-bearing pod number, pod shattering percent, matured seed percent and 100 seed weight, respectively.

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A study on skin temperature distribution of the human body as fundamental data for developing heat energy harvesting clothing (열전에너지 수확 의류를 위한 인체표면 온도분포의 기초적 고찰)

  • Yang, Jin-Hee;Cho, Hyun-Seung;Park, Sun-Hyung;Lee, Joo-Hyeon
    • Science of Emotion and Sensibility
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    • v.14 no.3
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    • pp.435-444
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    • 2011
  • The development of ubiquitous healthcare technology and portable electronic devices requires new energy sources for providing continuous power supply. This study particularly focuses on an energy harvesting system capable of charging energy using clothing. One of the sources for energy harvesting is heat energy, which is the difference in temperature of the body and the surrounding environment. In this study, the skin temperature distribution of the human body was empirically measured to determine the basic materials needed to develop heat energy harvesting clothing. The distribution of skin temperature in different sections of the human body was analyzed. The analysis found that the skin temperature of the upper body was higher than that of the lower body. The area close to the heart with a lot of blood flow was especially high. The skin temperature of the back side of the body, such as the back of the neck, upper back, and waist, was higher than that of the front side of the body. As for the arms, the skin temperature of the upper arms was higher than that of the lower arms, and the skin temperature of the back side of the arms was lower than that of the front and the flank side of the arms. The difference in the average skin temperature and the environment temperature was highest at the back of the neck, and thereby is considered to be the most appropriate section to integrate the heat energy harvesting function and structure. The following sections had the next highest difference in values, listed in descending order: the back of the waist, the sides of shoulders, the front chest area, the front side of the upper arms, and the front abdomen. Based on the skin temperatures of the different sections of the human body, this study outlines the basic guidelines for developing heat energy harvesting clothing.

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Changes of Growth and Yield by using Rootstocks in Tomato (대목사용에 따른 토마토의 생육 및 수량 변화)

  • Lee, Hyewon;Hong, Kue Hyon;Kwon, Deok Ho;Cho, Myeong Cheoul;Lee, Jun Gu;Hwang, Indeok;Ahn, Yul Kyun
    • Journal of Bio-Environment Control
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    • v.29 no.4
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    • pp.456-463
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    • 2020
  • This research was conducted to examine the changes in yield and difference in growth, using rootstocks in tomatoes as the growth indicators. Seedlings of tomato 'Gama', were used as scion and non-grafted control, while 4 different grafted tomatoes 'Powerguard', 'T1', 'L1', and 'B.blocking' were used as rootstocks. The non-grafted and grafted plants were grown in hydroponics for long-duration cultivation under plastic greenhouse conditions. The total yield of grafted tomato 'Powerguard' and non-grafted tomato 'Gama' were 8,428 g and 7,645 g, respectively. The flowering position of grafted plants 'B.blocking' and non-grafted plants at the latter period were 17.58 cm and 14.92 cm, respectively. The results showed that the yield and the balance of the plant were improved until the end of the harvest by grafting. The difference in yield between non-grafted and grafted tomatoes was evident in the 19th cluster, 236 days after planting. Therefore using rootstocks could be advantageous for long-duration cultivation in tomatoes.

Design and Implementation of Fruit harvest time Predicting System based on Machine Learning (머신러닝 적용 과일 수확시기 예측시스템 설계 및 구현)

  • Oh, Jung Won;Kim, Hangkon;Kim, Il-Tae
    • 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.