• 아시안잔디학회지
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• 제8권2호
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• pp.65-85
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• 1994

This study was carried out to develope DBMS program and use CAD for flower, leaf and fruit characteristics of deciduous woody landscape plants in Suwon, Korea from January 1, 1992 to March 20,1993. The results were as follows : 1. The flower, leaf and fruit characteristics of 211 species which were anthesis, flowering period, flower color, leaf spreading, leaf color before fall leaf coloring, fall leaf color, fruiting, fruit period, fruit color and trunk color were investigated through field survey. 2. DBMS program for flower, leaf, fruit and trunk characteristics of deciduous woody landscape plants was developed with data through field survey. And the DBMS program might contribute to the decision of appropriate times for planting design for flowers, fall foliage color, fruit color and hark color. 3.During this procedure, CAD software was used to demonstrate the deblossom before leaf spreading and leaf spreading in flowering, fall foliage color, fruit color after leaf falling, and hark color for planting design as well as seasonal color change of deciduous woody landscape plants.

• Journal of Biosystems Engineering
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• 제32권4호
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• pp.256-262
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• 2007

Image processing systems have been used to measure the plant parameters such as size, shape and structure of plants. There are yet some limited applications for evaluating plant colors due to illumination conditions. This study was focused to present adaptive methods to analyze plant leaf color regardless of illumination conditions. Color patches attached on the calibration bars were selected to represent leaf colors of lettuces and to test a possibility of health monitoring of lettuces. Repeatability of assigning leaf colors to color patches was investigated by two-tailed t-test for paired comparison. It resulted that there were no differences of assignment histogram between two images of one lettuce that were acquired at different light conditions. It supported that use of the calibration bars proposed for leaf color analysis provided color constancy, which was one of the most important issues in a video color analysis. A health discrimination equation was developed to classify lettuces into one of two classes, SOUND group and POOR group, using the machine vision. The classification accuracy of the developed health discrimination equation was 80.8%, compared to farmers' decision. This study could provide a feasible method to develop a standard color chart for evaluating leaf colors of plants and plant health monitoring system using the machine vision.

• Journal of Biosystems Engineering
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• 제33권6호
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• pp.446-452
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• 2008

Machine vision system was used for analyzing leaf color disorders of tomato plants in a greenhouse. From the day when a few leave of tomato plants had started to wither, a series of images were captured by 4 times during 14 days. Among several color image spaces, Saturation frame in HSI color space was adequate to eliminate a background and Hue frame was good to detect infected disease area and tomato fruits. The processed image ($G{\sqcup}b^*$ image) by OR operation between G frame in RGB color space and $b^*$ frame in $La^*b^*$ color space was useful for image segmentation of a plant canopy area. This study calculated a ratio of the infected area to the plant canopy and manually analyzed leaf color disorders through an image segmentation for Hue frame of a tomato plant image. For automatically analyzing plant leave disease, this study selected twenty-seven color patches on the calibration bars as the corresponding to leaf color disorders. These selected color patches could represent 97% of the infected area analyzed by the manual method. Using only ten color patches among twenty-seven ones could represent over 85% of the infected area. This paper showed a proposed machine vision system may be effective for evaluating various leaf color disorders of plants growing in a greenhouse.

• 한국환경복원기술학회지
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• 제11권6호
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• pp.104-111
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• 2008

Plant growth and variegated leaf color changes of three leaf variegated Sedum spectabile varieties 'Variegatum', 'Frosty Morn', red colored 'Washfield Ruby', and one Sedum lineare variety 'Variegatum' and Sedum sarmentosum under three levels of shading conditions were examined for leaf ornamental value improvement. Shading levels were 40%($1,500{\mu}mol{\cdot}m-^2{\cdot}s-^1$), 70%($750{\mu}mol{\cdot}m-^2{\cdot}s-^1$) and 85%($375{\mu}mol{\cdot}m-^2{\cdot}s-^1$). Improvements of leaf ornamental value of 'Variegatum' 'Frosty Morn' and 'Washfield Ruby' were observed at 40% shading level and plant heights and leaf sizes were also increased. Plant height of S.sarmentosum were shorten under direct sun light condition and leaf color changed to greenish yellow(RHS143B) but deep green color(RHS144A) was observed under shading conditions. Endurance of S.sarmentosum was stronger than other species and leaf ornamental values remained well at 70% shading level. Leaf width of S.lineare 'Variegatum' were not changed under shading conditions but leaf length was increased. Leaf color was Deep green color was greenish yellow under direct sun light but deepest green color was observed at 85% shading level. Consider all ornamental value criteria, best shading conditions for S.lineare 'Variegatum' were ranged 40% to 70%.

• Journal of Biosystems Engineering
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• 제22권1호
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• pp.30-40
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• 1997

A computer vision system was built to automatically grade the leaf tobacco. A color image processing algorithm was developed to extract shape, color and texture features. An improved back propagation algorithm in an artificial neural network was applied to grade the Burley type dried leaf tobacco. The success rate of grading in three-grade classification(1, 3, 5) was higher than the rate of grading in six-grade classification(1, 2, 3, 4, 5, off), on the average success rate of both the twenty-five local pixel-set and the sixteen local pixel-set. And, the average grading success rate using both shape and color features was higher than the rate using shape, color and texture features. Thus, the texture feature obtained by the spatial gray level dependence method was found not to be important in grading leaf tobacco. Grading according to the shape, color and texture features obtained by machine vision system seemed to be inadequate for replacing manual grading of Burely type dried leaf tobacco.

• 아시안잔디학회지
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• 제12권3호
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• pp.195-214
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• 1998

낙엽조경수목의 계절별 엽색 특성을 파악하여 식재계획 및 설계의 기초자료로 제공하고, 나아가 식재계획의 질적 향상을 도모하고자 낙엽조경수목 60과 211종을 대상으로 1992년 1월 1일부터 1993년 3월 20일까지 수목의 외형적 주요특성인 잎 특성을 조사한 결과는 다음과 같다. 1. 낙엽조경수목의 잎의 감상은 귀룽나무가 3월 20일 개엽한 후 붉은인동덩굴이 낙엽한 12월 17일까지 9개월여 동안 가능하였으며, 잎의 지속기간이 8개월 이상인 수종으로는 왕보리수, 능수버들, 쥐똥나무, 찔레나무, 붉은인동덩굴, 클레마티스가 있었다. 2. 단풍전 잎이 빨강색계 수종은 꽃자두, 자주일본매자, 자주색노르웨이단풍, 수양단풍, 블랙검, 홍단풍의 7수종이 있었고, 노랑색계는 노란매자나무, 중산국수나무, 황금개나리, 황금쥐똥나무의 4 수종이 있었는데 이중 황금개나리와 황금쥐똥나무는 반엽수종이었다. 3. 단풍감상은 화살나무가 9월 6일에 단풍든후 붉은인동덩굴이 12월 17일 낙엽할 때까지 3개월 10일정도 가능하였고, 단풍색은 노랑색계가 60.7%, 빨강계가 37.4%이었다.

• Preventive Nutrition and Food Science
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• 제8권2호
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• pp.185-190
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• 2003

Gamma irradiation was used as part of a new processing method to produce a brighter-colored and mild-flavored green tea leaf extract that retained all of its physiological activities. Dried green tea leaf was extracted with 70% ethanol and gamma irradiated at 0,5, 10, 20 kGy. Hunter color $L^{*}$- and $a^{*}$-values were increased with irradiation in a dose-dependent manner, which was a color range from dark brown to bright yellow. However, the irradiation effect gradually disappeared during 3 weeks of storage, with color reverting to that of untreated samples. There was no difference in the radical scavenging and tyrosinase inhibition effect by irradiation. Among antioxidants used, ascorbic acid was the most effective against color reversion. In contrast, cysteine was shown to protect the effect of color change with irradiation. Results indicated that enhanced color of irradiated green tea leaf extract can be effectively controlled by additives such as ascorbic acid and a low storage temperature.e.e.

• 농업생명과학연구
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• 제46권6호
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• pp.59-65
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• 2012

본 연구는 기능성 곡물로 이용되고 있는 아마란스(Amaranthus ssp.)를 어린잎채소 용도로 개발하기 위하여 국내에 보유되어 있는 유전자원에 대한 어린잎 생육특성, 엽 적색도 발현 정도 및 기능성 물질의 함량 변이를 평가함으로써 어린잎채소로서 이용 가능한 유망 아마란스 자원 선발을 위하여 수행되었다. 국내에 수집 보존되어 있는 아마란스 유전자원 262 종에 대하여 색도색차계로 측정한 엽 적색도 발현 정도를 기준으로 전체 자원의 상위 15%에 해당하는 39종을 1차 선발하였다. 1차 선발된 유전자원에 대하여 고온기 및 저온기의 재배를 통하여 어린잎 생육과 유전자원 별 적색소 발현을 검증 평가하여 안정적인 적색 강도를 보이는 고색도 자원을 최종 선발하였다. 아마란스의 엽 적색도는 모든 1차 선발 계통들에 있어서 고온기에 비해 저온기 재배 시 적색도 발현이 우수하였으며 2회의 재배를 통한 평균 적색도 발현 정도를 기준으로 IT199970 등 11종의 자원을 선발하였다. 이들 선발된 유전자원들에 대한 어린잎 생체중 및 총페놀 함량, 총플라보노이드 함량 정보를 제시하였다. 이들 선발 종들은 5개의 아마란스 종에 속하였으며 엽 적색도 발현이 우수하여, 향후 적색 풍미를 더하는 어린잎 샐러드 채소의 소재로서 이용 가능할 것으로 판단된다.

• 한국자원식물학회지
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• 제7권1호
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• pp.35-44
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• 1994

The seasonal flower, leaf and fruit color characterlstics of deciduous woody landscape plants were investigated through the field survey in Suwon, Korea from January 1, 1992 toMarch 20, 1993.The results were as follows ;1. There were 12 cases in the combination of leaf spreading, anthesis, deblossom, fruit coloring,fruit falling, fall foliage coloring and leaf falling of deciduous woody landscape plants(163 spe-cies) investigated. And species of the leaf spreading, anthesis, deblossom, fall foliage coloringand leaf falling were 71(43.9%). And species of the leaf spreading, anthesis, deblossom,fruit coloring, fall foliage coloring, leaf falling and fruit falling were 40(24.5% ).2. The total continuing period of the flowering, fall foliage coloring and fruit coloring of decid-uous woody landscape plants(79 species) investigated varied from 2 months to more than 9months. And the species over 3 months below 4 months were 23(29.2%).3. There were 24 cases in the combination of color of flower, fall foliage and fruit of deciduouswoody landscape plants(79 species) investigated. And the species of the white flower, red fall fo-liage and red fruit were 16(20.3% ).

• 한국연초학회지
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• 제16권1호
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• pp.26-33
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• 1994

A tobacco ripeness grading meter was designed and constructed using the color sensor, its performance was evaluated. A degree of ripeness grading of a leaf is very closely related to the measured tobacco leaf color. Measuring the small amount of the reflectance precisely depends on the apparatus including color sensor, light source, detector sensitivity, and geometric characteristics of appratus. To analyze and minimize the variational effects, experiments to select the proper condition were performed. Because of the combined effect mentioned above, the system has some variation on its response. Basis on the results of the experiments, prototype was developed and interfaced to a computer system. The main components of prototype included a tungsten lamp as a light source, Amorphous full color sensor with three filters, regulated D.C. power supply, OP - AMP(741 TC) for amplification, AR - B3001 board for interfacing to a computer with analog to digital conversion, and a compatible IBM PC XT computer. The experimental results of the developed ripeness tobacco leaf measurement system are summarized as following: [1] The output readings of ripeness grade meter for tobacco leaf, which is based on harvesting time, showed the apparent difference in variety of different quality. It was considered suitable that three filters(red, green, blue) in Amorphous full color sensor could be used in four different ripeness degree measurement of tobacco leaf. [2] The output readings of ripeness grade meter for tobacco leaf, which is based on government procurement, showed apparent difference in variety of different quality. Tobacco leaf varieties to stalk position are divided into tips, leaf, cutters, and primings, It is considered suitable that only red filter in the sensor could be used to classify the grade of tobacco leaf within the same kind tobacco stalk. However, the ripeness grade meter was not adequate to classify all the tobacco grades in the four different tobacco leaves.