• 제목/요약/키워드: Fruit detection

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Detection of Taurine in Basidiomycetes

  • Park, Tae-Sun;Park, Jung-Eun;Shim, Mi-Ja;Kim, Byong-Kak
    • Biomolecules & Therapeutics
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    • 제8권3호
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    • pp.281-284
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    • 2000
  • Taurine is one of the essential amino acids for humans and many of mammals. It is produced and contained in fleshes, shells, plants and algae, but has never been found in fungi. We examined six mushrooms for taurine and detected taurine in five of them. Taurine was determined by an automated amino acid analyzer using ion-exchange chromatography, being eluted between phosphoserine as a distinct peak on the chromatogram. Fruit bodies of Flammulina velutipes contained $83\mu$moles/100g fresh wt. the highest level among them, Agaricus bisporos $65\mu$moles, Lentinus edodes $49\mu$moles, Pleurotus ostreatus $9\mu$moles, and Auricularia auricula-judae $20\mu$moles. Taurine was not detected in Ganoderma lucidum. As far as fungi are concerned, this is the first report of the detection of taurine in Basidiomyces.

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Development of YOLO-based apple quality sorter

  • Donggun Lee;Jooseon Oh;Youngtae Choi;Donggeon Lee;Hongjeong Lee;Sung-Bo Shim;Yushin Ha
    • 농업과학연구
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    • 제50권3호
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    • pp.373-382
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    • 2023
  • The task of sorting and excluding blemished apples and others that lack commercial appeal is currently performed manually by human eye sorting, which not only causes musculoskeletal disorders in workers but also requires a significant amount of time and labor. In this study, an automated apple-sorting machine was developed to prevent musculoskeletal disorders in apple production workers and to streamline the process of sorting blemished and non-marketable apples from the better quality fruit. The apple-sorting machine is composed of an arm-rest, a main body, and a height-adjustable part, and uses object detection through a machine learning technology called 'You Only Look Once (YOLO)' to sort the apples. The machine was initially trained using apple image data, RoboFlow, and Google Colab, and the resulting images were analyzed using Jetson Nano. An algorithm was developed to link the Jetson Nano outputs and the conveyor belt to classify the analyzed apple images. This apple-sorting machine can immediately sort and exclude apples with surface defects, thereby reducing the time needed to sort the fruit and, accordingly, achieving cuts in labor costs. Furthermore, the apple-sorting machine can produce uniform quality sorting with a high level of accuracy compared with the subjective judgment of manual sorting by eye. This is expected to improve the productivity of apple growing operations and increase profitability.

초분광 반사광 영상을 이용한 '후지' 사과의 멍 검출에 관한 연구 (Study on Bruise Detection of 'Fuji' apple using Hyperspectral Reflectance Imagery)

  • 조병관;백인석;이남근;모창연
    • Journal of Biosystems Engineering
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    • 제36권6호
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    • pp.484-490
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    • 2011
  • Defects exist underneath the fruit skin are not easily discernable by using conventional color imaging technique in the visible wavelength ranges. Development of sensitive detection methods for the defects is necessary to ensure accurate quality sorting of fruits. Hyperspectral imaging techniques, which combine the features of image and spectroscopy to acquire spatial and spectral information simultaneously, have demonstrated good potentials for identifying and detecting anomalies on biological substances. In this study, a high spatial resolution hyperspectral reflectance technique was presented as a tool for detecting bruises on apple. The two-band ratio (494 nm / 952 nm) and simple threshold methods were applied to investigate the feasibility of discriminating the bruises from sound tissue of apple. The pixel wise accuracy of the discrimination was 74%. The resultant images processed with selected wavebands and morphologic algorithm distinctively showed the early stages of bruises on apple which were not discernable by naked eyes as well as a conventional color camera. Results demonstrated good potential of the hyperspectral reflectance imaging for detection of bruises on apple.

Development of Rapid Molecular Detection Marker for Colletotrichum spp. in Leaf and Fruit Tissues of Sweet Persimmon

  • Iee, Sang-Pyo;Lee, Youn-Su
    • Journal of Microbiology and Biotechnology
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    • 제12권6호
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    • pp.989-992
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    • 2002
  • Sweet persimmon (Diospyros kaki Thunb.) is widely cultivated in the southern part of Korea and its cultivation is increasing. However, anthracnose disease caused by Colletotricuhum species is one of the major hinderances to the cultivation and production of sweet persimmon. Therefore, in the current study, PCR was used to specifically detect Colletotrichum spp., based on the sequences of the ITS II regions in the rDNA. Using the sequence data, CO-1 was designated to detect Colletotrichum together the with ITS 4 primer. The result showed that a single segment of ca. 500 bp was observed only in Colletotrichum, but not in any other fungal and bacterial isolates. The annealing temperatures and template DNA quantites were also investigated to identify optimal conditions for detection. Using these species-specific primers, a unique band was obtained at annealing temperatures ranging from $55^{\circ}C\;and\;61^{\circ}C$ and template DNA levels from 10 pg- $10{\mu}g$.

Loop-Mediated Isothermal Amplification for the Detection of Xanthomonas arboricola pv. pruni in Peaches

  • Li, Weilan;Lee, Seung-Yeol;Back, Chang-Gi;Ten, Leonid N.;Jung, Hee-Young
    • The Plant Pathology Journal
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    • 제35권6호
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    • pp.635-643
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    • 2019
  • To detect Xanthomonas arboricola pv. pruni, a loopmediated isothermal amplification (LAMP) detection method were developed. The LAMP assay was designed to test crude plant tissue without pre-extraction, or heating incubation, and without advanced analysis equipment. The LAMP primers were designed by targeting an ABC transporter ATP-binding protein, this primer set was tested using the genomic DNA of Xanthomonas and non-Xanthomonas strains, and a ladder product was generated from the genomic DNA of X. arboricola pv. pruni strain but not from 12 other Xanthomonas species strains and 6 strains of other genera. The LAMP conditions were checked with the healthy leaves of 31 peach varieties, and no reaction was detected using either the peach leaves or the peach DNA as a template. Furthermore, the high diagnostic accuracy of the LAMP method was confirmed with 13 X. arboricola pv. pruni strains isolated from various regions in Korea, with all samples exhibiting a positive reaction in LAMP assays. In particular, the LAMP method successfully detected the pathogen in diseased peach leaves and fruit in the field, and the LAMP conditions were proven to be a reliable diagnostic method for the specific detection and identification of X. arboricola pv. pruni in peach orchards.

A Reliable Reverse Transcription Loop-Mediated Isothermal Amplification Assay for Detecting Apple stem grooving virus in Pear

  • Lee, Hyo-Jeong;Jeong, Rae-Dong
    • 식물병연구
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    • 제28권2호
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    • pp.92-97
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    • 2022
  • Apple stem grooving virus (ASGV) is a high-risk viral pathogen that infects many types of fruit trees, especially pear and apple, and causes serious economic losses across the globe. Thus, rapid and reliable detection assay is needed to identify ASGV infection and prevent its spread. A reliable reverse transcription loop-mediated isothermal amplification (RT-LAMP) was developed, optimize, and evaluated for the coding region of coat protein of ASGV in pear leaf. The developed RT-LAMP facilitated the simple screening of ASGV using visible fluorescence and electrophoresis. The optimized reaction conditions for the RT-LAMP were 63℃ for 50 min, and the results showed high specificity and 100-fold greater sensitivity than the reverse transcription polymerase chain reaction. In addition, the reliability of the RT-LAMP was validated using field-collected pear leaves. Furthermore, the potential application of paper-based RNA isolation, combined with RT-LAMP, was also evaluated for detecting ASGV from field-collected samples. These assays could be widely applied to ASGV detection in field conditions and to virus-free certification programs.

참외 자동 수확을 위한 과일 주요 지점 검출 (Key-point detection of fruit for automatic harvesting of oriental melon)

  • 강승우;윤정훈;정용식;김경철;이대현
    • 드라이브 ㆍ 컨트롤
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    • 제21권2호
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    • pp.65-71
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    • 2024
  • In this study, we suggested a key-point detection method for robot harvesting of oriental melon. Our suggested method could be used to detect the detachment part and major composition of oriental melon. We defined four points (harvesting point, calyx, center, bottom) based on tomato with characteristics similar to those of oriental melon. The evaluation of estimated key-points was conducted by pixel error and PDK (percentage of detected key-point) index. Results showed that the average pixel error was 18.26 ± 16.62 for the x coordinate and 17.74 ± 18.07 for the y coordinate. Considering the resolution of raw images, these pixel errors were not expected to have a serious impact. The PDK score was found to be 89.5% PDK@0.5 on average. It was possible to estimate oriental melon specific key-point. As a result of this research, we believe that the proposed method can contribute to the application of harvesting robot system.

Simultaneous Determination of Flavanone Glycosides in the Fruit of Citrus paradisi and C. grandis by HPLC-PDA

  • Piao, Xiang-Lan;Wu, Qian;Han, Saem;Kim, Hyun-Young;Lee, Sang-Hyun
    • Natural Product Sciences
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    • 제17권4호
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    • pp.337-341
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    • 2011
  • An HPLC (high-performance liquid chromatography)-PDA (photodiode array) detection method was established for the determination of naringin, hesperidin and neohesperidin in the fruit of Citrus paradisi and C. grandis. The flavonoids were separated in less than 20 min using an YMC RP 18 column with isocratic elution using acetonitrile and water (23 : 77, v/v) at a flow rate of 1 ml/min, and a PDA detector. The levels of naringin, hesperidin and neohesperidin were 1345.92, 950.62, and 2078.82 ${\mu}g/g$, respectively, in the peel, and 102.43, 59.13, and 86.68 ${\mu}g/g$, respectively, in the flesh of C. paradisi. In C. grandis, the levels of naringin, hesperidin and neohesperidin were 3530.56, 80.00, and 5.26 ${\mu}g/g$, respectively, in the peel, and 59.59, 7.43, and 38.41 ${\mu}g/g$, respectively, in the flesh. The total content was highest in the peel, reaching 0.44% and 0.36% in C. paradisi and C. grandis, respectively, while the flesh contained only 0.025% and 0.011%, respectively. Therefore, the peels of C. paradisi and C. grandis are necessary for the processing and utilization of flavonoids.

Morphological and molecular analysis of indigenous Myanmar mango (Mangifera indica L.) landraces around Kyaukse district

  • Kyaing, May Sandar;Soe, April Nwet Yee;Myint, Moe Moe;Htway, Honey Thet Paing;Yi, Khin Pyone;Phyo, Seinn Sandar May;Hlaing, Nwe Nwe Soe
    • Journal of Plant Biotechnology
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    • 제46권2호
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    • pp.61-70
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    • 2019
  • There is vast genetic diversity of Myanmar Mangoes. This study mainly focused on indigenous thirteen different mango landraces cultivated in central area of Myanmar, Kyauk-se District and their fruit characteristics by 18 descriptors together with genetic relationship among them by 12 SSR markers. Based on the morpho-physical characters, a wide variation among accessions was found. Genetic characterization of thirteen mango genotypes resulted in the detection of 302 scorable polymorphic bands with an average of 4.33 alleles per locus and an average polymorphism information content (PIC) of 0.7. All the genotypes were grouped into two major clusters by UPGMA cluster analysis and a genetic similarity was observed in a range of 61 ~ 85%. This study may somehow contribute insights into the identification of regional mango diversity in Myanmar and would be useful for future mango breeding program.

Identification of Differentially Up-regulated Genes in Apple with White Rot Disease

  • Kang, Yeo-Jin;Lee, Young Koung;Kim, In-Jung
    • The Plant Pathology Journal
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    • 제35권5호
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    • pp.530-537
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    • 2019
  • Fuji, a major apple cultivar in Korea, is susceptible to white rot. Apple white rot disease appears on the stem and fruit; the development of which deteriorates fruit quality, resulting in decreases in farmers' income. Thus, it is necessary to characterize molecular markers related to apple white rot resistance. In this study, we screened for differentially expressed genes between uninfected apple fruits and those infected with Botryosphaeria dothidea, the fungal pathogen that causes white rot. Antimicrobial tests suggest that a gene expression involved in the synthesis of the substance inhibiting the growth of B. dothidea in apples was induced by pathogen infection. We identified seven transcripts induced by the infection. The seven transcripts were homologous to genes encoding a flavonoid glucosyltransferase, a metallothionein-like protein, a senescence-induced protein, a chitinase, a wound-induced protein, and proteins of unknown function. These genes have functions related to responses to environmental stresses, including pathogen infections. Our results can be useful for the development of molecular markers for early detection of the disease or for use in breeding white rotresistant cultivars.