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Use of the ImageJ Program to Assess the Damage of Plants By Snails Cover

Use of the ImageJ Program to Assess the Damage of Plants By Snails

Chemistry-Didactics-Ecology-Metrology
Volume 20 (2015): Issue 1-2 (December 2015)
By: Michał Stawarczyk and  Kinga Stawarczyk  
Open Access
|Jan 2016

References

  1. [1] Glasbey CA, Horgan GW. Image analysis in agricultural research. Quant Approach Syst Anal. 2001;23:43-54. http://www.bioss.ac.uk/people/chris/wageningen.pdf.10.1002/9780470057339.vai001
    Search in Google Scholar
  2. [2] Zieliński KW. Komputerowa analiza obrazu biomedycznego, Wstęp do morfometrii i patologii ilościowej. (Computer biomedical image analysis, Introduction to quantitative morphometry and pathology). Warszawa: Wyd Nauk PWN; 2013.
    Search in Google Scholar
  3. [3] Kozłowski RJ, Górski R, Kozłowska M. Metody analizy obrazu w badaniu krzywej wzrostu grzyba Trichoderma harzianum występującego w uprawie pieczarki dwuzarodnikowej Agaricus Bisporus (Lange/Imbach). (Image processing methods in studies of growth model of the fungus Trichoderma harzianum found in button mushroom Agaricus Bisporus (Lange/Imbach) cultivation). Prog Plant Prot./Post Ochr Roślin. 2009;49(3):1285-1290.
    Search in Google Scholar
  4. [4] Kozłowski RJ, Kozłowski J. The computer system for the analysis of damages on oilseed rape leaves. J Res Appl Agric Eng. 2008;53(2):61-65. http://www.pimr.poznan.pl/biul/2008_2_KK.pdf.
    Search in Google Scholar
  5. [5] Stien LH, Suontama J, Kiessling A. Image analysis as a tool to quantify rigor contraction in pre-rigor-filleted fillets. Compt Electron Agr. 2006;50:109-120. DOI: 10.1016/j.compag.2005.08.012.10.1016/j.compag.2005.08.012
    Search in Google Scholar
  6. [6] Kalbassi MR, Lorestani R, Ghafle Maramazi J. Analysis of saline activator solution effects on sperm quality indices of Barbus sharpeyi by ImageJ software. Iran J Fish Sci. 2013;12(2):357-377. http://www.jifro.ir/files/site1/user_files_eb12be/eng/kalbasi-A-10-165-2-ea01964.pdf.
    Search in Google Scholar
  7. [7] Last AJ, Parkin CS, Beresford RH. Low-cost digital image analysis for the evaluation of aerially applied pesticide deposits. Compt Electron Agr. 1987;1(4):349-362. DOI: 10.1016/0168-1699(87)90005-6.10.1016/0168-1699(87)90005-6
    Search in Google Scholar
  8. [8] Tukiendorf M, Szwedziak K, Sobkowicz J. Określenie czystości ziarna konsumpcyjnego za pomocą komputerowej analizy obrazu. (Determining the purity of consumer seed with the help of computer analysis of the image). Inż Roln. 2006;12(87):519-525. http://ir.ptir.org/artykuly/pl/87/IR%2887%29_406_pl.pdf.
    Search in Google Scholar
  9. [9] Mollaha BR, Hasanb A, Salamc A, Ali A. Digital image analysis to estimate the live weight of broiler. Compt Electron Agr. 2010;72:48-52. DOI: 10.1016/j.compag.2010.02.002.10.1016/j.compag.2010.02.002
    Search in Google Scholar
  10. [10] Rodríguez-Pulido FJ, Gómez-Robledo L, Melgosa M, Gordillo B, González-Miret ML, Heredia FJ. Ripeness estimation of grape berries and seeds by image analysis. Compt Electron Agr. 2012;82:128-133. DOI: 10.1016/j.compag.2012.01.004.10.1016/j.compag.2012.01.004
    Search in Google Scholar
  11. [11] Čermák P, Mazal P, Palovčíková D, Jankovský L. Application of image analysis in plant pathology and forest protection. J For Sci. 2006;52(7):316-323. http://www.agriculturejournals.cz/publicFiles/55117.pdf.10.17221/4513-JFS
    Search in Google Scholar
  12. [12] ImageJ (Official Website) - http://imagej.nih.gov.
    Search in Google Scholar
  13. [13] Koh K-J, Park N-H, Kim K-A. Prediction of age-related osteoporosis using fractal analysis on panoramic radiographs. Imaging Sci Dent. 2012;42(4):231-235. DOI: 10.5624/isd.2012.42.4.231.10.5624/isd.2012.42.4.231353417723301209
    Search in Google Scholar
  14. [14] Abramoff MD, Magalhaes PJ, Ram SJ. Image processing with Image J. Biophotonics Internat. 2004;11(7):36-42. http://www.imagescience.org/meijering/publications/download/bio2004.pdf.
    Search in Google Scholar
  15. [15] De Oliveira AG, Consolaro A, Junqueira JLC, Martins-Ortiz MF, Franzolin SOB. Analysis of predictors of root resorption in the orthodontic treatment (Part II). J Dent Oral Hyg. 2011;3(6):75-81. http://www.academicjournals.org/journal/JDOH/article-full-text-pdf/B884F6E5014.10.5897/JDOH2011.000-3150
    Search in Google Scholar
  16. [16] Choi YS, Park JK, Kang EH, Lee Y-K, Kim TK, Chung JH, et al. Cytokine signaling-1 suppressor is inducible by IL-1beta and inhibits the catabolic effects of IL-1beta in chondrocytes: its implication in the paradoxical joint-protective role of IL-1beta. Arthritis Res Ther. 2013;15:R191. DOI: 10.1186/ar4381.10.1186/ar4381397911024238405
    Search in Google Scholar
  17. [17] Demmerle J, Koch AJ, Holaska JM. The nuclear envelope protein emerin binds directly to histone deacetylase 3 (HDAC3) and activates HDAC3 activity. J Biol Chem. 2012;287:22080-22088. DOI: 10.1074/jbc.M111.325308.10.1074/jbc.M111.325308338116622570481
    Search in Google Scholar
  18. [18] Xu Y-Z, de la Rosa Santamaria R, Virdi KS, Arrieta-Montiel MP, Razvi F, Li S, et al. The chloroplast triggers developmental reprogramming when MUTS HOMOLOG1 is suppressed in plants. Plant Physiol. 2012;159:710-720. DOI: 10.1104/pp.112.196055.10.1104/pp.112.196055337593622496509
    Search in Google Scholar
  19. [19] Zhang J-Q, Shen M, Zhu Ch-Ch, Yu F-X, Liu Z-Q, Ally N, et al. 3-Nitropropionic acid induces ovarian oxidative stress and impairs follicle in mouse. PLoS One. 2014;9(2):e86589. DOI: 10.1371/journal.pone.0086589.10.1371/journal.pone.0086589391479724505260
    Search in Google Scholar
  20. [20] Raub ChB, Unruh J, Suresh V, Krasieva T, Lindmo T, Gratton E, et al. Image correlation spectroscopy of multiphoton images correlates with collagen mechanical properties. Biophys J. 2008;94:2361-2373. DOI: 10.1529/biophysj.107.120006.10.1529/biophysj.107.120006225790918065452
    Search in Google Scholar
  21. [21] Sanger TJ, Sherratt E, McGlothlin JW, Brodie ED, Losos JB, Abzhanov A. Convergent evolution of sexual dimorphism in skull shape using distinct developmental strategies. Evolution. 2013;67(8):2180-2193. DOI: 10.1111/evo.12100.10.1111/evo.1210023888844
    Search in Google Scholar
  22. [22] Hindman BW, Gizon L, Duvall TL, Haber DA, Toomre J. Comparison of solar subsurface flowers assessed by ring and time-distance analyses. Astrophys J. 2004;613:1253-1262. http://www2.mps.mpg.de/homes/gizon/PAPERS/apj_613_1253.pdf.10.1086/423263
    Search in Google Scholar
  23. [23] Anjali A, Aggarwal H. BMP to JPEG - the conversion process. J Global Res Comp Sci. 2011;6(2):145-150. http://www.jgrcs.info/index.php/jgrcs/article/view/74/74.
    Search in Google Scholar
  24. [24] Idaszewska N, Bieńczak K. Koncepcja transport sałaty na duże odległości w stanie świeżym. (The conception of fresh lettuce transport for long distance). J Res Appl Agric Eng. 2013;58(2):52-54. http://www.pimr.poznan.pl/biul/2013_2_11IB.pdf.
    Search in Google Scholar
DOI: https://doi.org/10.1515/cdem-2015-0007 | Journal eISSN: 2084-4506 | Journal ISSN: 1640-9019
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Language: English
Page range: 67 - 73
Published on: Jan 26, 2016
Published by: Society of Ecological Chemistry and Engineering
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
ImageJ,
snail,
slug,
damage to plants,
graphical analysis,
image analysis,
assessment of impairment
Related subjects:
Chemistry,
Chemistry, other

© 2016 Michał Stawarczyk, Kinga Stawarczyk, published by Society of Ecological Chemistry and Engineering
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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