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Cereal Research Communications
Authors: E. Firatligil-Durmuş, A. Sýkorová, E. Šárka, Z. Bubník, M. Schejbal, and J. Příhoda

56 Tahir, A.R., Neethirajan, S., Jayas, D.S., Shahin, M.A., Symons, S.J., White, N.D.G. 2007. Evaluation of the effect of moisture content on cereal grains by digital image analysis. Food

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. Cherian , C. , Arnepalli , D. N. Dogga , T. S. S. , Raviteja , N. B. , Gorle , S. V. & Balraj , N. M. 2014 . Assessment of grain-size and pore-size distribution using digital image analysis . Proceedings of Indian

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Abstract  

This paper presents a method for the energy analysis of alpha-particles emitted by transuranic elements via a novel technique using Nuclear Tracks. The method is based on the relationship between the energy deposited in the detection material and the diameter of the track, that is formed by chemical etching. The method involves CR-39 polycarbonate as the detector material, one-step chemical etching after irradiation, and a digital image analysis system for automatic reading of the track diameters. The experimental study included alpha-particles in the energy range 5.1 MeV to 5.8 MeV emitted by239Pu,241Am and244Cm. The quantitative results provide a clear signature to identify each one of the emitters based on a characteristic track diameter.

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Abstract  

This work presents an alternative method to map the distribution of transuranic elements, which is characterized by its simplicity in both implementation and instrumentation. The method is based on the interaction of alpha particles in polymeric materials and the formation of tracks, which become visible after chemical etching. Nuclear track detectors are placed on the soil in order to evaluate the distribution of the radioactive material and its relative intensity for transuranic contaminants. CR-39 polycarbonate was used as a nuclear track detector in this study. Chemical etching was done with a 6.25M KOH solution in a closed system for 16 hours. The readings were performed in an automatic system using digital image analysis. The results show the distribution of the contaminants and their location, identifying the zones with large intensities. This method is attractive for use in areas contaminated with alpha particles, and specially transuranic elements, because it involves in situ measurements, generates very low amounts of radioactive waste, and the detectors are easily handled.

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.M. , Radwan , S. , ElAmir , M. , ElGamal , R. ( 2009 ) Investigating the effect of moisture content on some properties of peanut by aid of digital image analysis . Food and Bioproducts Processing . 87 ( 4 ), 273 – 281

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180 O'Neal, M., Landis, D. A. and Isaacs, R. (2002): An inexpensive, accurate method for measuring leaf area and defoliation through digital image analysis. J. Econ. Entomol. 95, 1190

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Richards, J. A. and X. Jia. 1999. Remote Sensing Digital Image Analysis , 3 rd edition. Springer-Verlag, Berlin. Remote Sensing Digital Image Analysis

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, Z. , Mujeeb-Kazi , A. , He , Z. 2014 . Genome-wide association for grain morphology in synthetic hexaploid wheats using digital imaging analysis . BMC Plant Biol. 14 : 128 – 149

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129 141 Richards, J. A. 1993. Remote Sensing Digital Image Analysis. An Introduction. Springer, Berlin. Remote Sensing Digital Image

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York. Biology of Plants. Richards, J.A. 1993. Remote Sensing Digital Image Analysis: An Introduction. 2nd ed. Springer-Verlag. New

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