3001 1 archive 596 disk0/00/00/30/01 2004-07-14 2009-08-20 14:23:25 2009-08-20 14:23:25 bookchapter show 0 en perennial-crop-production yes 0 http://www.fibl.org/forschung/anbautechnik-mehrjaehrig/index.php FALSE Sadikov Aleksander Kononenko Igor Weibel Franco pub 7fruit Bioobstbau, Innere Qualität, comparison organic and conventional fruit, food quality We implemented a system GDV Assistant (Gas Discharge Visualisation Technique) for parameterization and visualization of coronas of humans and plants. Besides standard parameters, developed by the team of Prof. Korotkov, the program includes some additional numerical parameters. In last few years in several studies we recorded coronas of apple tree leaves and fruits in order to verify and compare their vitality under different conditions. We used GDV Assistant for preprocessing and for numerical parameterization of coronas and we used various machine learning algorithms for analyzing the databases of parameterized corona pictures. The results of our studies show that coronas of leaves and fruits give useful information about the stress status of plants and about the variety. However, we were not able to differentiate between organically and conventionally grown fruit, which were similar in their standard quality parameters such as fruit flesh firmness and sugar content. 2004 published Measuring Energy Fields: State of the Science Backbone Publishing Korotkov K. Hu, M.K. (1962) Visual Pattern Recognition by Moment Invariants, IEEE Tr. on Information Theory, Vol. IT-8, pp. 179-187. Korotkov, K. (1998) Aura and Consciousness, St.Petersburg, Russia: State Editing & Publishing Unit “Kultura”. Korotkov, K., Korotkin, D. (2001) Concentration dependence of gas discharge around drops of inorganic electrolytes, Journal of Applied Physics, Vol. 89, pp. 4732-4736. Quinlan, J.R. (1993) C4.5 Programs for Machine Learning, Morgan Kaufmann. Skoèaj, D., Kononenko, I., Tomažiè, I., Korošec-Koruza, Z. (2000) Classification of grapevine cultivars using Kirlian camera and machine learning. Res. Rep. Biot. fac. UL - Agriculture – ISSN 1408-340X, 75(1)133-138. Sadikov, A. (2002) Computer visualization, parametrization and analysis of images of electrical gas discharge (in Slovene), M.Sc. Thesis, University of Ljubljana, Faculty of Computer and Information Science. Mitchell, T. (1997) Machine Learning, McGraw Hill. Robnik-Šikonja, M. (1997) CORE - a system that predicts continuous variables, Proceedings of ERK'97, Portorož, Slovenia. Kononenko, I. (1994) Estimating attributes: Analysis and extensions of RELIEF, In: F.Bergadano, L.de Readt (eds.) Proc. Machine learning: ECML-94 / European conference on machine learning (Catania, Italy, April 1994), Springer Verlag, pp.171-182. Zupan, B., Bohanec, M., Demšar, J., Bratko, I. (1999) Learning by discovering concept hierarchies, Artificial Intelligence, Vol. 109, pp. 211-242, Elsevier Science B.V. Demšar, J., Zupan, B. (2003) Orange: machine learning library in Python, http://magix.fri.uni-lj.si Weibel, F.P. (2001) Internal FiBL Report. restricted 3185 1 3001 1 application/pdf de staffonly

sadikov-et-al-2004-analyzing_coronas_of_fruits_and_leaves.pdf

sadikov-et-al-2004-analyzing_coronas_of_fruits_and_leaves.pdf 389420 http://orgprints.org/3001/1/sadikov-et-al-2004-analyzing_coronas_of_fruits_and_leaves.pdf