Lacrajnan - Varghese - Studia Universitatis Vasile Goldis, Seria ...

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Suhartono et al. Fig. 5 First 12500 iterations we get the following error List. 2 The code of the results for the testing at stalk The output of the artificial neural networks is then compared to the actual data of plant growth in the field. From this figure 6, it can be seen that the difference between artificial neural networks output and the actual plant growth is less than 6% on average. Fig. 6 The comparison of simulation and actual output. 416 Studia Universitatis “Vasile Goldiş”, Seria Ştiinţele Vieţii Vol. 22, issue 3, 2012, pp. 411-418 © 2012 Vasile Goldis University Press (www.studiauniversitatis.ro)
Integration of artificial neural networks into an lindenmayer system based plant modeling environment with mathematica Based on the output of the artificial neural networks, method of the artificial neural networks. In order to it can be derived the growth parameter. It is then applied visualize the plant, the virtual growth of Zinnia Elegane to the plant, in such a way that it is possible to get the crop th Jacq with the 5 treatment (75% inorganic and organic as expected. Once the stalk growth is obtained, then the fertilizer is 100%) is shown in figure 7. leaf and bloom growth need to be found using the similar Fig. 8 Growth processes of Zinnia Elegane Jacq plant of Iteration 7 CONCLUSION REFERENCES This research shows that the Integration of the Lindenmayer, P. Prusinkiewicz. The Algorithmic Beauty artificial neural networks into L-system based Plant of Plants, Springer Verlag, New York, pp. 227, modeling Environment has been implemented. In this 1990. research, it can be demonstrated that the difference Jacob, C., Genetic L-System Programming: Breeding and between the artificial neural networks output and the Evolving Artificial Flowers with Mathematica, actual plant growth is less than 6% on average. It is First Int. Mathematica Symposium, Southampton, concluded from this research that the agriculture of Zinnia UK, Computational Mechanics Pub, 1995 Elegane Jacq plant could be develop further with the R. Mech, P. Prusinkiewicz. Visual Models of Plants artificial neural networks, which both controlled Interacting with Their Environment, Proceedings environment and controlled mixture of fertilizer are used of SIGGRAPH 96, ACM SIGGRAPH, p. 397, as decision support system. 1996. Studia Universitatis “Vasile Goldiş”, Seria Ştiinţele Vieţii Vol. 22, issue 3, 2012, pp. 411-418 © 2012 Vasile Goldis University Press (www.studiauniversitatis.ro) 417
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