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Libro de Resúmenes / Book of Abstracts (Español/English)

Libro de Resúmenes / Book of Abstracts (Español/English)

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Resumenes 58<br />

sufficiently fast, in accordance to a survey <strong>of</strong> “Fundo <strong>de</strong> Defesa da<br />

Citricultura (Fun<strong>de</strong>citrus – Araraquara/SP)”.<br />

The first signal that can be noticed in the plants are pale green<br />

foliage, a generalized loss <strong>of</strong> the brightness <strong>of</strong> leaves, followed by fast<br />

falling, with few internal sprouting. The sick plants have a great amount <strong>of</strong><br />

rotten and <strong>de</strong>ad roots. In the final stage <strong>of</strong> the disease, all the leaves fall<br />

and the tree dies. The yelow aspect observed at the stalk <strong>of</strong> the grafting is<br />

the main diagnostic signal <strong>of</strong> CSD.<br />

Researchers <strong>of</strong> the Alellyx Genomics (Campinas/SP) have discovered<br />

two insects known as aphids that transmit the virus suspected to be the<br />

responsible for the CSD. Thus, we have assumed that the intensity <strong>of</strong> the<br />

winds, v, influences the transmission force <strong>of</strong> the disease. The dispersion <strong>of</strong><br />

the vector, r, is proportional to the intensity <strong>of</strong> the winds. Since the<br />

information obtained for v and r is <strong>of</strong> the linguistic type, for example, low,<br />

average, high, amongst others, we opted for the rule-based fuzzy system to<br />

establish the relation between v e r by means <strong>of</strong> a base <strong>of</strong> fuzzy rules.<br />

In this work, we have adopted the Cellular Automata mo<strong>de</strong>l (CA) to<br />

study the advance <strong>of</strong> the disease. The CA is represented spacially by a grate<br />

<strong>of</strong> cells (unit <strong>of</strong> plant) that interacts by obeying some rules <strong>of</strong> state change:<br />

symptomatic and non symptomatic.<br />

Simulations were done and compared with real data. Through the<br />

use <strong>of</strong> the method MAE (Mean Absolute Error), it was possible to verify a<br />

concordance <strong>of</strong> 70% between real and our mo<strong>de</strong>l data.

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