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Realizzazione di un sistema informativo per la gestione, con tecniche di Intelligenza Artificiale, delle attività di viti-vinicoltura biologica, al fine di ridurre l’impiego di fitofarmaci in agricoltura.

  • Ente finanziatore: DECA srl
  • Techniche Produttive Difesa e protezione delle piante
  • Data inizio 01/01/2005
  • Data fine 31/12/2007

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della vite al fine di razionalizzare i trattamenti antiparassitari e rendere
più agevole e corretta la difesa fitoiatrica. Ci si prefigge, al termine delle
diverse prove sperimentali, di riuscire ad effettuare una stima precisa del
rischio di infezione, avvalendosi delle tecniche di Intelligenza Artificiale,
in particolare delle Reti Neurali Artificiali (ANN). In viticoltura biologica,
dove è necessario ridurre gli apporti rameici, come stabilito dalla normativa comunitaria,
la razionalizzazione dei trattamenti assume importanza strategica.</span></span><o:p></o:p></span></p> <br /><meta content="text/html; charset=utf-8" http-equiv="Content-Type"></meta><meta content="Word.Document" name="ProgId"></meta><meta content="Microsoft Word 11" name="Generator"></meta><meta content="Microsoft Word 11" name="Originator"></meta><link rel="File-List" href="file:///C:/%5CDOCUME~1%5CMARZAN~1.MIR%5CIMPOST~1%5CTemp%5Cmsohtml1%5C01%5Cclip_filelist.xml"></link><!–[if gte mso 9]><xml>
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<p style="text-align: justify; " class="MsoNormal"><span arial="" narrow";"="" style="font-size: 10pt; "><span style="font-size: x-small; "><span style="font-family: Verdana, Arial, Helvetica; ">Le prove sperimentali hanno previsto la collocazione di centraline meteo,
presso 2 aziende vitivinicole a conduzione biologica, allo scopo di monitorare,
in continuo, diverse variabili metereologiche (precipitazioni, temperatura
dell’aria, umidità del terreno, bagnature fogliari, radiazione solare, umidità
relativa dell’aria, temperatura del suolo, direzione e velocità del vento).
Inoltre, sono stati presi in esame altri parametri quali le caratteristiche del
terreno e delle cultivar, lo stadio fenologico della vite e il potenziale di
inoculo in grado di influenzare lo sviluppo dei patogeni. Avvalendosi di un
sistema di Intelligenza Artificiale (Reti Neurali Artificiali)&nbsp; tutti i parametri in studio (</span><i style="font-family: Verdana, Arial, Helvetica; ">input</i><span style="font-family: Verdana, Arial, Helvetica; ">) sono stati analizzati per
formulare ed individuare in maniera significativa (</span><i style="font-family: Verdana, Arial, Helvetica; ">output</i><span style="font-family: Verdana, Arial, Helvetica; ">) i momenti ottimali in cui effettuare gli interventi
antiperonosporici e antioidici. I risultati ottenuti sono stati oggetto di
studio anche per la costruzione di modelli previsionali in grado di superare i
problemi di sottostima o sovrastima dei modelli previsionali tradizionali. Per
quanto&nbsp;</span></span></span><span style="font-size: x-small; font-family: Verdana, Arial, Helvetica; ">gli attacchi &nbsp;di&nbsp;</span><i style="font-size: x-small; font-family: Verdana, Arial, Helvetica; ">Plasmopara viticola&nbsp;</i><span style="font-size: x-small; font-family: Verdana, Arial, Helvetica; ">e di&nbsp;</span><i style="font-size: x-small; font-family: Verdana, Arial, Helvetica; ">Erysiphe necator&nbsp;</i><span style="font-size: x-small; font-family: Verdana, Arial, Helvetica; ">siano stati di modesta entità, nel corso del biennio di prove, </span><span style="font-size: x-small; font-family: Verdana, Arial, Helvetica; ">,</span><i style="font-size: x-small; font-family: Verdana, Arial, Helvetica; ">&nbsp;</i><span style="font-size: x-small; font-family: Verdana, Arial, Helvetica; ">la
metodologia sperimentale utilizzata ha reso possibile la riduzione del numero dei
trattamenti antiperonosporici ed antioidici con conseguente riduzione dei costi
di gestione aziendale e dell’impatto ambientale. E’ emersa la difficoltà di
costruire modelli previsionali generalizzabili a tutte le tipologie
aziendali, che possono essere diverse per condizioni pedoclimatiche e caratteristiche del vigneto.
L’impiego delle tecniche di Intelligenza Artificiale ha individuato soluzioni specifiche
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<p style="font-family: Verdana, Arial, Helvetica; text-align: justify; " class="MsoBodyText"><span style="font-size: x-small; "><span style="font-size: 10pt; ">G. Spera., A. <st1:personname productid="La Torre" w_st="on">La Torre</st1:personname>,
L. Campoli., R. Bugliosi., M. Scaglione. </span><span lang="EN-GB" style="font-size: 10pt; ">2006.
Development of non linear forecasting model of <i>Plasmopara viticola</i> infections using Artifìcial Neural Networks. 5th
Int. Workshop on Grapevie Downy and Powdery Mildew. S. Michele all’Adige, <st1:country-region w_st="on"><st1:place w_st="on">Italy</st1:place></st1:country-region>, 18-23
June 2006.<o:p></o:p></span></span></p>
<div style="text-align: justify; ">&nbsp;
</div>
<p style="font-family: Verdana, Arial, Helvetica; text-align: justify; " class="MsoBodyText"><span style="font-size: x-small; "><span lang="EN-GB" style="font-size: 10pt; "><o:p>&nbsp;</o:p></span></span></p>
<div style="text-align: justify; ">&nbsp;
</div>
<p style="font-family: Verdana, Arial, Helvetica; text-align: justify; " class="MsoBodyText"><span style="font-size: x-small; "><span style="font-size: 10pt; ">G. Spera., A. <st1:personname productid="La Torre" w_st="on">La Torre</st1:personname>,
R. Bugliosi., L. Campoli., M. Scaglione. </span><span lang="EN-GB" style="font-size: 10pt; ">2006.
Advanced use of Artificial Intelligenc Techniques on viticulture for the
reduction of protection products use. Realization of a forecasting simulation
model for <i>Plasmopara viticola</i>infection. XXIXth World Congress of Vine and Wine- O.I.V. 2006 <st1:country-region w_st="on"><st1:place w_st="on">Spain</st1:place></st1:country-region>, Logroño
25-30 June.<o:p></o:p></span></span></p>
<div style="text-align: justify; ">&nbsp;
</div>
<p style="font-family: Verdana, Arial, Helvetica; text-align: justify; " class="MsoBodyText"><span style="font-size: x-small; "><span lang="EN-GB" style="font-size: 10pt; "><o:p>&nbsp;</o:p></span></span></p>
<div style="text-align: justify; ">&nbsp;
</div>
<p style="font-family: Verdana, Arial, Helvetica; text-align: justify; " class="MsoBodyText"><span style="font-size: x-small; "><span style="font-size: 10pt; ">Spera G., Anna <st1:personname productid="La Torre" w_st="on">La Torre</st1:personname>, Bugliosi R., Gianferro M., 2007. </span><span lang="EN-GB" style="font-size: 10pt; ">Rationalization of
pesticide treatments against Powdery Mildew of grape. </span><span style="font-size: 10pt; ">Comm. Appl. Biol. Sci.
Ghent University, 72/2:315- 319.<o:p></o:p></span></span></p>
<div style="text-align: justify; ">&nbsp;
</div>
<p style="font-family: Verdana, Arial, Helvetica; text-align: justify; " class="MsoBodyText"><span style="font-size: x-small; "><span style="font-size: 10pt; "><o:p>&nbsp;</o:p></span></span></p>
<div style="text-align: justify; ">&nbsp;
</div>
<p style="font-family: Verdana, Arial, Helvetica; text-align: justify; " class="MsoBodyText"><span style="font-size: x-small; "><span style="font-size: 10pt; ">G. Spera, R. Bugliosi, Anna <st1:personname productid="La Torre" w_st="on">La
Torre</st1:personname>, L. Campoli, Marika Gianferro, 2007. </span><span lang="EN-GB" style="font-size: 10pt; ">Results of a two years trials of a new forecasting model for <i>Plasmopara viticola</i> infection realized
with an Artificial Neural Network. </span><span style="font-size: 10pt; ">XVth International Symposium GESCO 2007
Croatia, Porec 20-23 June 2007, 1115-1123.<o:p></o:p></span></span></p>
<div style="text-align: justify; ">&nbsp;
</div>
<p style="font-family: Verdana, Arial, Helvetica; text-align: justify; " class="MsoBodyText"><span style="font-size: x-small; "><span style="font-size: 10pt; "><o:p>&nbsp;</o:p></span></span></p>
<div style="text-align: justify; "> <!–[if supportFields]><span
style='font-size:10.0pt;mso-bidi-font-size:12.0pt;font-family:"Arial Narrow";
mso-fareast-font-family:"Times New Roman";mso-bidi-font-family:Arial;
mso-ansi-language:IT;mso-fareast-language:EN-US;mso-bidi-language:AR-SA;
mso-bidi-font-weight:bold'><span style='mso-element:field-begin'></span><span
style='mso-spacerun:yes'> </span>SEQ CHAPTER h r 1</span><![endif]–><!–[if supportFields]><span
style='font-size:10.0pt;mso-bidi-font-size:12.0pt;font-family:"Arial Narrow";
mso-fareast-font-family:"Times New Roman";mso-bidi-font-family:Arial;
mso-ansi-language:IT;mso-fareast-language:EN-US;mso-bidi-language:AR-SA;
mso-bidi-font-weight:bold'><span style='mso-element:field-end'></span></span><![endif]–><span style="font-size: x-small; "><span style="font-size: 10pt; font-family: Verdana, Arial, Helvetica; ">A. <st1:personname productid="La Torre" w_st="on">La
Torre</st1:personname>, M. Gianferro, G. Spera, 2008. Optimization of plant protection products treatments
against <i>Plasmopara viticola</i>. 60th International Symposium on Crop Protection – Ghent
University, 20 Maggio 2008.</span></span>
</div> <br /> <br /><br />

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