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ESANN
2001

Applications of neuro-fuzzy classification, evaluation and forecasting techniques in agriculture

9 years 20 days ago
Applications of neuro-fuzzy classification, evaluation and forecasting techniques in agriculture
Aim of the present article is to show the results obtained from the application of neuro-fuzzy methodology in the solution of agriculture problems like the Bactrocera Oleae (olive fly) infestation in the Liguria region olive grows. The research is focused to create an informatic decisional instrument to support experts in the applications of Integrated Pest Management strategies against the Bactrocera Oleae infestation. The system will suggest types of treatments for each monitored farm in order to optimize the quality of the olive oil and improve the economic and environmental impact of these treatments. Statistical and forecast analyses on data sets referred to agronomic case studies, like the growth of olive fly, are actually made using standard and model approaches like analytical; these dates instead present characteristics (big variability and non-linearity) which make them complex to be treat mathematically. Agronomic research needs to introduce new analysis techniques of taken...
Elena Bellei, Diego Guidotti, Ruggero Petacchi, Le
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2001
Where ESANN
Authors Elena Bellei, Diego Guidotti, Ruggero Petacchi, Leonardo Maria Reyneri, Italo Rizzi
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