Plant disease evolution models provide important information to perform risk evaluation. This paper focuses on problems to be faced when including these models into decision support systems at use of producers. The paper presents an on-going project, named PICO, aimed at developing a decision support system for managing plant diseases exploiting Machine Learning Techniques

A Preliminary Approach to the Development of Plant Disease Models exploiting Machine Learning Techniques

Perini, Anna;Susi, Angelo
2002

Abstract

Plant disease evolution models provide important information to perform risk evaluation. This paper focuses on problems to be faced when including these models into decision support systems at use of producers. The paper presents an on-going project, named PICO, aimed at developing a decision support system for managing plant diseases exploiting Machine Learning Techniques
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11582/844
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