Expert System for Crop Disease based on Graph Pattern Matching: A proposal
| Autor: | Emmanuel Lasso Sambony, Juan Carlos Corrales |
|---|---|
| Jazyk: | English<br />Spanish; Castilian<br />Portuguese |
| Rok vydání: | 2016 |
| Předmět: | |
| Zdroj: | Revista Ingenierías Universidad de Medellín, Vol 15, Iss 29, Pp 81-98 (2016) |
| Druh dokumentu: | article |
| ISSN: | 1692-3324 2248-4094 68643799 |
| DOI: | 10.22395/rium.v15n29a5 |
| Popis: | For agroindustry, crop diseases constitute one of the most common problems that generate large economic losses and low production quality. On the other hand, from computer science, several tools have emerged in order to improve the prevention and treatment of these diseases. In this sense, recent research proposes the development of expert systems to solve this problem, making use of data mining and artificial intelligence techniques like rule-based inference, decision trees, Bayesian network, among others. Furthermore, graphs can be used for storage of different types of variables that are present in an environment of crops, allowing the application of graph data mining techniques like graph pattern matching. Therefore, in this paper we present an overview of the above issues and a proposal of an expert system for crop disease based on graph pattern matching. |
| Databáze: | Directory of Open Access Journals |
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