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http://www.alice.cnptia.embrapa.br/alice/handle/doc/1179140Registro completo de metadatos
| Campo DC | Valor | Lengua/Idioma |
|---|---|---|
| dc.contributor.author | NEVES, R. A. | |
| dc.contributor.author | CRUVINEL, P. E. | |
| dc.date.accessioned | 2025-09-26T18:48:44Z | - |
| dc.date.available | 2025-09-26T18:48:44Z | - |
| dc.date.created | 2025-09-26 | |
| dc.date.issued | 2025 | |
| dc.identifier.citation | AgriEngineering, v. 7, 236, 2025. | |
| dc.identifier.uri | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1179140 | - |
| dc.description | This study presents an intelligent method for evaluating the risk of Asian rust (Phakopsora pachyrhizi) based on its development stage in soybean crops (Glycine max (L.) Merrill). It has been designed using smart computer systems supported by image processing, environmental sensor data, and an embedded model for evaluating favorable conditions for disease progression within crop areas. The approach also includes the use of machine learning techniques and a Markov chain algorithm for data fusion, aimed at supporting decision-making in agricultural management. Rules derived from time-series data are employed to enable scenario prediction for risk evaluation related to disease development. Measured data are stored in a customized system designed to support virtual monitoring, facilitating the evaluation of disease severity stages by farmers and enabling timely management actions. | |
| dc.language.iso | eng | |
| dc.rights | openAccess | |
| dc.subject | Asian soybean rust | |
| dc.subject | Machine learning | |
| dc.subject | Pattern recognition | |
| dc.subject | Cloud | |
| dc.subject | Big data | |
| dc.title | A cloud-based intelligence system for Asian rust risk analysis in soybean crops. | |
| dc.type | Artigo de periódico | |
| dc.format.extent2 | 42 p. | |
| riaa.ainfo.id | 1179140 | |
| riaa.ainfo.lastupdate | 2025-09-26 | |
| dc.contributor.institution | FEDERAL UNIVERSITY OF SAO CARLOS; PAULO ESTEVAO CRUVINEL, CNPDIA. | |
| Aparece en las colecciones: | Artigo em periódico indexado (CNPDIA)  | |
Ficheros en este ítem:
| Fichero | Descripción | Tamaño | Formato | |
|---|---|---|---|---|
| P-A-Cloud-Based-Intelligence-System-for-Asian-Rust-Risk-Analysis.pdf | 80.33 MB | Adobe PDF |  Visualizar/Abrir |
