Please use this identifier to cite or link to this item:
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1179140Full metadata record
| DC Field | Value | Language |
|---|---|---|
| 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. | |
| Appears in Collections: | Artigo em periódico indexado (CNPDIA)  | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| P-A-Cloud-Based-Intelligence-System-for-Asian-Rust-Risk-Analysis.pdf | 80,33 MB | Adobe PDF |  View/Open |
