A data-driven method for water quality analysis and prediction for localized irrigation (2024)
- Authors:
- USP affiliated authors: SILVA, ROBERTO FRAY DA - ESALQ ; MENDONÇA, FERNANDO CAMPOS - ESALQ ; MARQUES, PATRICIA ANGÉLICA ALVES - ESALQ ; DUARTE, SERGIO NASCIMENTO - ESALQ ; MENDIONDO, EDUARDO MARIO - EESC ; DELBEM, ALEXANDRE CLÁUDIO BOTAZZO - ICMC ; SARAIVA, ANTONIO MAURO - EP ; BENSO, MARCOS ROBERTO - EESC ; CORRÊA, FERNANDO ELIAS - IEA
- Unidades: ESALQ; EESC; ICMC; EP; IEA
- DOI: 10.3390/agriengineering6020103
- Subjects: APRENDIZADO COMPUTACIONAL; ESTUDO DE CASO; IRRIGAÇÃO; QUALIDADE DA ÁGUA
- Keywords: clustering; data-driven methodology; unsupervised learning; water monitoring
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: AgriEngineering
- ISSN: 2624-7402
- Volume/Número/Paginação/Ano: v. 6, n. 2, p. 1771-1793, 2024
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
- Licença: cc-by
-
ABNT
SILVA, Roberto Fray da et al. A data-driven method for water quality analysis and prediction for localized irrigation. AgriEngineering, v. 6, n. 2, p. 1771-1793, 2024Tradução . . Disponível em: https://doi.org/10.3390/agriengineering6020103. Acesso em: 27 dez. 2025. -
APA
Silva, R. F. da, Benso, M. R., Correa, F. E., Messias, T. G., Mendonça, F. C., Marques, P. A. A., et al. (2024). A data-driven method for water quality analysis and prediction for localized irrigation. AgriEngineering, 6( 2), 1771-1793. doi:10.3390/agriengineering6020103 -
NLM
Silva RF da, Benso MR, Correa FE, Messias TG, Mendonça FC, Marques PAA, Duarte SN, Mendiondo EM, Delbem ACB, Saraiva AM. A data-driven method for water quality analysis and prediction for localized irrigation [Internet]. AgriEngineering. 2024 ; 6( 2): 1771-1793.[citado 2025 dez. 27 ] Available from: https://doi.org/10.3390/agriengineering6020103 -
Vancouver
Silva RF da, Benso MR, Correa FE, Messias TG, Mendonça FC, Marques PAA, Duarte SN, Mendiondo EM, Delbem ACB, Saraiva AM. A data-driven method for water quality analysis and prediction for localized irrigation [Internet]. AgriEngineering. 2024 ; 6( 2): 1771-1793.[citado 2025 dez. 27 ] Available from: https://doi.org/10.3390/agriengineering6020103 - Multi-objective methods for crop insurance premiums: framework proposal and a case study in sugarcane
- A data-driven framework for assessing climatic impact drivers in the context of food security
- A data-driven framework for identifying productivity zones and the impact of agricultural droughts in sugarcane using SPI and unsupervised learning
- Automatic spatial rainfall estimation on limited coverage areas
- Long term consequences of climate shocks on crop insurance in BraziL
- A theoretical framework for multi-Hazard risk mapping on agricultural areas considering artificial intelligence, IoT, and climate change scenarios
- Building a community-based FAIR metadata schema for Brazilian agriculture and livestock trading data
- Urban ecohydrology under socioeconomic scenarios: the protagonism of nature-based solutions in a changing future
- Identification of risk areas using spatial clustering to improve dengue monitoring in urban environments
- Agricultura Digital
Informações sobre o DOI: 10.3390/agriengineering6020103 (Fonte: oaDOI API)
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
| 3202722.pdf | Direct link |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
