Mining climate and remote sensing time series to improve monitoring of sugar cane fields (2011)
- Authors:
- Romani, Luciana Alvim Santos - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
- Sousa, Elaine Parros Machado de
- Ribeiro, Marcela Xavier - Universidade Federal de São Carlos (UFSCar)
- Avila, Ana Maria Heuminski de - Universidade Estadual de Campinas (UNICAMP)
- Zullo Junior, Jurandir - Universidade Estadual de Campinas (UNICAMP)
- Traina Junior, Caetano
- Traina, Agma Juci Machado
- USP affiliated authors: SOUSA, ELAINE PARROS MACHADO DE - ICMC ; TRAINA JUNIOR, CAETANO - ICMC ; TRAINA, AGMA JUCI MACHADO - ICMC
- Unidade: ICMC
- Subjects: BANCO DE DADOS; COMPUTAÇÃO GRÁFICA; PROCESSAMENTO DE IMAGENS
- Language: Inglês
- Imprenta:
- Publisher: IGI-Global
- Publisher place: Hershey
- Date published: 2011
- ISBN: 9781616928711
- Source:
- Título do periódico: Computational methods for agricultural research : advances and applications
- Volume/Número/Paginação/Ano: 524 p.
-
ABNT
ROMANI, Luciana Alvim Santos et al. Mining climate and remote sensing time series to improve monitoring of sugar cane fields. Computational methods for agricultural research : advances and applications. Tradução . Hershey: IGI-Global, 2011. p. 524 . . Acesso em: 19 set. 2024. -
APA
Romani, L. A. S., Sousa, E. P. M. de, Ribeiro, M. X., Avila, A. M. H. de, Zullo Junior, J., Traina Junior, C., & Traina, A. J. M. (2011). Mining climate and remote sensing time series to improve monitoring of sugar cane fields. In Computational methods for agricultural research : advances and applications (p. 524 ). Hershey: IGI-Global. -
NLM
Romani LAS, Sousa EPM de, Ribeiro MX, Avila AMH de, Zullo Junior J, Traina Junior C, Traina AJM. Mining climate and remote sensing time series to improve monitoring of sugar cane fields. In: Computational methods for agricultural research : advances and applications. Hershey: IGI-Global; 2011. p. 524 .[citado 2024 set. 19 ] -
Vancouver
Romani LAS, Sousa EPM de, Ribeiro MX, Avila AMH de, Zullo Junior J, Traina Junior C, Traina AJM. Mining climate and remote sensing time series to improve monitoring of sugar cane fields. In: Computational methods for agricultural research : advances and applications. Hershey: IGI-Global; 2011. p. 524 .[citado 2024 set. 19 ] - ClimFractal Analyser: um ambiente de análise de séries temporais climáticas baseado em workflows
- Using fractals in data mining
- SID: calculating the intrinsic dimension of data streams
- Computational framework to analyze agrometeorological, climate and remote sensing data: challenges and perspectives
- Aplicação de método baseado em fractais para detecção de correlações entre imagens AVHRR-NOAA e dados agroclimáticos em regiões produtoras de cana-de-açúcar
- Employing fractal dimension to analyse climate and remote sensing data streams
- Tracking the intrinsic dimension of evolving data streams to update association rules
- Clustering analysis applied to NDVI/NOAA multitemporal images to improve the monitoring process of sugarcane crops
- Fractal-based analysis to identify trend changes in multiple climate time series
- Measuring evolving data streams' behavior through their intrinsic dimension
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