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 | Acesso ao texto completo restrito à biblioteca da Embrapa Agricultura Digital. Para informações adicionais entre em contato com cnptia.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital; Embrapa Unidades Centrais. |
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Data corrente: |
19/01/2026 |
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Data da última atualização: |
21/01/2026 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
SILVA, T. L. da; ROMANI, L. A. S.; MASSRUHA, S. M. F. S. |
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Afiliação: |
TAMIRES LIMA DA SILVA; LUCIANA ALVIM SANTOS ROMANI, CNPTIA; SILVIA MARIA FONSECA SILVEIRA MASSRUHA, PR. |
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Título: |
Elevation-based clustering and spatiotemporal analysis of coffee crop agro-environmental dynamics. |
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Ano de publicação: |
2025 |
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Fonte/Imprenta: |
In: INTERNATIONAL CONFERENCE ON MACHINE INTELLIGENCE FOR GEOANALYTICS AND REMOTE SENSING, 2025, Bucharest. Proceedings [...]. Piscataway: IEEE, 2025. p. 119-122. |
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DOI: |
https://doi.org/10.1109/MIGARS67156.2025.11232065 |
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Idioma: |
Inglês |
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Notas: |
MIGARS 2025. |
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Conteúdo: |
Abstract— Agricultural monitoring via remote sensing offers key insights into crop dynamics. This study analyzed the influence of elevation on the agro-environmental dynamics of coffee crops in Caconde, São Paulo, Brazil, from 2013 to 2023. K-means clustering identified two elevation groups: lowland (up to 1,017.91 meters) and highland (1,018 meters and above). Statistical analyses revealed significant differences in the normalized difference vegetation index (NDVI), root-zone soil moisture, temperature, and evapotranspiration between the two groups. Temperature had a moderate effect, with lowland coffee plots consistently warmer. Both elevation zones were thermally suitable for Arabica coffee. Spatially, the lowlands were centralized, while the highlands were located to the north and south. Our results highlight how elevation shapes agroenvironmental factors and raises the possibility of elevationbased management. To advance the understanding of coffee crop dynamics across the elevation gradient, future research should integrate more environmental variables and biophysical indicators. |
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Palavras-Chave: |
Análise de séries temporais; Geoanalytics; K-means. |
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Thesagro: |
Agricultura; Café; Sensoriamento Remoto. |
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Thesaurus Nal: |
Agriculture; Remote sensing; Time series analysis. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 02051nam a2200265 a 4500
001 2183697
005 2026-01-21
008 2025 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1109/MIGARS67156.2025.11232065$2DOI
100 1 $aSILVA, T. L. da
245 $aElevation-based clustering and spatiotemporal analysis of coffee crop agro-environmental dynamics.$h[electronic resource]
260 $aIn: INTERNATIONAL CONFERENCE ON MACHINE INTELLIGENCE FOR GEOANALYTICS AND REMOTE SENSING, 2025, Bucharest. Proceedings [...]. Piscataway: IEEE, 2025. p. 119-122.$c2025
500 $aMIGARS 2025.
520 $aAbstract— Agricultural monitoring via remote sensing offers key insights into crop dynamics. This study analyzed the influence of elevation on the agro-environmental dynamics of coffee crops in Caconde, São Paulo, Brazil, from 2013 to 2023. K-means clustering identified two elevation groups: lowland (up to 1,017.91 meters) and highland (1,018 meters and above). Statistical analyses revealed significant differences in the normalized difference vegetation index (NDVI), root-zone soil moisture, temperature, and evapotranspiration between the two groups. Temperature had a moderate effect, with lowland coffee plots consistently warmer. Both elevation zones were thermally suitable for Arabica coffee. Spatially, the lowlands were centralized, while the highlands were located to the north and south. Our results highlight how elevation shapes agroenvironmental factors and raises the possibility of elevationbased management. To advance the understanding of coffee crop dynamics across the elevation gradient, future research should integrate more environmental variables and biophysical indicators.
650 $aAgriculture
650 $aRemote sensing
650 $aTime series analysis
650 $aAgricultura
650 $aCafé
650 $aSensoriamento Remoto
653 $aAnálise de séries temporais
653 $aGeoanalytics
653 $aK-means
700 1 $aROMANI, L. A. S.
700 1 $aMASSRUHA, S. M. F. S.
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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| 1. |  | GOUVEA, R. A.; NOGARA NETO, F.; FRANCHINI, J. C.; DEBIASI, H.; SANTOS, E. L. dos. Experimentação on farm em agricultura de precisão para ajuste da densidade de sementes e nitrogênio na cultura do milho no norte do Paraná. In: JORNADA ACADÊMICA DA EMBRAPA SOJA, 21., 2026, Londrina, PR. Resumos expandidos... Londrina: Embrapa Soja, 2026. p. 116-122. trabalho 16. (Embrapa Soja. Eventos técnicos & científicos, 8). Organização da publicação: Regina Maria Villas Bôas de Campos Leite, Liliane Márcia Mertz-Henning, Kelly Catharin.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Soja. |
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| 2. | | NAIME, J. de M.; SPERANZA, E. A.; LOPES, I. de O. N.; VAZ, C. M. P.; INAMASU, R. Y.; NOGARA NETO, F.; FRANCHINI, J. C. Optimizing maize planting density for enhanced economic returns. In: SIMPÓSIO NACIONAL DE INSTRUMENTAÇÃO AGROPECUÁRIA, 5., 2025, São Carlos. Anais [...]. São Carlos: Embrapa Instrumentação, 2025. p. 577-581. Editores: Paulo Sergio de Paula Herrmann Junior, Henriette Monteiro Cordeiro de Azeredo, Maria Fernanda Berlingieri Durigan, Luís Henrique Bassoi. SIAGRO 2025.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Instrumentação; Embrapa Soja. |
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