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  <title>DSpace Coleção: Resumo em anais de congresso (CNPTIA)</title>
  <link rel="alternate" href="https://www.alice.cnptia.embrapa.br/alice/handle/item/198" />
  <subtitle>Resumo em anais de congresso (CNPTIA)</subtitle>
  <id>https://www.alice.cnptia.embrapa.br/alice/handle/item/198</id>
  <updated>2026-04-23T06:53:48Z</updated>
  <dc:date>2026-04-23T06:53:48Z</dc:date>
  <entry>
    <title>Advancing coffee management mapping through multisensor data and multistep ensemble learning.</title>
    <link rel="alternate" href="https://www.alice.cnptia.embrapa.br/alice/handle/doc/1186342" />
    <author>
      <name>PARREIRAS, T. C.</name>
    </author>
    <author>
      <name>BOLFE, E. L.</name>
    </author>
    <author>
      <name>FURUYA, D. E. G.</name>
    </author>
    <id>https://www.alice.cnptia.embrapa.br/alice/handle/doc/1186342</id>
    <updated>2026-04-22T19:49:56Z</updated>
    <published>2026-01-01T00:00:00Z</published>
    <summary type="text">Título: Advancing coffee management mapping through multisensor data and multistep ensemble learning.
Autoria: PARREIRAS, T. C.; BOLFE, E. L.; FURUYA, D. E. G.
Conteúdo: Despite the advances, accurately identifying recently renovated and skeletonized coffee areas remains a challenge, as their altered canopy structure and reduced vigor produce spectral signatures similar to those of fallow or non-coffee areas. To address these limitations, upcoming research will focus on leveraging a space-time hybrid approach with deep learning and surface phenology modeling. Specifically, we plan to implement a workflow combining the spatial detail of Sentinel-2 with the temporal continuity of HLS.</summary>
    <dc:date>2026-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>From satellites to smartphones: opportunities for digital agriculture in apple orchards.</title>
    <link rel="alternate" href="https://www.alice.cnptia.embrapa.br/alice/handle/doc/1186341" />
    <author>
      <name>FURUYA, D. E. G.</name>
    </author>
    <author>
      <name>BOLFE, E. L.</name>
    </author>
    <author>
      <name>PARREIRAS, T. C.</name>
    </author>
    <id>https://www.alice.cnptia.embrapa.br/alice/handle/doc/1186341</id>
    <updated>2026-04-22T18:48:57Z</updated>
    <published>2026-01-01T00:00:00Z</published>
    <summary type="text">Título: From satellites to smartphones: opportunities for digital agriculture in apple orchards.
Autoria: FURUYA, D. E. G.; BOLFE, E. L.; PARREIRAS, T. C.
Conteúdo: Mobile phones images of Fuji and Gala apples are being used to evaluate the performance of neural networks for fruit detection, which can serve as the basis for developing future mobile applications not only for fruit detection but also for the assessment of different characteristics and parameters, such as size, color, or quality. Such applications may support farmers and technicians by offering practical and low-cost tools for monitoring orchard conditions.</summary>
    <dc:date>2026-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Produtividade em cana-de-açucar em variedades convencionais e tipo cana energia sob diferentes doses de potassio.</title>
    <link rel="alternate" href="https://www.alice.cnptia.embrapa.br/alice/handle/doc/1186019" />
    <author>
      <name>SILVA, F. C. da</name>
    </author>
    <author>
      <name>RAIZER, A. J.</name>
    </author>
    <author>
      <name>CARVALHO, M. L.</name>
    </author>
    <author>
      <name>DIAS, V. G.</name>
    </author>
    <author>
      <name>CRISTOFOLETI, D.</name>
    </author>
    <author>
      <name>CASTRO, A. de</name>
    </author>
    <id>https://www.alice.cnptia.embrapa.br/alice/handle/doc/1186019</id>
    <updated>2026-04-04T13:04:06Z</updated>
    <published>2023-01-01T00:00:00Z</published>
    <summary type="text">Título: Produtividade em cana-de-açucar em variedades convencionais e tipo cana energia sob diferentes doses de potassio.
Autoria: SILVA, F. C. da; RAIZER, A. J.; CARVALHO, M. L.; DIAS, V. G.; CRISTOFOLETI, D.; CASTRO, A. de
Conteúdo: A cana-de-açúcar é cultura de destaque no Brasil, pela importância socioeconômica e como fonte bioenergética, ocupando área de colheita de 8,5 milhões de hectares e produção de 655 milhões de toneladas, em 2021. O potássio se destaca dentre os nutrientes utilizados na cultura, sendo o nutriente exportado em maior quantidade, além de influenciar na sua qualidade. O objetivo do estudo foi avaliar, em vários ciclos, doses crescentes de potássio aplicadas na cana-de-açúcar, bem como o comportamento de variedades convencionais e de cana energia.</summary>
    <dc:date>2023-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Fostering the role of aquaculture in the blue economy with interdisciplinary approaches in Brazil.</title>
    <link rel="alternate" href="https://www.alice.cnptia.embrapa.br/alice/handle/doc/1185954" />
    <author>
      <name>KIMPARA, J. M.</name>
    </author>
    <author>
      <name>GARCIA, F.</name>
    </author>
    <author>
      <name>VETORELLI, M. P.</name>
    </author>
    <author>
      <name>EVANGELISTA, S. R. M.</name>
    </author>
    <id>https://www.alice.cnptia.embrapa.br/alice/handle/doc/1185954</id>
    <updated>2026-04-04T13:03:38Z</updated>
    <published>2025-01-01T00:00:00Z</published>
    <summary type="text">Título: Fostering the role of aquaculture in the blue economy with interdisciplinary approaches in Brazil.
Autoria: KIMPARA, J. M.; GARCIA, F.; VETORELLI, M. P.; EVANGELISTA, S. R. M.
Conteúdo: Humanity faces major global transformations as we enter the Anthropocene, marked by human-induced changes to Earth. New approaches are needed to address these issues, with sustainability gaining prominence. The Blue Economy offers solutions by providing food while reducing carbon emissions, pollution, and waste. Establishing effective aquaculture systems requires integrated disciplines and technologies to address complex challenges.</summary>
    <dc:date>2025-01-01T00:00:00Z</dc:date>
  </entry>
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