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    <title>DSpace Coleção: Artigo em periódico indexado (CNPH)</title>
    <link>https://www.alice.cnptia.embrapa.br/alice/handle/item/178</link>
    <description>Artigo em periódico indexado (CNPH)</description>
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        <rdf:li rdf:resource="https://www.alice.cnptia.embrapa.br/alice/handle/doc/1187930" />
        <rdf:li rdf:resource="https://www.alice.cnptia.embrapa.br/alice/handle/doc/1187909" />
        <rdf:li rdf:resource="https://www.alice.cnptia.embrapa.br/alice/handle/doc/1187696" />
        <rdf:li rdf:resource="https://www.alice.cnptia.embrapa.br/alice/handle/doc/1187361" />
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    <dc:date>2026-07-03T04:29:12Z</dc:date>
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  <item rdf:about="https://www.alice.cnptia.embrapa.br/alice/handle/doc/1187930">
    <title>Caracterização dos polos de produção e de produtores de batata-inglesa no Brasil.</title>
    <link>https://www.alice.cnptia.embrapa.br/alice/handle/doc/1187930</link>
    <description>Título: Caracterização dos polos de produção e de produtores de batata-inglesa no Brasil.
Autoria: PEDROSO, M. T. M.; FERREIRA, Z. R.
Conteúdo: Este estudo caracteriza o perfil tecnológico e a intensidade produtiva dos polos de produção de batata no Brasil, usando dados do Censo Agropecuário 2017. O objetivo é mapear a realidade agrária e identificar diferenças entre polos de produtores e de volume para subsidiar políticas públicas e pesquisas agronômicas no setor hortícola.</description>
    <dc:date>2026-01-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="https://www.alice.cnptia.embrapa.br/alice/handle/doc/1187909">
    <title>PFBCIA – sweet potato: low-cost AI-powered phenotyping platform from prompt engineering to climate justice: thermal stress</title>
    <link>https://www.alice.cnptia.embrapa.br/alice/handle/doc/1187909</link>
    <description>Título: PFBCIA – sweet potato: low-cost AI-powered phenotyping platform from prompt engineering to climate justice: thermal stress
Autoria: FONTENELLE, M. R.; VENDRAME, L. P. de C.; MARTINS, S. C. V.; GUEDES, I. M. R.; LUSTOSA JÚNIOR, I. M.; LIMA, C. E. P.
Conteúdo: The development of Low-Cost Phenotyping Platforms Supported by Generative Artificial Intelligence (AI) is part of a recently launched research initiative at Embrapa Vegetables in Brasília, Federal District, aimed at creating a National Platform for Adaptation to Climate Change Applied to Family Farming (Clima AF). Through Prompt Engineering and Command Chaining, this stage was designed for the visual assessment of physiological disorders in sweet potato (Ipomoea batatas) tuberous roots in the context of the Climate Emergency. The pipeline consists of four stages: 1 - Definition of an expert persona; 2 - Phenological contextualization and critical root filling period; 3 - Visual anatomical phenotyping; and 4 - Synthesis of the physiological disorders found, with a focus on heat stress. The methodology is available as open access following FAIR principles. The analysis is conducted using minimal information, such as photos that can be taken with everyday devices like martphones and information about the harvest season. Because it is available as open access, it democratizes information and contributes to achieving climate justice for a socioeconomically ulnerable audience (family farmers).</description>
    <dc:date>2026-01-01T00:00:00Z</dc:date>
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  <item rdf:about="https://www.alice.cnptia.embrapa.br/alice/handle/doc/1187696">
    <title>Research trends and knowledge gaps in sustainable urban agriculture: a scientometric analysis.</title>
    <link>https://www.alice.cnptia.embrapa.br/alice/handle/doc/1187696</link>
    <description>Título: Research trends and knowledge gaps in sustainable urban agriculture: a scientometric analysis.
Autoria: MARTINS, T. C.; CESAR, T. Q. Z.; SILVA, F. B. da; GUEDES, I. M. R.; SOUCHIE, E. L.; DAMKE, C. da R.; DORO, V. da C.; SILVA, F. G.
Conteúdo: Urban agriculture plays a strategic role in sustainability, food security, and climate adaptation in cities, where temperature emerges as a key variable. This study conducted a scientometric and qualitative analysis to investigate how temperature has been addressed in the scientific literature on urban agriculture between 2020 and 2025. A total of 244 documents were retrieved from Scopus and Web of Science, followed by a qualitative screening that resulted in 20 articles with high thematic relevance. The results reveal a strong geographic concentration of research in Asia–Pacific countries and a rapid expansion of publications after 2022. The qualitative analysis enabled the classification of studies into three main groups: Group A (open and semi-open systems), Group B (building-integrated and protected systems), and Group C (fully controlled indoor environments). Group C represents the majority of studies (55%), indicating a strong research focus on high-technology systems such as plant factories. Group B accounts for (30%), highlighting growing interest in energy integration between agriculture and buildings, while Group A represents only (15%), showing that open-field urban agriculture remains underexplored in terms of temperature. Temperature is addressed at different scales: as a microclimatic regulator in open environments, as a mediator of energy exchange in building-integrated systems, and as a high-precision control variable in fully controlled systems. Despite its central role, temperature-focused studies remain limited, revealing gaps in empirical validation and multi-scale integration. These findings highlight a technological shift toward controlled environment agriculture and the need for integrated approaches combining microclimate regulation, energy efficiency, and precision control.</description>
    <dc:date>2026-01-01T00:00:00Z</dc:date>
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  <item rdf:about="https://www.alice.cnptia.embrapa.br/alice/handle/doc/1187361">
    <title>An open-architecture precision vertical farming system for sesame microgreens: audit-ready telemetry for dynamic lighting and energy–biomass benchmarking.</title>
    <link>https://www.alice.cnptia.embrapa.br/alice/handle/doc/1187361</link>
    <description>Título: An open-architecture precision vertical farming system for sesame microgreens: audit-ready telemetry for dynamic lighting and energy–biomass benchmarking.
Autoria: SILVA, M. D.; VASCONCELOS, J. M.; SILVA, F. B. da; BAILÃO, A. S. de O.; GUEDES, I. M. R.; VILELA, M. da S.; COSTA, A. C.; ROSA, M.; LOURENÇO, L. L.; SILVA, F. G.
Conteúdo: The reproducibility of lighting protocols in Plant Factories with Artificial Lighting (PFALs) is frequently constrained by the scarcity of auditable operational data. This study presents and validates an open-architecture Precision Vertical Farming System (PVFS) capable of executing dynamic photosynthetic photon flux density (PPFD) profiles under controlled Daily Light Integral (DLI), ensuring traceability via IoT telemetry. The system was applied to sesame microgreens grown using a 2×4 factorial design, combining temporal profiles (Constant vs. Gaussian) and light spectra (White, Blue, Red, and RBW), with DLI equalized at 10.8molm−2 d−1. Telemetric validation demonstrated high stability (jitter ≈ 0) and data completeness (&gt; 98%), enabling the precise calculation of Specific Energy Consumption (SEC) and Energy-to-Mass Efficiency (EEMS). Results indicated that, under equivalent DLI, the Gaussian profile increased energy costs (higher SEC) without proportional biomass gains for most spectra. The Red–Constant treatment achieved the highest efficiency (10.02gkWh−1), whereas white light exhibited the highest energy cost. Principal Component Analysis (PCA) reinforced that energy performance (SEC/EEMS) was more strongly associated with production outcomes (biomass) than with instantaneous photosynthetic metrics (e.g., ����∕����), underscoring the importance of continuous monitoring of energy use and yield. The PVFS proved to be a robust tool for energy benchmarking and the standardization of lighting recipes in vertical farming.</description>
    <dc:date>2026-01-01T00:00:00Z</dc:date>
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