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    <title>DSpace Coleção:</title>
    <link>http://repositorio.ufc.br/handle/riufc/76</link>
    <description />
    <pubDate>Wed, 08 Apr 2026 15:18:50 GMT</pubDate>
    <dc:date>2026-04-08T15:18:50Z</dc:date>
    <item>
      <title>Pegada de carbono do caju em diferentes sistemas de cultivo: métodos de quantificação de gases de efeito estufa e projeções</title>
      <link>http://repositorio.ufc.br/handle/riufc/85462</link>
      <description>Título: Pegada de carbono do caju em diferentes sistemas de cultivo: métodos de quantificação de gases de efeito estufa e projeções
Autor(es): Sales, Jonnathan Richeds da Silva
Abstract: In the face of the climate crisis, food supply chains are increasingly seeking to implement sustainable &#xD;
production practices; for example, studies focused on the fruit sector. Cashew farming plays an &#xD;
important socioeconomic role in agriculture in Brazil, especially in the Northeast region. Thus, the &#xD;
objective was to evaluate, compare, and integrate methodological approaches for estimating the &#xD;
carbon footprint in Brazilian cashew farming, considering both life cycle inventories based on empirical &#xD;
equations and the dynamics of carbon in biomass and soil throughout the useful life of the orchards. &#xD;
Initially, different methods for quantifying GHGs in a conventional cashew production system were &#xD;
evaluated. The Nemecek-Calc, WFLDB, IPCC-Calc, BR-Calc, and Agri-footprint methodologies were &#xD;
compared according to ISO 14067 standard. The results showed variations of up to 24.5% between &#xD;
the methods, with N₂O being the main contributor to emissions. Based on criteria of methodological &#xD;
clarity, scientific robustness, and suitability to regional data, the WFLDB, IPCC-Calc, and BR-Calc &#xD;
methods showed the best performance. In a second stage, the carbon footprint was integrated with the &#xD;
quantification of carbon stored in biomass and the modeling of soil organic carbon (SOC) throughout &#xD;
the cashew tree's production cycle, considering a lifespan of 25 years. Five production systems were &#xD;
evaluated in experimental and commercial areas, including monoculture and intercropping systems. &#xD;
Biomass was quantified using specific allometric equations, and the SOC (0–20 cm) was estimated &#xD;
using the RothC model. The results demonstrated greater carbon accumulation in biomass and soil in &#xD;
diversified systems, reflecting lower carbon footprint values compared to conventional systems. It is &#xD;
concluded that the methodological choice and management system significantly influence the carbon &#xD;
footprint results in cashew farming, highlighting the potential of diversified production systems as a &#xD;
strategy for mitigating climate change and supporting the sustainability of the sector.
Tipo: Tese</description>
      <pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://repositorio.ufc.br/handle/riufc/85462</guid>
      <dc:date>2026-01-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Desenvolvimento e validação de sistema vestível para monitoramento de cães de busca e resgate</title>
      <link>http://repositorio.ufc.br/handle/riufc/85415</link>
      <description>Título: Desenvolvimento e validação de sistema vestível para monitoramento de cães de busca e resgate
Autor(es): Viana, Vinícius de Sena Sales
Abstract: The operational efficiency of cynotechnical teams in search and rescue missions is conditioned by &#xD;
communication effectiveness and the monitoring of canine behavioral patterns. However, remote &#xD;
supervision in scenarios of high structural complexity or dense vegetation still faces tactical and &#xD;
technological limitations. This study aimed to develop a monitoring system for search and rescue dogs, &#xD;
which comprised the engineering of a transmitter prototype based on a microcontroller, integrating an &#xD;
accelerometer, a gyroscope, and a sound detector. The system underwent an experimental protocol with &#xD;
dogs from the Search Dog Company (CBCães/CBMCE). Results showed that the fusion of kinematic and sound data enabled the identification of resting, displacement, and alert barking states with an &#xD;
overall accuracy of 98.70%. The LoRa protocol ensured the stability of real-time telemetric transmission &#xD;
with a reduced standard deviation (± 0.35), providing objective metrics for the handler's decision-making. &#xD;
In conclusion, the device demonstrates high technical and operational robustness, mitigating the &#xD;
subjectivity of human observation and optimizing assertiveness in victim localization in disaster scenarios.
Tipo: Tese</description>
      <pubDate>Wed, 01 Jan 2025 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://repositorio.ufc.br/handle/riufc/85415</guid>
      <dc:date>2025-01-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Aerodinâmica de caixas de transporte de aves</title>
      <link>http://repositorio.ufc.br/handle/riufc/85393</link>
      <description>Título: Aerodinâmica de caixas de transporte de aves
Autor(es): Lima, Victor Abreu de
Abstract: Poultry transportation presents a significant challenge to animal welfare, particularly &#xD;
when birds are exposed to thermal stress during travel, a condition that can compromise &#xD;
physiological stability, performance, and survival. Despite the relevance of this issue, &#xD;
research on engineering improvements in poultry transport crates remains limited. In this &#xD;
study, four poultry transport crates models were evaluated to determine their potential to &#xD;
improve thermal comfort and internal airflow conditions. Computational Fluid Dynamics &#xD;
(CFD) simulations were performed at three transport speeds, complemented by wind &#xD;
tunnel experiments using reduced-scale prototypes manufactured by additive &#xD;
manufacturing. The CFD simulation results demonstrated that alternative crate model 3 &#xD;
(AC3) exhibited higher average internal airflow velocities (IAFV) at all speeds, including &#xD;
a 32.85% increase compared to the conventional Brazilian crate (CC) at 60 km/h. Wind &#xD;
tunnel tests confirmed significant differences between the crates. AC3 presented lower &#xD;
air temperature than AC1 and reduced relative humidity compared to CC and AC2. &#xD;
Bioclimatic indices corroborated these results, with AC3 presenting the lowest THI and &#xD;
enthalpy, indicating a less stressful microclimate. In terms of airflow, AC2 and AC3 &#xD;
achieved higher IAFV (19.27 ± 8.49 m/s and 19.30 ± 4.80 m/s) than AC1 and CC. AC3 &#xD;
also presented the lowest dynamic pressure, suggesting less resistance to airflow and &#xD;
more efficient aerodynamics. Therefore, the improved geometry of the boxes and the &#xD;
increase in ventilation surface area may improve airflow distribution, potentially reducing &#xD;
heat accumulation and improving animal welfare. However, further studies involving live &#xD;
birds, realistic stocking densities, and full-scale trailer simulations are needed to validate &#xD;
these benefits under commercial transport conditions.
Tipo: Tese</description>
      <pubDate>Wed, 01 Jan 2025 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://repositorio.ufc.br/handle/riufc/85393</guid>
      <dc:date>2025-01-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Agricultura digital 4.0 em compost barn: monitoramento ambiental e soluções  de manejo baseadas em microcontroladores</title>
      <link>http://repositorio.ufc.br/handle/riufc/84808</link>
      <description>Título: Agricultura digital 4.0 em compost barn: monitoramento ambiental e soluções  de manejo baseadas em microcontroladores
Autor(es): Peixoto, Maria Simone Mendes
Abstract: This study aimed to investigate structural and environmental aspects, as well as to propose &#xD;
technological solutions based on microcontrollers for compost barn systems on dairy farms located in &#xD;
the state of Ceará, Brazil. Initially, the main concepts, limitations, and advancements of the topic are &#xD;
presented. In Chapter 1, the environmental dynamics of dairy cow housing were evaluated using &#xD;
geostatistics in six farms during the dry season. Microclimatic characteristics, construction aspects, &#xD;
bedding management, animals’ physiological responses, and the degree of producer satisfaction were &#xD;
investigated. It was observed that the animals remained under severe heat stress, especially in the &#xD;
afternoon. The influence of stocking density and barn typology on thermal comfort and bedding &#xD;
uniformity was also confirmed. Regarding the degree of producer satisfaction, interviewees identified &#xD;
the implementation costs as a limiting factor but expressed a high level of satisfaction with the system. &#xD;
The results highlight the challenges of adopting this system for dairy cattle housing in semi-arid &#xD;
regions. In Chapter 2, a portable device based on the Internet of Things (IoT) was developed for &#xD;
compost barn systems. Initially, the necessary electronic components for assembling the prototype &#xD;
were selected and acquired. The development occurred gradually, with three successive versions: the &#xD;
first based on Arduino UNO R3, and the following versions with ESP32, additional sensors, and &#xD;
improvements in power supply and display. Performance tests of the prototype were carried out on &#xD;
commercial dairy farms and in a laboratory at the Federal University of Ceará. In the field phase, &#xD;
bedding temperature results obtained with conventional devices were compared to those from the &#xD;
proposed prototype, with statistically significant differences (p &lt; 0.05) in some layers. These findings &#xD;
indicate the need for further studies, especially regarding the stabilization time of the DS18B20 sensor. &#xD;
As for data storage, no losses were recorded, even with oscillations or connection failures, as all &#xD;
information was successfully saved to a memory card. The device demonstrated satisfactory &#xD;
performance in measuring environmental and bedding thermal variables, with potential application in &#xD;
the intelligent management of compost barn facilities in semi-arid climates.
Tipo: Tese</description>
      <pubDate>Wed, 01 Jan 2025 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://repositorio.ufc.br/handle/riufc/84808</guid>
      <dc:date>2025-01-01T00:00:00Z</dc:date>
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