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    <title>DSpace Communidade:</title>
    <link>http://repositorio.ufc.br/handle/riufc/41</link>
    <description />
    <pubDate>Mon, 06 Apr 2026 06:05:52 GMT</pubDate>
    <dc:date>2026-04-06T06:05:52Z</dc:date>
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      <title>DSpace Communidade:</title>
      <url>https://repositorio.ufc.br:443/ri/retrieve/eeb91e64-3532-460e-ba77-240b3f8ffde1/Comunidade_CCA-RI-moldurado.jpg</url>
      <link>http://repositorio.ufc.br/handle/riufc/41</link>
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    <item>
      <title>Efeito de diferentes laminas de irrigação sobre a produtividade da soja (Glycine max (L) Merril) utilizando o sistema de aspersão em linha</title>
      <link>http://repositorio.ufc.br/handle/riufc/85640</link>
      <description>Título: Efeito de diferentes laminas de irrigação sobre a produtividade da soja (Glycine max (L) Merril) utilizando o sistema de aspersão em linha
Autor(es): Rodrigues, Antônio Luciano
Abstract: A field work was done at the "Fazenda Experiemental da Universidade Federal do Ceará", at Pentecoste, Ceará, Brazil, from October 1988 to february 1989, to evaluate the effects of different irrigation levels on the productivity of tropical&#xD;
saybeans (Blicine max (L) Merril), using a line source sprinkler system. [...]
Tipo: Dissertação</description>
      <pubDate>Mon, 01 Jan 1990 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://repositorio.ufc.br/handle/riufc/85640</guid>
      <dc:date>1990-01-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Aprendizado profundo (Deep learning) na identificação de estresse hídrico em meloeiro</title>
      <link>http://repositorio.ufc.br/handle/riufc/85638</link>
      <description>Título: Aprendizado profundo (Deep learning) na identificação de estresse hídrico em meloeiro
Autor(es): Mariano, Arthur Breno Rocha
Abstract: Remote monitoring through imaging is a powerful tool for evaluating the performance of melon crops, which exhibit high water demand and are primarily grown under irrigation. This study aimed to analyze the physiological and yield behavior of melon plants under different irrigation depths, as well as to build a database of spectrum visible and thermal images for water status prediction via deep learning. The experiment followed a randomized complete&#xD;
block design with four irrigation depths (50%, 75%, 100%, and 125% of crop&#xD;
evapotranspiration - ETc) and five replications. Drip irrigation was employed, and the Class A pan method was used to determine evapotranspiration. The length of the main branch showed a linear relationship with the increase in the applied irrigation depth. Physiological results at 65 days after transplanting (DAT) showed that transpiration and stomatal conductance exhibited quadratic behavior, with maximum values near 100% of ETc, while the photosynthetic rate and fruit mass increased linearly with the irrigation depth. Conversely,&#xD;
total soluble solids and pH decreased with increasing water depth. The thermal index showed a negative linear relationship with the applied depth. Regarding the computational aspect, InceptionV3, MobileNetV3, and ResNet50V2 networks were evaluated. It was found that visble spectrum images outperformed the thermal index by 9% in accuracy, and that segmentation reduced network performance by 6%. Although global metrics were similar&#xD;
across architectures, InceptionV3 was the most efficient, achieving the best results in only 19 minutes, compared to 104 minutes for ResNet50V2, as well, the worst coefficients of determination for the applied water depth in relation to the thermal index were observed in the morning period.
Tipo: Dissertação</description>
      <pubDate>Wed, 01 Jan 2025 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://repositorio.ufc.br/handle/riufc/85638</guid>
      <dc:date>2025-01-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Digestato de reator anaeróbio oriundo de resíduos alimentares como fonte de nutrientes</title>
      <link>http://repositorio.ufc.br/handle/riufc/85586</link>
      <description>Título: Digestato de reator anaeróbio oriundo de resíduos alimentares como fonte de nutrientes
Autor(es): Sousa, Bruno Eduardo Lopes
Abstract: The improper disposal of food waste contributes to greenhouse gas emissions and the contamination of soil and water. One alternative to this issue is the treatment of such waste through anaerobic digestion, a process that generates biogas and a nutrient-rich by-product known as digestate, which has potential use as an organic fertilizer in agriculture. This project aims to evaluate the potential of digestate as a fertilizer for maize plants, seeking to reduce&#xD;
dependence on mineral fertilizers and improve soil properties. The hypothesis is that digestate derived from food waste can provide results comparable to mineral fertilization in maize cultivation. To test this hypothesis, a greenhouse experiment will be conducted at the Federal University of Ceará, using soil samples and digestate produced from food waste. The experimental design will be completely randomized, with six treatments and four replicates:T1: Control (no fertilizer), T2: 100% mineral fertilizer, T3: 75% mineral fertilizer + 25% liquid&#xD;
digestate, T4: 50% mineral fertilizer + 50% liquid digestate, T5: 25% mineral fertilizer + 75% liquid digestate, T6: 100% liquid digestate. Fertilizer dosages were defined based on the chemical analysis of the digestate, taking into account the availability of nitrogen, phosphorus, and potassium, and following agronomic recommendations for maize. The mineral fertilizers used were urea, triple superphosphate, and potassium chloride. Plant biometric parameters were evaluated, including height, number of leaves, and stem diameter. Dry and fresh shoot biomass were analyzed, as well as the chemical composition of macro- and micronutrients in the plants. Soil analyses included: pH, electrical conductivity (EC), phosphorus, calcium, magnesium, potassium, sodium, copper, iron, manganese, zinc, sum of bases, cation exchange capacity&#xD;
(CEC), exchangeable sodium percentage (ESP), sodium adsorption ratio (SAR), and potential acidity. Data were analyzed using multivariate techniques, including principal component analysis and ANOVA. Treatment means were compared using mean comparison tests, with analyses performed in SAS (Statistical Analysis System, 1995), considering a significance level of 5%. The results showed that treatments T2, T3, T4, and T5 promoted higher means for plant biometric variables, nutrient accumulation in plant biomass, and soil fertility. Treatment T4 (50% mineral fertilizer + 50% digestate) stood out by significantly increasing plant height (128.5 cm), representing an 83.57% increase compared to the control; it also promoted the largest stem diameter (21.72 mm), with a 125.78% increase compared to the control, and the highest number of leaves, with a 33.33% increase over the control. The combination of digestate with mineral fertilizers enhanced the availability of macro- and micronutrients, increasing their concentration in the soil without causing harmful sodium accumulation. Although treatment T6 (100% digestate) presented lower results compared to those with mineral fertilizer blends, it&#xD;
performed better than the control, suggesting its potential as a standalone fertilizer, albeit with reduced productivity. Partial replacement of mineral fertilizers with liquid digestate—especially in the 50% mineral fertilizer + 50% digestate ratio—proved effective for maize fertilization, providing agronomic results equivalent to or superior to conventional fertilization and offering&#xD;
environmental benefits by utilizing food waste.
Tipo: Dissertação</description>
      <pubDate>Wed, 01 Jan 2025 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://repositorio.ufc.br/handle/riufc/85586</guid>
      <dc:date>2025-01-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Aproveitamento de coproduto do processo de concentração de proteína da amêndoa da castanha de caju para aplicação em massas alimentícias</title>
      <link>http://repositorio.ufc.br/handle/riufc/85569</link>
      <description>Título: Aproveitamento de coproduto do processo de concentração de proteína da amêndoa da castanha de caju para aplicação em massas alimentícias
Autor(es): Vasconcelos, Damicléa Martins
Abstract: The growing demand for gluten-free foods, coupled with the increased prevalence of gluten-related disorders and the search for products with higher nutritional value, has driven the development of pasta formulated with alternative ingredients to wheat. Simultaneously, the production of alternative protein ingredients for the food industry has gained prominence, among them cashew nut protein concentrate. Considering that the co-product generated in the protein concentration process still has a high protein content, this study aimed to evaluate its potential as an ingredient in the production of gluten-free fresh pasta. Initially, the co-product was characterized in terms of its proximate composition, mineral and amino acid profile, physicochemical and technofunctional properties, flow behavior, instrumental color, and&#xD;
chemical-structural and microstructural characteristics. Subsequently, three formulations of gluten-free fresh pasta were developed, varying the proportions of rice flour and sour cassava starch, while keeping the co-product content constant. The formulations were evaluated for nutritional composition, mineral profile, bioactive compounds, cooking quality, rheological and textural properties, microstructure, microbiological quality, and qualitative sensory perception through a focus group with gastronomy experts. The results demonstrated that the co-product has high nutritional value, with a protein content exceeding 20%, a significant amount of dietary fiber, and a relevant mineral profile, highlighting potassium, magnesium, calcium, and phosphorus. The amino acid profile was complete, with a significant contribution of essential&#xD;
amino acids. Technologically, high water absorption capacity, cohesive powder behavior, and properties compatible with applications in food systems were observed. The developed pastas showed increased protein and fiber content compared to conventional gluten-free pastas, in addition to an enriched mineral profile. Cooking parameters indicated low solids loss, adequate water absorption, and structural stability, while rheological analyses showed predominantly elastic viscoelastic behavior. The instrumental texture and microstructure varied according to the proportion of rice flour and sour cassava starch, with Formulation 2 showing the best balance between firmness, chewiness, structural cohesion, and culinary applicability. It is concluded that the cashew nut by-product constitutes a promising alternative for the&#xD;
development of gluten-free fresh pasta, adding nutritional and technological value and contributing to the sustainable valorization of agro-industrial by-products.
Tipo: Dissertação</description>
      <pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://repositorio.ufc.br/handle/riufc/85569</guid>
      <dc:date>2026-01-01T00:00:00Z</dc:date>
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