Revista Brasileira de Engenharia de Biossistemas
http://seer.tupa.unesp.br/index.php/BIOENG
<table style="height: 190px;" width="800"> <tbody> <tr> <td width="141"> <h2 class="title"> </h2> <h2 class="title"> <img src="https://seer.tupa.unesp.br/public/site/images/dfpereira/mceclip0.png" /></h2> </td> <td width="425">The <em>Brazilian Journal of Biosystems Engineering</em> (BIOENG) publishes original articles that present theoretical, experimental, computational advances and innovations in the areas of agricultural and environmental systems, bringing applications for the sustainable development of agricultural and animal biosystem productions. BIOENG journal publishes interdisciplinary scientific articles and prioritizes issues related to Sustainable Development Goals (SDGs) of the United Nations (UN).</td> </tr> </tbody> </table>UNESP, Campus de Tupãen-USRevista Brasileira de Engenharia de Biossistemas1981-7061<p>Authors who publish in this journal agree to the following terms:</p> <p>a) Authors retain the copyright and grant the journal the right of first publication, with the work simultaneously licensed under the Creative Commons Attribution License that allows the sharing of the work with recognition of authorship and initial publication in this journal.</p> <p>b) Authors are authorized to assume additional contracts separately, for non-exclusive distribution of the version of the work published in this journal (eg, publish in an institutional repository or as a book chapter), with recognition of authorship and initial publication in this journal.</p>Do low-cost digital tools allow measuring the cladode area?
http://seer.tupa.unesp.br/index.php/BIOENG/article/view/1203
<p>This study evaluated low-cost digital tools for estimating cladode area by mobile and fixed devices. We conducted the experiment at the Serra Talhada Academic Unit of the Federal Rural University of Pernambuco with pear cactus (<em>Nopalea cochenillifera</em> Salm-Dyck and <em>Opuntia stricta</em> (Haw.)). In this sense, we used four software to measure the cladode area: LAFore (fixed device), ImageJ (fixed device), Easy Leaf App (mobile device), and Petiole App (mobile device). We considered the LAFore software as a reference and used the following statistical parameters: linear regression, correlation coefficient (r), Willmott index (d), confidence index (c), and standard error of estimate (SEE). The software on fixed devices (ImageJ and LAFore) showed similar results, with performance considered excellent, and the Easy Leaf App showed a very good performance among mobile devices.</p>Henrique De Souza GomesRenan Matheus Cordeiro LeitaAlan Cezar BezerraRaphaell Aymá Alves Nogueira De CarvalhoMaynar Nogueira De CarvalhoThieres George Freire da Silva
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2024-12-032024-12-031810.18011/bioeng.2024.v18.1203Bean yield estimation using unmanned aerial vehicle imagery
http://seer.tupa.unesp.br/index.php/BIOENG/article/view/1219
<p>The common bean is a crop of substantial socioeconomic importance that is cultivated throughout the Brazilian territory. Despite that, studies conducted so far have shown limitations in the methodologies used for yield estimation. In this sense, emerging technologies such as unmanned aerial vehicles (UAVs) can help both in crop monitoring and in assessing crop yield. Therefore, this study aimed: (1) to estimate the bean yield using spectral variables derived from UAV imagery and (2) to define the best vegetative stage for yield estimation. For this, data from a field experiment were used. The beans were planted in a conventional system in an area of 600 m² (20 x 30 m). During the crop cycle, six flights were carried out using a UAV equipped with a five-band multispectral camera (Red, Green, Blue, Red Edge, and Near-infrared). After that, 10 spectral variables composed of the bands and five vegetation indices (VIs) were obtained. At the end of the season, the area was harvested, and the yield (kg ha<sup>-1</sup>) was determined. Then, the data was submitted to correlation (r), and regression analysis. Overall, all developed models showed moderate performance, but in accordance with the literature, with R² and RMSE values ranging from 0.52 to 0.57 and from 252.79 to 208.84 kg ha<sup>-1</sup>, respectively. Regarding the best vegetative stage for yield estimation, the selected models used data from the second flight (52 days after planting) at the beginning of pod formation and filling (between stages R7 and R8).</p>Diane Gomes CamposRodrigo Nogueira Martins
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2024-06-062024-06-061810.18011/bioeng.2024.v18.1219Soil compaction in progressive agricultural tractor treads
http://seer.tupa.unesp.br/index.php/BIOENG/article/view/1117
<p>Soil compaction is one of the main problems in world agriculture. It is known that, even in soil conservation management, such as in no-till, the transit of agricultural machinery damages the soil structure, therefore, it is essential to better understand the compaction processes and ways to alleviate the problem. In soils that have traditional tillage management, just one machine pass can damage the physical structure. This research aimed to evaluate the levels of compaction as a function of different passages of an agricultural tractor, considering the hypothesis that, during agricultural operations, a machine transits several times through the same place in the crop. The experiment was carried out on plowed and harrowed agricultural soil in the state of São Paulo. Resistance to soil penetration at different depths was evaluated, and the averages were correlated as a function of the number of steps taken by the tractor. Results showed that approximately 60% of the total soil compaction occurs in the first passes of the agricultural tractor, and above five passes the increase in compaction is minimal. At depths of 20 to 30 cm, the largest RSPs were found. It is concluded that a good planning of machinery traffic is essential, because in the case of a motor-mechanized set moving out of its predestined route, the soil structure is permanently affected.</p>Aldir Carpes Marques FilhoMichel dos Santos MouraAndré Campos MeloFellippe Aroon de Jesus DamascenoKléber Pereira Lanças
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2024-06-052024-06-051810.18011/bioeng.2024.v18.1117Cotton responses to potassium fertilization in Northeastern Brazil
http://seer.tupa.unesp.br/index.php/BIOENG/article/view/1215
<p>Carrying out research evaluating the responses of cotton plants to potassium fertilization in different regions is of great importance, as it allows the development of recommendations for fertilization of this nutrient for the crop based on results from localized studies. Therefore, the aim of this work was to evaluate the responses of cotton plants to potassium fertilization in the climate and soil conditions of the Cariri region, located in the northeastern State of Ceará, Brazil. The experiment was conducted in an experimental area at the School of Technology (FATEC - Cariri campus), located in the city of Juazeiro do Norte, Ceará State. A completely randomized design (CRD) was adopted for statistics. The treatments were composed of a combination of five doses of potassium (0, 25, 50, 75, and 100 kg ha<sup>-1</sup> of K<sub>2</sub>O, equivalent to 0, 50, 100, 150, and 200% of the K recommended for cotton cultivation) with four replications. At 70 days after sowing, the plants were collected. Measurements were taken of stem diameter, number of leaves, root dry matter, shoot dry matter, total dry matter, number of floral buds, number of cotton balls, and cotton ball weight. Except for the shoot dry matter and the cotton ball weight, the remaining analysed variables were significantly influenced by potassium doses. Potassium doses between 65 and 100 kg ha<sup>-1</sup> of K<sub>2</sub>O maximized the growth, dry matter, and production components of the cotton plant in the soil and climate conditions of the Cariri region, northeastern Brazil.</p>Célia Maria da SilvaAureliano de Albuquerque RibeiroEvandro Fabio da SilvaMayana Garcias da Silva
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2024-06-062024-06-061810.18011/bioeng.2024.v18.1215Variability of drinking water for pigs and poutry the southern region of Brazil over a twelve – month period
http://seer.tupa.unesp.br/index.php/BIOENG/article/view/1231
<p>The increase in global food demand has led to intensified production of pigs and poultry. In this context, water quality on farms needs to be monitored to ensure maximum production and animal welfare. This study aimed to evaluate the quality and variability of drinking water for animals over twelve months in properties in the Southern Region of Brazil. Physical, chemical, microbiological parameters, and the average rainfall index of nine water sources were observed. Variations in pH were noted among the evaluated water sources, as well as within the same source over monthly collections. A relationship between average rainfall and elevated iron levels was also demonstrated. Nitrate and nitrite levels exceeded Brazilian legislation at certain sampling points, posing risks to human and animal health. In 67.59% of samplings, total coliforms were present, and 59.26% showed the presence of <em>Escherichia coli</em>. The study highlighted the variability of water sources in the Southern Region of Brazil, reflecting the need for constant monitoring and treatment measures, such as water treatment stations, chlorination systems, and acidification in rural properties.</p>Vitória Fernanda BayerAna Luísa da CostaMichele FangmeierLuiza Marchiori SeveroDaiane CarvalhoClaus André KettermannLuana SpechtFernanda RichterDavi MassiJacir MassiMaycon de CamposNathan Pitter Pieta Biavatti
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2024-11-122024-11-121810.18011/bioeng.2024.v18.1231Treatment of cauliflower seeds with product based on bacillus subtilis aiming plant seedling production, development and productivity.
http://seer.tupa.unesp.br/index.php/BIOENG/article/view/1220
<p>The relation between seed vigor and field performance is not yet fully understood, and it is questionable whether these effects extend to more advanced phenological stages and if they affect crop production. In front of that, the objective of this study was to evaluate the effects on the seedlings and plant production of cauliflower using doses of product based on <em>Bacillus subtilis</em> in seed treatment. The study was conducted in Ilha Solteira city, São Paulo State. The experimental design was a complete randomized design for laboratory analysis and complete randomized blocks for the field stage. Ten treatments were studied in a 2 x 5 factorial scheme with four replications. The treatments consisted of seed treatment of cultivars Sharon and Barcelona with <em>Bacillus subtilis</em>-based product (strain FMT001 containing 3x10<sup>8</sup> cells cm<sup>-3</sup>) in five doses (0, 100, 200, 300 and 400 mL per 10 kg of seeds). Seed vigor and crop yield (shoot, root and inflorescence weight, leaf number, inflorescence diameter and yield) characteristics were evaluated. Cultivars averages were compared by Tukey test (p <0.05) and regression for the doses. The results showed that doses of 200 and 400 mL per 10 kg of seeds increased the percentage of strong seedlings of cultivars Barcelona and Sharon, respectively.</p>Emanuele Possas de SouzaSheury Celante MarquesFlávia Mendes dos Santos LourençoMarco Eustáquio de SáPâmela Gomes Nakada FreitasAntonio Ismael Inácio Cardoso
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2024-09-242024-09-241810.18011/bioeng.2024.v18.1220Gypsum-based composites reinforced with bamboo particles
http://seer.tupa.unesp.br/index.php/BIOENG/article/view/1128
<p>This study aimed to evaluate the quality of gypsum-based mineral composites reinforced with bamboo particles. The particles size was 1.68 mm and 0.841 mm. The density adopted for the composites was 0.80 g/cm³. The following weight replacement ratios were adopted: 0; 2.5; 5.0; 7.5 and 10.0%. The water/solid mass factor of the composite remained constant. For each treatment two slabs of composites were produced. Physical and mechanical properties were determined: humidity, apparent density, water absorption (2 and 24 hours), modulus of rupture, modulus of elasticity and compression. The results showed that the apparent density and moisture content of the composites were not influenced by the insertion of the bamboo particles, while the water absorption was significantly reduced. The addition of the bamboo reinforcement particles did not cause improvements in the MOR and MOE properties, but all the MOR values of the treatments reached the value established by EN 13279-2 (EN, 2004). Although all treatments have reached the minimum values stipulated by the standard for compressive strength, all values were reduced with the insertion of bamboo particles. In general, the <em>Dendrocalamus giganteus</em> can be used as reinforcement in gypsum composites, however new parameters should be tested, such as: particle size; increasing the proportions of particles, pre-treatment of particles, addition of other additives, such as superplasticizer to water to improve workability and even use more than one reinforcement to obtain composites with improved properties.</p> <p> </p>Flávia Maria Silva BritoBruna Lopes AlvarengaLaércio Mesquita JúniorLourival Marin MendesJosé Benedito Guimarães Júnior
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2024-06-062024-06-061810.18011/bioeng.2024.v18.1128Mapping and modeling of water erosion in the Revubué river Sub-Basin, Moatize, Mozambique
http://seer.tupa.unesp.br/index.php/BIOENG/article/view/1217
<p>This study investigated water erosion in the Revubué River Sub-Basin, Moatize, Mozambique, utilizing advanced mapping and modeling techniques. Through detailed land use surveys and application of the Potential Erosion Model (EPM), we identified areas with moderate to severe erosion rates (φ = 0.54), particularly in zones of intensive agriculture (15% of the study area) and mining (1% of the study area). The results highlighted the influence of undulating topography (average slope of 9%) and intensive agricultural practices on erosion rates (0 – 25 ton/ha). Urgent implementation of soil conservation practices, such as contour plowing and terracing, was recommended to mitigate soil loss, improve agricultural productivity, and promote environmental sustainability. Agricultural sustainability was emphasized, focusing on investments in sustainable agricultural practices to preserve long-term soil health. Raising awareness among farmers about the impacts of soil erosion and implementing effective management practices were considered crucial. Extension services were recognized as key agents in disseminating knowledge for promoting eco-friendly agricultural practices.</p>Geraldo Félix Pita Duarte
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2024-09-212024-09-211810.18011/bioeng.2024.v18.1217Genetic resistance and silicon in the control of stem rot in Capsicum spp.
http://seer.tupa.unesp.br/index.php/BIOENG/article/view/1115
<p>Pepper stem rot is a disease caused by <em>Sclerotium delphinii</em>, a necrotrophic pathogen and a natural soil inhabitant. Identifying genotypes of <em>Capsicum</em> resistant to the pathogen and applying silicon (Si) can be effective management measures. The objective of the study was to identify sources of resistance in 24 accessions of <em>Capsicum</em> spp. against <em>S. delphinii</em>, and to evaluate the potential of sodium silicate (Si) to induce resistance. Two experiments were conducted: In Experiment I, the resistance reaction of <em>Capsicum</em> in a greenhouse was evaluated. The experiment was conducted in two periods of the year (July and November 2019). In Experiment II, the effect of Si on <em>Capsicum</em> resistance was evaluated. The experimental design used in Experiment I employed randomized blocks in a factorial design of 2 (isolates) x 24 (accessions), with five replications. For Experiment II, six accessions were selected with contrasting resistance responses observed in Experiment I, in a factorial design of 1 (isolate) x 6 (accessions) x 4 (doses: 0.0, 0.025, 0.05, and 0.1 mL per vase). Accessions BGH 71 and BAGC 134 showed greater resistance to the pathogen. Accession BAGC 134 demonstrated high resistance stability in both periods and against the two isolates tested. Si doses had no significant effect on the resistance reaction. Therefore, the genotypes BGH 71 and BAGC 134 have the potential to be used in breeding programs for <em>Capsicum</em> for resistance to <em>S. delphinii</em> for control of stem rot.</p>Bruno Arcanjo SilvaLorenna Leal PiresJosé Evando Aguiar Beserra Jr
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2024-06-052024-06-051810.18011/bioeng.2024.v18.1115Parsley production using organic sources of phosphorus
http://seer.tupa.unesp.br/index.php/BIOENG/article/view/1213
<p>Parsley is a condiment produced mainly by small producers, often in the organic system. Organic fertilizers make nutrients slowly available to plants when compared to inorganic fertilizers, an important quality for phosphorus (P), which is a nutrient that tends to fixate and adsorption. Thus, the objective of this work was to evaluate the production of parsley with the use of organic sources of phosphorus in different proportions. Fourteen treatments were evaluated, resulting from the factorial 6 x 2 + 2: six proportions of two phosphate fertilizers (thermophosphate Yoorin<sup>®</sup> (TY) and bone meal (BM)), two doses (recommended (180 kg.ha<sup>-1</sup> of P<sub>2</sub>O<sub>5</sub>, and double this) + two controls (without phosphate fertilizer; and with inorganic triple superphosphate fertilizer (recommended dose)). The proportions were: 100% P with TY; 80% P with TY + 20% with BM; 60% P with TY + 40% with BM; 40% P with TY + 60% with BM; 20% P with TY + 80% with BM; 100% P with BM. Shoot height, number of leaves, fresh and dry weight of leaves in two harvests and the total of these two harvests were evaluated. No significant differences were obtained in the two harvests. The lack of effect to phosphate fertilization may be related to the high initial P content in the soil (123 mg.dm<sup>-3</sup>), which shows that in this case, fertilization with this nutrient is not necessary to produce parsley, despite the official recommendation to fertilize with phosphorus in a soil with a high P content.</p>Guilherme Gonçalves MachadoDébora Cristina Mastroleo LuisIrene Santos Slusarz da SilvaLucas Daniel PimentaEmanuele Possas de SouzaAntonio Ismael Inácio Cardoso
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2024-04-042024-04-041810.18011/bioeng.2024.v18.1213Evaluating the suitability of Brazilian native species for riverbank stabilization and protection
http://seer.tupa.unesp.br/index.php/BIOENG/article/view/1221
<p>In Brazil, soil and water bioengineering techniques have mainly been used for hydraulic stabilization, water course management and to re-establish the vegetation in fluvial environments. In these techniques plants are considered as an important structural component and their use requires adequate selection. The present study aimed to evaluate the root system and shoot development traits of the <em>Allamanda cathartica</em> L., <em>Ludwigia elegans</em> (Camb.) H. Hara and <em>Sesbania virgata</em> (Cav.) Pers species. The experiment was conducted in a greenhouse at the Laboratory of Soil Bioengineering at the Federal University of Santa Maria. The following variables were evaluated after 120 days: the survival rate, average height, average root collar diameter, average number and sum of shoot length per plant, average number of primary roots and the sum of primary root length, length of the largest root and root dry mass per plant. The percentage of fine roots and coarse roots and distribution of root dry mass percentage in soil depth were also evaluated. The results confirm the suitability of the <em>L. elegans,</em> <em>S. virgata</em> and <em>A. cathartica</em> species for riverbank stabilization and protection in soil and water bioengineering works.</p>Paula Letícia Wolff KettenhuberFabrício Jaques Sutili
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2024-10-072024-10-071810.18011/bioeng.2024.v18.1221Artificial intelligence applied to estimate soybean yield
http://seer.tupa.unesp.br/index.php/BIOENG/article/view/1211
<p>The application of mathematical models using biotic and abiotic factors for the efficient use of fertilizers to obtain maximum economic productivity can be an important tool to minimize the cost of soybean (Glycine max (L.) Merr.) grain yield. In this sense, using Artificial Neural Networks (ANN) is an important tool in studies involving optimization. This study aimed to estimate soybean yield in Luiziana, Paraná state, Brazil, by considering two growing seasons and an Artificial Neural Network (ANN) as a function of the morphological and nutritional parameters of the plants. Results reveal a well-trained network, with a margin of error of approximately 10<sup>-5</sup>, thus acting as a tool to estimate soybean data. For the phases, model validation and network test, i.e., data that were not part of the training (validation), the errors averaged 10<sup>-3</sup>. These results indicate that our approach is adequate for optimizing soybean yield estimates in the area studied.</p>Wesley Prado Leão dos SantosMariana Bonini SilvaAlfredo Bonini NetoCarolina dos Santos Batista BoniniAdônis Moreira
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2024-03-142024-03-141810.18011/bioeng.2024.v18.1211