http://repositorio.ufgd.edu.br/jspui/handle/prefix/1772 2026-01-25T04:26:46Z http://repositorio.ufgd.edu.br/jspui/handle/prefix/6263 Título: Efeitos da geada sobre a resposta espectral do milho safrinha em Dourados Autor(es): Santos, Jean Lucas Caramaschi dos; Barros, Jean Lucas Caramaschi dos Primeiro Orientador: Motomiya, Anamari Viegas de Araujo Abstract: The occurrence of frost is quite frequent in the Dourados region, especially during the autumn-winter season, and this is one of the main factors of decreased productivity in the region. One way to estimate the losses is through analysis using satellite images. This work aimed to evaluate the changes in the spectral response caused by frost in the corn second crop in the 2020/21 harvest, in Dourados-MS. A Geographic Database was prepared for the study area. The history of frost occurrence in the Dourados region was evaluated and the days on which the event occurred were identified. Images were obtained according to the physiological development of corn (Zea mays L.); the acquisition dates were determined based on the vegetative development of the crop until the frost incidence where the vegetative vigor began to decline. Sentinel 2 satellite images were used, in the visible to near infrared spectral bands, determining NDRE (Normalized Difference Vegetation Index in the Red Edge Band) and NDVI (Normalized Difference Vegetation Index) indices. The data were processed in QGIS 3.16.4 software in order to analyze the behavior of plants before and after frost. The occurrence of frost caused changes in the spectral response of the corn second crop in Dourados, MS, with a significant decrease in the values of NDVI and NDRE vegetation indices. Editor: Universidade Federal da Grande Dourados Tipo: Trabalho de Conclusão de Curso 2022-06-10T00:00:00Z http://repositorio.ufgd.edu.br/jspui/handle/prefix/5954 Título: Classificação supervisionada de imagens aéreas com drones para identificação de plantas daninhas Autor(es): Fiedler, Silas; Lopes, Arthur Pereira Primeiro Orientador: Cortez, Jorge Wilson Abstract: The use of remotely piloted aircraft, or drones, in agriculture is considered one of the most recent and innovative technologies being used. The present work aimed to analyze the behavior of data from RGB images obtained by drone to estimate weed areas in a property in the region of Caarapó-MS through vegetation indices and classification. The images were collected and processed in a free software WEBODM to make the orthomosaic. After this step, they were forwarded for processing in which the following analyses were performed in the QGIS software: calculation of the GLI indexes (Green leaf index); pGRVI (Passive Green Red Vegetation Index); and RI (Normalized Difference Red/Green Redness Index) as well as supervised analysis with the Dzetsaka complement in the Randon Forest, Support Vector Machines and K-Nearest Neighbors algorithms, to define the area of vegetation, straw, and exposed soil. Subsequently, the results obtained from the classification were compared by using the Kappa index, in wich demonstrate that using the KNN as an witness the classifications with higher similarity levels was between the RF and KNN, with 98,66 % hit rate between then. Editor: Universidade Federal da Grande Dourados Tipo: Trabalho de Conclusão de Curso 2023-03-27T00:00:00Z http://repositorio.ufgd.edu.br/jspui/handle/prefix/5952 Título: Propriedades físicas dos grãos de feijão mungo (Vigna radiata (l.) r. Wilczek) em diferentes teores de água Autor(es): Bitencourt Junior, Tony Jefferson Rodrigues; Pereira, Vinicius Augusto de Lima Primeiro Orientador: Siqueira, Valdiney Cambuy Abstract: Mung beans, popularly consumed in the form of sprouts and known as moiyashi beans, are commonly consumed in countries such as China, Japan and the USA, among others. Considering the international demand and its high nutritional value, there is the possibility of exporting this legume and, considering that its consumption is more accepted in the form of sprouts, to guarantee an internationally competitive production, the quality of the grain is fundamental. Among the factors that affect the quality of grains, water content is included, influenced by the post-harvest process, mainly drying. The different drying methods and conditions can modify the physical properties of the grains during the water loss process. Thus, the aim of this study was to evaluate the variation in specific mass, angle of repose, porosity and volumetric contraction of mung bean grains during this process. The grains were harvested and threshed manually, with a water content of approximately 35% b.u.. The drying process was carried out in an experimental dryer with a fixed layer, at a temperature of 38.5 ºC, until reaching a final water content of 0.13 dry basis (b.s), monitored by mass difference. The physical properties were analyzed with three replications for pre-established water contents. Apparent specific mass, porosity, angle of repose and volumetric contraction index were determined. The experimental data of volumetric contraction were submitted to a non-linear regression analysis, by the method proposed by Gauss-Newton The selected model was evaluated and defined through values of the observed parameters, such as mean relative error, estimated mean error, coefficient of determination and behavior of residual distribution (RD). The behavior of the angle of repose and the porosity of the mung bean grains was decreasing and linear during the drying process, opposite behavior to that of the specific mass, which increased with the reduction of the water content. The estimated specific mass values increased from 685.45 kg m-3 to 823.3 kg m-3. The angle of repose reduced by 5.6° during drying. The porosity behavior showed a range from 43.3% to 37.3%, between its initial and final water content. It was possible to conclude, for the volumetric contraction index, that the mathematical models Polynomial of second order, Balla and Modified Woods and Corrêa, were the ones that best fit and can satisfactorily describe the phenomenon of the volumetric contraction of the mass, for meeting all the criteria analyzed in the present work. Editor: Universidade Federal da Grande Dourados Tipo: Trabalho de Conclusão de Curso 2023-04-20T00:00:00Z http://repositorio.ufgd.edu.br/jspui/handle/prefix/5951 Título: Simulação do método de Monte Carlo na viabilidade econômica financeira de pulverizadores: autopropelido e drones Autor(es): Cruz, Renato Ferreira da Primeiro Orientador: Vergara, Walter Roberto Hernández Abstract: This study analyzes the economic and financial forecasting of two technologies used in addressing agricultural scarcity: self-propelled sprayers and spraying drones. Both technologies play significant roles in modern agriculture, particularly with the advent of Agriculture 4.0 and the growing need to optimize production processes. The research evaluates which of these technologies offers the best cost-benefit ratio across different operational scenarios, considering factors such as efficiency, operational costs, environmental impact Self-propelled sprayers stand out for their high operational capacity, being able to cover large areas in less time due to their robust and advanced application systems. However, they pose challenges related to high initial acquisition costs, maintenance expenses, and soil impact caused by weight and compaction. On the other hand, spraying drones provide greater precision in smaller or hard-to-reach areas, reducing input usage and minimizing losses due to drift. Nonetheless, their limitations, such as reduced load capacity and flight autonomy, present technical and financial challenges To perform this analysis, financial indicators such as fixed and variable costs, cash flow, Net Present Value (NPV), Internal Rate of Return (IRR), Benefit-Cost Ratio (BCR), and investment payback time were considered. Additionally, the Monte Carlo simulation was applied to measure the "confidence level," or the probability of achieving the calculated IRR and NPV values, taking into account risks, uncertainties, and variability in revenues, costs, and expenses included in the model. This approach provides a more robust probabilistic analysis of the expected results.The expected results indicate that drones are more efficient for small areas where precision is essential and operational costs are lower. Conversely, self-propelled sprayers demonstrate better economic performance in large properties due to their scalability and faster application times. The primary hypothesis is that the combined use of these technologies can maximize benefits, with drones complementing operations in specific regions while self-propelled sprayers ensure broader coverage and efficiency in larger areas. Editor: Universidade Federal da Grande Dourados Tipo: Trabalho de Conclusão de Curso 2024-11-29T00:00:00Z