01. Universidade Federal Rural de Pernambuco - UFRPE (Sede)
URI permanente desta comunidadehttps://arandu.ufrpe.br/handle/123456789/1
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15 resultados
Resultados da Pesquisa
Item Relatório final de atividades do Estágio Supervisionado Obrigatório em Engenharia Florestal: Gestão e Monitoramento Ambiental Urbano em Recife, PE(2022) Calixto, Shermesson Henrique Mota; Santos, Marcone Moreira; http://lattes.cnpq.br/3284707164193715; http://lattes.cnpq.br/3349917891877024Item Monitoramento para automação de processos em cultivos hidropônicos: uma revisão bibliográfica sistemática(2024-03-07) Silva, Iracema Carla Calixto da; Sousa, Emanoel Di Tarso dos Santos; http://lattes.cnpq.br/3682039140895268; http://lattes.cnpq.br/8422413675003216In the current context of global hunger and exponential population growth, implementing technological practices to increase agricultural productivity and reduce waste is crucial. This paper conducted a bibliographic review on the use of monitoring technologies for environmental variables and nutrient solution in hydroponic farming, aiming to identify advancements in process automation for agricultural production in this modality. 82 sources were consulted between 2010 and 2023, identifying 16 works that used hardware and software technologies for automation in hydroponic systems. Controllers like ESP32, Arduino Nano, and Arduino Mega were employed to monitor and control environmental and nutrient solution variables, while peristaltic pumps and solenoid valves ensured precise dosing and water flow control. Software such as C++, Dart, Matlab, Arduino IDE, LabView, Blynk, and ThingSpeak were used for programming and data integration, while online platforms like Firebase, Flutter framework, and MQTT were employed for real-time data storage, visualization, and communication. Although offering advantages such as increased efficiency and resource savings, the use of these technologies faces significant challenges, including the need for specialized technical knowledge and connectivity dependence.Item Desenvolvimento de uma infraestrutura em nuvem para monitoramento de ninhos de tartarugas marinhas(2024-03-08) Silva, Wanderson Moura da; Medeiros, Victor Wanderley Costa de; http://lattes.cnpq.br/7159595141911505This Course Completion Work proposes a monitoring system for sea turtle nesting, using the ThingsBoard platform to create a monitoring dashboard. The study seeks to integrate Internet of Things (IoT) technologies and community involvement strategies to improve the conservation of these species, whose existence has long been threatened by various predatory factors. The application on the ThingsBoard platform makes it possible to obtain essential data in real time, such as movement and temperature from devices installed inside the nest. The implemented dashboard will provide a clear visual representation of the status of each monitored nest, automatically generating an alert when critical events occur, such as an excessive increase in temperature or movements that cause the incubated eggs to hatch. The dashboard, in addition to providing crucial information for researchers and environmentalists, will be accessible to the local community through an exclusive mobile application. The project review encompasses ongoing improvement strategies, emphasizing collaboration with local experts and active community participation to optimize the effectiveness of the monitoring application. The central role of the dashboard developed on the ThingsBoard platform is to receive and present data from devices installed in turtle nests, to monitor temperature and movement. This system facilitates understanding and analysis of data, providing insights into the possibility of egg hatching, and contributing to the effective conservation of sea turtles.Item Desenvolvimento de um dispositivo sensor para monitoramento de ninhos de tartarugas marinhas(2024-03-10) Arruda, André Luiz Ribeiro; Medeiros, Victor Wanderley Costa de; http://lattes.cnpq.br/7159595141911505; http://lattes.cnpq.br/7895899500265397The preservation of sea turtles is crucial for marine ecology and global biodiversity, as they play important roles in maintaining coastal and marine ecosystems. Currently, some non-governmental organizations dedicated to this cause monitor nests on beaches along the brazilian coast manually, which requires time and human resources. To streamline this process, this study proposes the implementation of an IoT device equipped with sensors for monitoring sea turtle nests. Utilizing Long-Range, Low-Power (LoRa) communication technology, the device aims to enhance monitoring efficiency and accuracy, thereby contributing to the conservation of these vulnerable species.Item Desenvolvimento de um aplicativo móvel para suporte ao monitoramento de ninhos de tartaruga marinha(2024-03-08) Falcão, Beatriz Carvalho; Medeiros, Victor Wanderley Costa de; http://lattes.cnpq.br/7159595141911505It is notable that the degradation of marine life has been a heavily discussed topic in recent decades, especially in regard to sea turtles. Human actions have caused serious damage to these species in their natural habitat. However, it is possible to mitigate these negative impacts through the use of digital technologies, in the context of developing solutions that aim to preserve these vulnerable species. This project targets the implement of an effective solution that provides support in the monitoring of sea turtle nests, using the Thingsboard mobile application, aiming to facilitate the monitoring activity and the accuracy of the processes involved.Item Disseminação de técnicas de baixo custo para monitoramento pluviométrico em região semiárida de Pernambuco e fortalecimento da pluviometria social(2018) Almeida, Thayná Alice Brito; Montenegro, Abelardo Antônio de Assunção; http://lattes.cnpq.br/7947714302950574; http://lattes.cnpq.br/3208512088973806Item Identificação operacional de áreas com potencial de regeneração e/ou recuperação vegetal nas mesorregiões Sertão e São Francisco pernambucano(2023-07-17) Gouveia, José Rafael Ferreira de; Nascimento, Cristina Rodrigues; http://lattes.cnpq.br/9289129949520610; http://lattes.cnpq.br/5471553264542605Fire has been used for many years in Brazil, serving for various purposes. However, if handled wrongly, it can cause fires with immense damage to the environment. The Sertão and São Francisco Pernambucano mesoregions are susceptible to the occurrence of fires, since the predominant biome is the Caatinga, semi-arid climate and low rainfall. This article aims to characterize and quantify hot spots and operationally identify fires in the mentioned mesoregions in the period from 2014 to 2020, in the driest months of the year, as well as the power of plant regeneration. The images from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor on board the TERRA platform, products MOD14A1, MOD09GQ, MOD13Q1 and MOD09Q1 were used in order to characterize the areas affected by hot spots, analyze the Normalized Difference Vegetation Index (NDVI) and implement a script on the Google Earth Engine (GEE) platform for the operational identification of areas with potential for plant regeneration. Results show an increasing behavior in the number of hot spots, with a reduction in the year 2020. The year 2019 had the highest number of regenerated areas, with 37. The script proved to be effective with minimum hits of 56%, being in mostly greater than 75%. In addition, the maximum errors were 25% of omission in October 2020 and 43.75% of commission in September 2016. In this sense, the techniques employed were able to detect the regions affected by the fires, as well as their potential for plant regeneration.Item Avaliação de algoritmos de rastreamento no problema de detecção de pessoas no mar(2023-09-13) Nascimento, Ramicés Moisés do; Macário Filho, Valmir; http://lattes.cnpq.br/4346898674852080; http://lattes.cnpq.br/0247140467691140It is known that shark attacks are a constant fear for the population on the beaches of Pernambuco. Many of these attacks are fatal, which calls for some action to be taken, considering that Pernambuco beaches attract thousands of tourists each year. Therefore, researchers from UFRPE initiated a study aiming to develop a system for tracking people in the sea, which would make it possible to alert lifeguards when individuals exceed a designated safe area on the beach, as well as allocate a greater number of these professionals in areas with a higher concentration of people. The system was divided into three stages: image segmentation, detection of beachgoers, and tracking of individuals. This work focuses on the third stage. Tracking people is a complex task with high computational costs. Problems such as changes in lighting conditions, alterations in the direction of targets, and variations in the background are just a few of the difficulties that can be mentioned. Thus, the objective of this research is to evaluate six people tracking algorithms found in the literature using beach images. Firstly, a database of ten videos recorded at Boa Viagem beach in Pernambuco was manually labeled. Then, six algorithms were selected for evaluation. Subsequently, the output of each frame provided by the algorithm was compared with the previously labeled data, and an average was calculated. Overall averages were then obtained to assess the algorithm’s accuracy and execution time. Finally, the best algorithm was chosen for optimization using a genetic algorithm, and any improvements in the results were verified. CSRT was the algorithm that obtained the best result and after optimization with the genetic algorithm, an improvement of 20% in its accuracy was obtained.Item Dinâmica do risco de incêndios sob efeito do El Niño em paisagem do bioma Caatinga em Petrolina - PE(2023-02-17) Feitosa, Márcio Faustino; Silva, Emanuel Araújo; Souza, Ioneide Alves de; http://lattes.cnpq.br/0383867840261318; http://lattes.cnpq.br/2765651276275384; http://lattes.cnpq.br/7669915736150355Remote sensing techniques have been used since the 1960s to work on a particular object or specific area. Over time, technologies have gained improvements and new software and high resolution satellites have emerged. The Landsat-8 satellite can capture scenes up to 705 km away from earth, with a percentage of 10% of clouds, these scenes can be processed and studied for a certain purpose, among these was the dynamics of fire risk under the effect of El Niño in landscape of the Caatinga Biome. Therefore, it is intended to study the vulnerability of Caatinga and the use of monitoring technologies. The objective of this work is to evaluate the influence of El Niño on the dynamics of fire risk under the landscape of the Caatinga biome in Petrolina-PE, monitoring the risk of fire in relation to the severity of El Niño. Images of the Lansat-8 satellite in the municipality of Petrolina-PE were obtained from the USGS website. The following criteria were adopted for image selection: Data from 2015 to 2020, counting from August 1st to December 31st, at times when there are few precipitations, few clouds and high temperatures due to the warmer months. The tool in data processing was Qgis software, a free license software, indicated for those seeking high quality in academic work in the area of Remote Sensing. In the interval of these years, six fire risk maps were obtained. Togenerate the forest fire risk maps and adopted the AHP methodology, widely used by several authors. Where we obtained eight variables: hypsometric map, land use and occupation, slope orientation, slope, road system, precipitation, surface temperature and vegetation index of the normalized difference. According to the results, a temporal analysis of fire risks was obtained, proving that the years 2015 to 2018 had a continuous increase, and in 2019 and 2020 there was a fall in fire risk. Between these last years there was an El Niño and a La Niña and 2020 was the year that the pandemic occurred, that is, there were few transport flows on the highways, causing low risk of fires.Item Uso de geotecnologias no diagnóstico da mata ciliar do Reservatório Engenheiro Francisco Sabóia, Ibimirim - PE(2023-04-13) Silva, Jaimeson Jardel França da; Duarte, Simone Mirtes Araújo; Vasconcelos, Géssica dos Santos; http://lattes.cnpq.br/0802316667174979; http://lattes.cnpq.br/5876968040869585; http://lattes.cnpq.br/9465682002571649With the development of cities, disorderly occupations have grown exponentially, impacting many vegetation formations, especially riparian forests, even though they are still protected by law for being in Permanent Preservation Areas (PPAs) and presenting great importance in maintaining the quality and stability of water bodies, such as in artificial water reservoirs, which provide society with regulation and water supply, especially in regions with water scarcity, such as the Caatinga. Therefore, the present study aims to diagnose the situation of riparian forests in the PPA strip around the Engineer Francisco Sabóia Reservoir, located in the municipality of Ibimirim, in the state of Pernambuco, seeking to understand and describe the degrees of degradation and conservation, verifying their adequacy in relation to current environmental laws, in a GIS environment. Through documentary research, the absence of licensing was verified, and consequently, the corresponding PPA strip was not defined. Therefore, for the study, a measurement of 100m was considered according to CONAMA Resolution 302/2002. High-resolution images from the CEBERS 4A satellite were used. The data were manipulated in QGIS software to create thematic maps of land use and occupation, through supervised classification of five classes: water, consolidated vegetation, shrub vegetation, agriculture, exposed soil, the NDVI map to quantify the percentage of preserved and degraded riparian forest, and the slope map to understand the altimetric configuration of the region. As results, the land use and occupation map showed the presence of agricultural activity with approximately 22%, as well as approximately 9% of exposed soil, 9% of consolidated vegetation, 25% of shrub vegetation and water 35%, evidencing non-compliance with the legislation. In addition, the NDVI calculation clearly indicated the fragility of vegetation throughout the extension of the PPA, with few fragments of vegetation cover and a lot of area with dead or water-stressed vegetation. It is concluded that this diagnosis has results capable of guiding effective management with planning based on territorial planning and restoration actions of the reservoir's PPAs, providing reflections on the environmental situation of an area with such environmental, economic, and social importance for a severely degraded biome.