TCC - Engenharia Agrícola e Ambiental (Sede)
URI permanente para esta coleçãohttps://arandu.ufrpe.br/handle/123456789/430
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Resultados da Pesquisa
Item 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 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 Análise de degradação ambiental na bacia do Rio Moxotó através de imagens de satélite(2023-04-19) Aires, Giovanna da Cunha; Nascimento, Cristina Rodrigues; http://lattes.cnpq.br/9289129949520610; http://lattes.cnpq.br/1000446236815556The disorderly exploitation of natural resources. the inappropriate use of soil and irrational deforestation has been causing numerous environmental problems, which leads to environmental degradation, with that remote sensing has been gaining space through environmental monitoring in space and time with efficiency and at low cost, allowing planning and decision-making for sustainable use of natural resources. In view of this, the objective was to analyze, through a time series of LANDSAT satellite images, spaced at intervals of five years, the environmental degradation suffered in the Moxot6 River Basin. The climate analysis was based on a monthly series of twenty-one years of data (2000-2021), using the Quantile technique. The satellite images analyzed were from MapBiomas and processed in QGIS software. The change detection analysis was also carried out through the difference image, resulting from techniques based on the observation of the pixels and the change that occurred with them over time. With this, it was observed that the rainy season in the Moxoto River Basin lasts four months, from January to April, representing about 72% of the annual rainfall and presenting an average of total annual precipitation of 482.65mm. Through the analysis of land use and cover, it was possible to verify the growth of agriculture in the basin, through the classes of temporary crops, with a growth of 97.13% between the years 2005 and 2021, and the classes of perennial crops and areas of pasture, with growth between 2000 and 2021 of 97.64% and 5.35% respectively. The savanna vegetation is the most extensive in the basin, however the areas of forest formation are a minority in the basin, thus having a low presence of dense vegetation. Regarding the degradation of the Moxot6 River Basin, there was a decrease of 98.74% from the year 2000 to 2019, with the municipalities most affected by the degradation being Ibimirim-PE, Inaji-PE, Custodia-PE, Math Grande-AL, Piraconha- AL and Delmiro Gouveia-AL. The regeneration classes showed an increase of 32.63% from 2000 to 2019. Through the difference image analysis, it was also possible to verify permanence of recovered areas, however the transition from degraded to recovered areas was lower than expected. With that, remote sensing through LANDSAT satellite images, enabled the classification and analysis of land use classes, from the years 2000, 2005, 2010, 2015, 2020 and 2021, as well as the analysis of degraded and recovered areas from the years 2000, 2005, 2010, 2015 and 2019 satisfactorily so that it is possible to carry out adequate monitoring of the transformations undergone by the Moxoto River basin. With the studies, the need for environmental recovery projects in the basin was verified, in addition to constant monitoring to assist in public policies for this region.