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Please use this identifier to cite or link to this item: http://hdl.handle.net/1843/76944
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dc.creatorMarcos Prado Guimarãespt_BR
dc.creatorThalita Vieira Salespt_BR
dc.creatorEliezer Pereira Guimarãespt_BR
dc.creatorLucas Henrique da Silva Pampolinept_BR
dc.creatorMarco Aurélio Pires Campos Júniorpt_BR
dc.creatorTatielle Menolli Longhinipt_BR
dc.creatorElias José de Rezende Freitaspt_BR
dc.creatorPedro Henrique Ferreira Machadopt_BR
dc.date.accessioned2024-09-26T22:16:47Z-
dc.date.available2024-09-26T22:16:47Z-
dc.date.issued2023-
dc.citation.issue3pt_BR
dc.citation.spage234pt_BR
dc.citation.epage252pt_BR
dc.identifier.doi10.47172/sfdev2023pt_BR
dc.identifier.isbn979-8-9867349-4-1pt_BR
dc.identifier.urihttp://hdl.handle.net/1843/76944-
dc.description.resumoWater scarcity has been a major limiting factor in Brazilian agriculture, where the activity consumes a significant amount of water, energy, and agricultural inputs, besides degrading watercourses. Despite Brazil boasting a remarkable hydrographic network, it consists of a disproportionate distribution in various regions of its territory. One such region where agricultural activity is present is the municipality of Ibirité, focusing on the external community near the IFMG-Ibirité campus. Due to a great use of Paraopeba River Basin in irrigation, there is a need to manage water resources for this primary sector, aiming to meet various demands and avoid conflicts over water usage. Therefore, this present work aims to implement basic concepts of Precision Agriculture within the community surrounding the IFMG-Ibirité. Precision Agriculture is a modern approach to farming that uses data analytics and technology to optimize the use of resources in agriculture, including water, energy, and agricultural inputs. The approach uses sensors, drones, and other tools to collect data on soil moisture, temperature, and other factors that affect crop growth. This data is then analyzed using machine learning algorithms to provide insights that help farmers optimize their farming practices. The results of the present work have shown that the development of a monitoring and data acquisition system regarding irrigation (water consumption) and energy usage guarantee greater viability and efficiency in vegetable production, promoting a more sustainable economy. With the help of Precision Agriculture, farmers can optimize water usage in their fields, reduce energy consumption, and improve crop yields. In addition to improving the efficiency of farming practices, Precision Agriculture can also help farmers reduce the environmental impact of their activities. By optimizing water usage, farmers can reduce the amount of water that is wasted or lost to runoff, which can help protect watercourses and other natural resources in Ibirité region.pt_BR
dc.format.mimetypepdfpt_BR
dc.languageengpt_BR
dc.publisherUniversidade Federal de Minas Geraispt_BR
dc.publisher.countryBrasilpt_BR
dc.publisher.departmentENG - DEPARTAMENTO DE ENGENHARIA ELÉTRICApt_BR
dc.publisher.initialsUFMGpt_BR
dc.relation.ispartofSouth Florida Congress of Developmentpt_BR
dc.rightsAcesso Abertopt_BR
dc.subject.otherInovaçãopt_BR
dc.subject.otherAgricultura de precisãopt_BR
dc.subject.otherSustentabilidadept_BR
dc.subject.otherIrrigaçãopt_BR
dc.titleA prototype of irrigation and monitoring system for small producers: a case study in Ibirité-MG-Brazilpt_BR
dc.typeArtigo de Eventopt_BR
dc.url.externahttps://southfloridapublishing.com/dev2023/proceedings.pdfpt_BR
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