Browsing by Author "KANEKIYO, Jackeline Ayumi"

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    AUTOMAÇÃO ROBÓTICA: SOLUÇÕES SUSTENTÁVEIS E INCLUSIVAS: TECNOAGRO
    (Centro Universitário de Ensino Octávio Bastos, 2025-02-12) SOUZA, Carlos Alberto Collozzo de; ALMEIDA, Marcelo Ciacco de; OLIVEIRA, Rodrigo Marudi de; SANTOS, Mariângela Martimbianco; CUNHA, Caio Grilo da; MORONI, Gian Carlos de Freitas; CALIARI, Haryel Araújo de Oliveira; KANEKIYO, Jackeline Ayumi
    The object of this project consists of the development of a robot assistant sustainable agriculture, an innovative autonomous system that aims to optimize agricultural practices through advanced technologies. Aligned with the Sustainable Development Goal (SDG), a worldwide appeal to make planet Earth prosperous (UN, 2015). The proposal meets the following SDGs: Zero Hunger and Sustainable Agriculture (SDG 2), Consumption and Responsible Production (SDG 12) and Land Life (SDG 15). The robot will be able to identify and remove diseased plants with high precision, reducing the need for manual interventions and the use of chemical inputs, promoting thus a more sustainable and efficient approach to plantation management.Automation in agriculture has benefited from learning technologies machine and robotics to improve processes and optimize plant management. An example is the development of robots with advanced capabilities to identify and remove plants sick. This system follows a two-step approach: identification of diseased plants and precise removal of these plants. In the first step, the system is designed to identify diseases in plants specific, using machine learning. Convolutional neural networks (CNNs) are especially efficient for this purpose due to their ability to learn and recognize complex visual patterns (LeCun et al., 2015). These networks have been widely used in agriculture for tasks such as detecting diseases in crops, in which can analyze visual characteristics of diseases, such as spots and changes in leaf coloration (Ferentinos, 2018). The robot's cameras capture images in time real life of plants, which are then analyzed by CNNs to identify signs of diseases with precision. The training database used contains images of healthy and sick, which allows the system to distinguish with high accuracy between healthy plants and plants with signs of disease such as yellowing leaves, spots and wilting (Mohanty et al., 2016).
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    Gestão Financeira: Fiscon
    (UNIFEOB, 2022-12-07) VANZELA, Daniel Soares; FONSECA, Eduardo Riquena; MORONI, Gian Carlos de Freitas; SILVA, Giovana Chiodeto Teixeira da; CALIARI, Haryel Araujo de Oliveira; FERNANDES, Nicole Martins; OBLONCZYK, Vinycius Gabriel; KANEKIYO, Jackeline Ayumi; CUNHA, Caio Grilo da; BARBOSA FILHO, Fábio Luiz; MARCONDES, Renata Alencar; GLÓRIA, Mauro; TELLES, Sidney Gitcoff; VALLIM, Max Streicher; SANTOS, Mariângela Martimbianco
    The main purpose of this project is to create a flow control model of cash for a company. According to Zdanowicz (2001, p.23), “cash flow is the visual demonstration of income and expenses distributed by the future timeline”. O The system model is responsible for controlling the inputs, outputs and processing. In addition In addition, it must predict future balances, based on data previously provided. The importance of this project lies in the ability to manage the information obtained through entities and relationships, therefore, allows for increased productivity, error reduction and daily reporting.
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    Infinitech
    (Fundação de Ensino Octávio Bastos, 2023-11-30) CUNHA, Caio Grilo da; VANZELA, Daniel Soares; FONSECA, Eduardo Riquena; MORONI, Gian Carlos de Freitas; SILVA, Giovana Chiodeto Teixeira da; CALIARI, Haryel Araújo de Oliveira; KANEKIYO, Jackeline Ayumi; OBLONCZYK, Vinycius Gabriel; GLÓRIA JÙNIOR, Mauro; ANDRADE, Nivaldo; VALLIM, Max Streicher; OLIVEIRA, Rodrigo Marudi de; SANTOS, Mariângela Martimbianco
    The project proposal presented aims to help resolve some SDGs, with national and international impact. It consists of developing software that aims to increase and encourage the donation of recycling materials, warm clothing, food, blood and other essential items.