Engenharia Agronômica

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Author: search.filters.author.VALENTE, Matheus ManciniSubject: search.filters.subject.CIENCIAS AGRARIAS

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    Inovações Tecnológicas na Agricultura
    (Centro Universitário da Fundação de Ensino Octávio Bastos, 2023-06-30) ASSIS, Guilherme Júnior de; VALENTE, Matheus Mancini; LEAL JÚNIOR, Paulo Cesar Aparecido; GALLI, Marco Antonio
    This work presents an analysis of Fazenda Santa Rita, located in Espirito Santo do Pinhal, SP with an area of 300 hectares. The main activity carried out is family farming with the planting and cultivation of coffee plants, as well as their sale.
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    Inovações Tecnológicas na Agricultura
    (Centro Universitário da Fundação de Ensino Octávio Bastos, 2023-06-30) ASSIS, Guilherme Júnior de; VALENTE, Matheus Mancini; LEAL JÚNIOR, Paulo César Aparecido; SANTOS, Vanessa Gomes dos; GALLI, Marco Antônio; DEVECHIO, Fernanda de Fátima da Silva
    The objective of this project was to carry out a diagnosis on agricultural production properties and report their management practices, as well as suggest more appropriate management practices.
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    Projeto de Análise de Dados para Cafeicultura de Precisão
    (Centro Universitário da Fundação de Ensino Octávio Bastos, 2022-12-15) MARUDI, Rodrigo; COLLOZZO, Carlos; ALFREDO, Ana Beatriz; ALCÂNTARA, Carlos Eduardo da Silva; SANTOS, Diego Jonas dos; COMIM, Igor Henrique; PRADO, João Carlos Silva; VALENTE, Matheus Mancini; SILVA, Pedro Henrique Souza da
    The objective of our Integrated Project (IP) is related to the difficulty that Agronomy professionals are faced with analyzing agronomic data in a dynamics that can generate quick results for farmers. At the present moment, with the modernization of agriculture, and with the advent of agriculture 4.0, several tools are being implemented to improve the field, we can mention the use of drones, sensors, autonomous tractors. Etc. Therefore, these technologies are related to solutions for the operational of a property. However, targeting the segment strategic and agronomic aspects of agribusiness, we created a way of didactically analyzing technical data that are closely linked to decision making and consequently The obtained results. The aim is to correlate soil analysis data, leaves, climate, pests and diseases, that is, to correlate biotic and abiotic factors that are involved in agricultural production. Initially, in the Vs1 version that will be presented in this work, we will only deal with soil correction for the coffee crop, therefore, the object of our work is the Data Analysis Project for Precision Coffee Farming.