FORECASTING PRODUCTIVE TRAJECTORY WITH A FOCUS ON AGRIBUSINESS: A CASE STUDY IN THE MUNICIPALITY OF PARAGOMINAS – PARÁ

Code: 221211340
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Título

FORECASTING PRODUCTIVE TRAJECTORY WITH A FOCUS ON AGRIBUSINESS: A CASE STUDY IN THE MUNICIPALITY OF PARAGOMINAS – PARÁ

Autores(as):
  • David Costa Correia-silva

  • Edson Magalhães da Costa

  • Isadora Mendes dos Santos

  • Jakelyne Machado Lima Silva

  • Marcus de Barros Braga

  • Rafael da Silva Fernandes

  • Gilberto Nerino de Souza Junior

DOI
  • DOI
  • 10.37885/221211340
    Publicado em

    29/12/2022

    Páginas

    632-643

    Capítulo

    44

    Resumo

    The objective of this work is to demonstrate the productive trajectory of the city of Paragominas with a focus on agribusiness, including the ability to make forecasts for the next 4 years. Annual data were collected (from 1985 to 2019) of the variables: Area of Forest, Area of Pasture, Area of Soybean, Area of Temporary Crops, Number of Agricultural Establishments, Quantity of Agricultural Jobs. Forecasting was done with the help Auto-Regressive Integrated Moving Average (ARIMA). The study seeks to help the municipal public and private management indicating the productive trajectory of agriculture in the municipality in the context of sustainable development. The descriptive results showed that the use of land has presented dynamic of production in the transition from pasture activities to agriculture, mainly soy. Establishments and formal jobs have represented a correlation with the expansion of soy production in the analyzed period. It was also possible to carry out other analyzes based on consolidated data projections of the municipality, which on the one hand suggests a process of scientific learning through statistical techniques correlated to socioeconomic and environmental studies, and on the other hand, the opportunity of learning as a hypothesis for the trajectory of productive land use and agribusiness.

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    Palavras-chave

    Cross-validation, Data Mining, Evaluation of parameters, Selection criteria, Time-Series Forecasting.

    Publicado no livro

    OPEN SCIENCE RESEARCH IX

    Licença

    Esta obra está licenciada com uma Licença Creative Commons Atribuição-NãoComercial-SemDerivações 4.0 Internacional.

    Licença Creative Commons

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