Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
February 17, 2026
Neural Networks and Rules-based Systems used to Find Rational and
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The objective of this study was to identify the consequences of the pandemic on Brazilian agribusiness and its relationship with the Gross Domestic Product (GDP). Through an analysis of spreadsheets published by CEPEA and through a study of the indebtedness and profitability indicators of eighteen companies in the agribusiness sector, listed in the non-cyclical consumption sector of B3 S. A. The collection of the financial data of the companies was through the Econometrics database. The research is characterized as descriptive, with a documentary procedure, the longitudinal cut of data analysis was carried out between 2019 and 2020, as it was the time frame with the greatest impact that the pandemic brought to the indicators, as for the approach, it is characterized as quantitative. To establish the relationship between the economic index (GDP) and the economicfinancial indicators of agribusiness companies, the research used Pearson’s Correlation as a statistical tool. The study findings indicate that 89% of agribusiness companies increased their revenues in the year of the pandemic, through the demand for agricultural commodities. A rise in the value added of the sector was evidenced by the insertion of new international markets, favored by the increase in the dollar. Agribusiness proved to be strong and effective through its share of 26.6% in the country’s GDP, this was its biggest mark in the historical series, showing that agribusiness is a resilient, promising and competitive sector even in the midst of a health crisis and economic.
Lucas Braga Barreto. 2026. \u201cImpacts of the Coronavirus on Brazilian Agribusiness and its Relationship with the Gross Domestic Product\u201d. Global Journal of Management and Business Research - D: Accounting & Auditing GJMBR-D Volume 24 (GJMBR Volume 24 Issue D1): .
Crossref Journal DOI 10.17406/GJMBR
Print ISSN 0975-5853
e-ISSN 2249-4588
The methods for personal identification and authentication are no exception.
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Neural Networks and Rules-based Systems used to Find Rational and
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The objective of this study was to identify the consequences of the pandemic on Brazilian agribusiness and its relationship with the Gross Domestic Product (GDP). Through an analysis of spreadsheets published by CEPEA and through a study of the indebtedness and profitability indicators of eighteen companies in the agribusiness sector, listed in the non-cyclical consumption sector of B3 S. A. The collection of the financial data of the companies was through the Econometrics database. The research is characterized as descriptive, with a documentary procedure, the longitudinal cut of data analysis was carried out between 2019 and 2020, as it was the time frame with the greatest impact that the pandemic brought to the indicators, as for the approach, it is characterized as quantitative. To establish the relationship between the economic index (GDP) and the economicfinancial indicators of agribusiness companies, the research used Pearson’s Correlation as a statistical tool. The study findings indicate that 89% of agribusiness companies increased their revenues in the year of the pandemic, through the demand for agricultural commodities. A rise in the value added of the sector was evidenced by the insertion of new international markets, favored by the increase in the dollar. Agribusiness proved to be strong and effective through its share of 26.6% in the country’s GDP, this was its biggest mark in the historical series, showing that agribusiness is a resilient, promising and competitive sector even in the midst of a health crisis and economic.
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