Desenvolvimento de um programa computacional para processamento de dados de força de mobilização do solo utilizando a função AREF

• Autor(a) principal: Montanha, Gustavo Kimura
• Data de Publicação: 2014
• Outros Autores: Guerra, Saulo Philipe Sebastião [UNESP], Sakai, Kenshi, Campos, Fernando Henrique, Favan, João Ricardo
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Repositório Institucional da UNESP
• Texto Completo: http://www.fatecbt.edu.br/seer/index.php/tl/issue/view/13; http://hdl.handle.net/11449/140618
• topic: Applied Computing; Nonlinear dynamics; Agricultural mechanization; Informática aplicada; Dinâmica não-linear; Mecanização agrícola

Information technology has become essential for a better management and competitiveness of organizations. Recently, the agricultural sector has excelled in the search for tools such as computer programs, geographic information systems, electronic data collecting systems, satellite navigation systems, among others. Along with these technologies, new models of temporal data analysis based on chaos theory came to support the nonlinear dynamic analysis of tillage operations such as chiseling and subsoiling. These operations demand high energy and consequently higher operating costs for farmers. Therefore, it is necessary a better evaluation and understanding of these operation dynamics. The objective of this work was to develop a computer program for processing soil mobilization force datum using temporal data analysis AREF (Autoregressive Error Distribution Function). For development of the computer program it was used the VBA (Visual Basic for Applications) language included into all Microsoft Office programs. Computer program enables charting, what permitted the identification of linear patterns in tillage forces as well as identify the parameters of AREF function α (y-axis intercept) and β (slope of the curve) which could subsequently be statistically analyzed. It was observed that the computer program has a simple interface for operation and can be used by agriculture professionals with basic computer knowledge.