Modelagem matemática de aferições de temperatura com aplicação em graus-dias para cultura da cana-de-açúcar

• Autor(a) principal: Isler, Paulo Roberto [UNESP]
• Data de Publicação: 2012
• Outros Autores: Silva, Helenice de Oliveira Florentino [UNESP], Martins, Dinival [UNESP]
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Repositório Institucional da UNESP
• Texto Completo: http://dx.doi.org/10.17224/EnergAgric.2012v27n3p97-114; http://hdl.handle.net/11449/137153
• topic: Temperature; Degree days; Mathematical modeling; Sugarcane; Temperatura; Graus-dia; Modelagem matemática; Cana-de-açúcar

Brazil is a major agricultural producer, in recent years the production has grown and the area suitable for cultivation has not yet been fully utilized and it is estimated that half area suitable for agriculture is being used. But, due to the large size of the country, alongside the rapid development and intense climate changes have brought along great technical, economic and administrative problems. Mathematical modeling has been used as a tool to assist in decision making, aiding in the search for solutions to these problems through increased accuracy and therefore agricultural profitability. This paper proposes the use of mathematical modeling techniques of daily temperature to determine mathematical equations that describe the daily temperatures in such a satisfactory manner, that the curves described by equations assist in the calculation of Degree Days, which is an important Measurement in production agriculture. We used the method of least squares and SPLINE interpolation to four points. With these functions degree days were calculated for the cultivation of sugarcane in a one-year period and compared were with current methods. Both methods showed better performance by reducing errors by approximately 50%.