Click on “Download PDF” for the PDF version or on the title for the HTML version. If you are not an ASABE member or if your employer has not arranged for access to the full-text, Click here for options. Not Conventional Database Applied to Agrochemicals and Sugar-cane SystemsPublished by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan www.asabe.org Citation: Pp. 593-598 in Proceedings of the World Congress of Computers in Agriculture and Natural Resources (13-15, March 2002, Iguacu Falls, Brazil) 701P0301.(doi:10.13031/2013.8386)Authors: M. S. M. G. Vaz, M. G. Canteri, D. C. Foltran Jr., E. Gueiber, E. Peron, F. S. Torres, V. Schastai, L. M. Döll Keywords: decision support systems, agribusiness, information systems Information technology applied to agriculture allows control of productive processes through combat of disorders occurred in agricultural crops. It also allows to reduce the indiscriminate use of agrochemicals. The work has the objective to present the development of a not conventional database applications related the agribusiness. The Logic Works ERwin 3.5.1 was used for data modeling and the Microsoft SQL Server 7.0 was opted for database management. The programming language used was Borland Delphi 4.0. The result was development of two systems: the SINDOC Information System for Sugar Cane Diseases and the SINDAG Information System for Agricultural Defensives. The SINDAG organizes data inherent to the agricultural defensives and keeps all the necessary information for the use of the most varied types of agrochemicals, for instance: instructions of use, dose, beginning, number and times of application. The SINDOC apply not conventional database for control of sugar cane diseases. The systems can be executed in four architectures: centered, PC, client/server and distributed. They store extensive texts and images to database management, what became the systems user friendly, providing an illustrative environment. The information, either about control of a sugar cane disease or about a agrochemical for a crop, can be considered as a money maker. This represents the use of the not conventional database technology applied to the agribusiness. (Download PDF) (Export to EndNotes)
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