Proposal of using exponentially weighted moving average for studies about longitudinal distribution of seeds

Abstract

Quality concepts are essentials  for survivor of agricultural companies, therefore, the importancy of improvement of  agricultural process is necessary for to get results economically, environmentally and socially viables. One quality dimension is to get a compliance quality, ie, ensure the exact execution than was planned. The subject of this paper is evaluable at longitudinal distribution between seed of a internal ring seeder.  The subject of this paper is to evaluate at longitudinal distribution between seed distributed for a internal ring seeder and to propose the use of statistical methodology exponentially weighted moving average (MMEP) like alternative for the quality control of seeders, when there is not normality in data. The results showed that the MMEP is adequate for quality evaluation of longitudinal distribution between seeds, as agreed with the data of descriptive statistic.