Currently, the cost of measuring turbulent fluxes is extremely high. Thus, the development of models and theories that use robust and low-cost equipment to estimate turbulent fluxes is becoming an increasingly interesting line of research. This paper describes the difficulties encountered throughout the study in estimating evapotranspiration. A set of experiments, (already published), were carried out to estimate average sensible and latent heat fluxes every 30 minutes. These experiments used different models based on the Surface Renewal Analysis (SR); the results are presented in this paper. Considering the fundamental importance of water in the agricultural industry, this article addresses the issue of implementing SR in the protocol for data acquisition-transfer in a network of agro-meteorological stations.