This paper presents a web-based data acquisition system developed by LabVIEW software program using for environment monitoring of poultry management. Measurement error and uncertainty analysis should be conducted accurately to maximize the reliability of this system. An algorithm for uncertainty analysis was proposed to estimate the sensor networks with calibration and validation processes fulfilling the standards of Guide to the Expression of Uncertainty in Measurement (GUM). For different environmental sensors, values of uncertainties were calculated with the methods of type A and type B evaluation through a case study. Environmental parameters including air temperature, relative humidity and CO2 concentration of a compartment housing for a small-group (n=90) of laying hens with a perch aviary system were measured in a 24-h period with an interval of 5 min. Results showed that the expanded uncertainty of the data acquisition system lies above 1.02℃, 5.54% and 67.8 ppm over the sensors data from air temperature, relative humidity and CO2 concentration with perch system for laying hens. Moreover, the relative uncertainty of this system was estimated by 15.9%. Therefore, the web-based data acquisition system has a considerable potential to ensure correct decision making when served for poultry production based on more reliable uncertaity analysis and data evaluation.