Estimation of the Best Measuring Time for the Environmental Parameters of a Low-Cost Meteorology Monitoring System

Abstract

Meteorology monitoring is crucial for implementing smart agriculture systems. These systems should employ as few power as possible in order to avoid workers going to the fields to replace batteries. Thus, the collection and forwarding of data should be reduced as much as possible. However, the time interval to be employed should be large enough for the data to be accurate and so as to avoid data loss. In this paper, we examine different time intervals for data acquisition utilizing our proposed algorithm for our low-cost meteorology monitoring system. Real data has been analyzed with time intervals from 5 to 60 min. Results that the best time interval is 25 min for temperature, 45 min for humidity and 5 min for light.