1st Open Call
EDI-2018-2-UBIMET. Quality control of weather observation data
We will derive an algorithm capable to detect incorrect values from weather stations while retaining realistic data.
For the past 3 years, we have done things like these with our sensors which measure several parameters from the air and the soil from farms. We detect sensors that are malfunctioning, sensors that are showing incorrect values or non common values from what they should be, etc. This opportunity could also help us enhance these algorithms further while also implementing and detecting new risk alerts algorithms, calculations and analytics.
The one and only stop for Precision Agriculture