Industry data


Weather data consists of weather measurements we gather from L-tek weather sensors that are installed on wood objects. Using this data, we calculate the moisture content in wood which indicates its quality and functionality. These measurements and calculations are visualized on sensor dashboard. Used terms:

  • Temperature: Temperature of wood [°C]
  • Resistance: Resistance of wood to rot [GΩ]
  • Moisture content: Ratio of water content to dry content in wood [%]
  • Device ID: Unique sensor identifier. Used to track data from a specific wood sensor
  • Tag: A custom keyword assigned to a sensor device. Used to describe the item's environment

How to use

In order to use the dashboard to track data from your own wood objects, you need to first subscribe to a sensor device. You can do that by adding a device on data management site. Optionally, you can add multiple device IDs at the same time, separated by a comma.

Every device needs to have one or more tags. These will be used to select and group specific sensor devices when displaying data on dashboard. They can describe when the object was created, where it's positioned or any other details regarding that object.

Research data


Research data describes decay of different types of wood and contains measurements of temperature and moisture content over time. You can upload your own research data in csv format and analyze it on dashboard. Used terms:

  • Decay: Decomposition of wood as the result of rot
  • Dose - response: Describes the magnitude of the response of an organism, as a function of exposure (doses) to a stimulus after a certain exposure time
  • Rot: Wood decay caused by one of several species of fungi that digest parts of the wood
  • Batch: Collection of decay data and measurements of temperature, resistance and moisture content over time

How to use

For correct upload, research data needs to be in proper format. Example of the format is available on uploader by clicking on any of the two buttons on left hand side. You can also download these two files for further examination or to upload and use them yourself.
Once you upload the data, it is available for visualization on the dashboard. It allows you to follow wood decay and dose accumulation throughout the years and check how different models fit your data with specific evaluations ( R2, MAE, RMSE ).

Weather data


With weather data you can track how well the quality of your wood will change through time by using historical weather data with different variables such as temperature, cloudiness, humidity, precipitation etc.
This data can be gathered and uploaded manually by yourself or you can directly connect and download it from ARSO weather stations. Used terms:

  • ARSO: Slovenian agency for environment
  • Weather station: an observation post where weather conditions and meteorological data are observed and recorded.

How to use

By using the prediction form you can input your own variables, such as type of the wood, measurements date range and optional inputs like temperature correction variables and decay images.
You can also select the specific weather data, which will be used to predict and visualize moisture content in wood and received daily dose.

There are multiple ways to select your weather data source. If you uploaded data manually, you can select the weather station by clicking Uploaded data and then Valid stations dropdown menu. Here you can also specifically choose any of the available ARSO weather stations.

Alternatively, by clicking Nearest station, you can input name of your object and press Show nearest station. This will display 3 options with different weather stations that are closest to input location, along with their distance.

Last option is to directly select your location on a map. This can be done by clicking on Map selection which displays a map of Slovenia. It shows where all ARSO weather stations are positioned and currently selected location. Clicking on different locations will update fields below the map, which contain geographical latitude and longitude.