METEOMIEL
Function OBSERVATORYS

REAL-TIME “OBSERVATORIES” UNDER METEOMIEL

The real-time honeybee observatories are “THE” great innovation from MeteoMiel.

We carry out a configuration at your request when subscribing to the PRO subscription. Once this configuration is complete, you can monitor all the honey flows from your different areas of interest in real time. If you have subscribed to the standard formula, only the honeydew from your department is available. The quality and reliability of data depends on the number of hives on the scale in the area considered. It is estimated that during the honey flow, there should be at least 30 to 35 hives on scales in the observed area.

Principles of the OBSERVATORY function

Each observatory is a large area equivalent to the size of a department. Only statistical data is accessible to the community. Statistical honey flow monitoring is meaningful if at least 40 hives participate in the calculation in real time.

The “OBSERVATORY” function presents the honey flow curve in real time for a chosen geographical area. To obtain this result, the following calculations are made every night: 

1 – Determination of the gains recorded on each hive for the day by removing the beekeeper actions.

2 – For each OBSERVATORY, we establish the statistical average of the honey flow

Example: The South East Lavender Observatory

Example of an observatory with the gain recorded in real time: here the monitoring of the lavender honeydew in the southeast in the Montélimar, Valensole and Albion areas. The curves show detailed monitoring of each honey flow: with the beginning, the end and the intensity.

South East Lavender Observatory – Geographical areas
South East Lavender Observatory – Real-time gain

MEDIAN, QUARTILE?

To properly use the observatories provided by MeteoMiel, you must be familiar with the concepts of median and quartile. These notions are commonly used in professional beekeeping, particularly for the current use of the “boxplot” present in all statistical studies (on Varroa for example). You will find many pages on the web, among others Wikipedia on the box plots, which clearly explain this concept.