Meteobot

Meteobot is a sophisticated weather station app tailored specifically for precision farming. It delivers vital real-time and historical weather and soil data directly from your or a nearby weather station, enabling you to monitor and manage agricultural conditions with exceptional precision.

With this app, users can access detailed current data on parameters such as rainfall (both amount and intensity), soil temperature at various depths, air temperature, humidity, pressure, wind speed and direction, and leaf wetness. These updates are provided as frequently as every 10 minutes, ensuring you have the most current information to make informed decisions regarding your farming operations.

One key advantage of this platform is the substantial storage of historical data that it provides. This data is stored securely in the cloud, allowing unlimited access without the risks and gaps commonly found in manual record-keeping. This feature is invaluable for tracking long-term trends and making strategic agricultural decisions.

Moreover, the app offers precise local weather forecasts up to 10 days in advance. The forecasts for the first two days are detailed hourly, and for days three to ten, updates are provided every six hours. These forecasts utilize data from one of the world's leading weather models, ensuring high accuracy with a spatial resolution of 8 km.

Additionally, it calculates essential agronomic indicators like rain sums, temperature sums, and leaf wetness duration, based on the collected data. It also provides agrometeorological history for your outlined field boundaries, helping you analyze past weather impacts on your crops.

Lastly, the app integrates meteorological alerts directly into the platform. These alerts include notifications for conditions like high soil temperature or intense precipitation, which are critical for preventing potential damage to crops due to adverse weather conditions.

Meteobot stands out as an indispensable tool for farmers seeking to leverage detailed meteorological data for optimal agricultural productivity.