AgroExact helps growers make better decisions using accurate, local weather data. Through weather stations, sensors and smart software, AgroExact provides up-to-date insights into weather conditions. This data supports general planning, irrigation advice and crop protection. By connecting with specialized platforms, optimal advice is created based on reliable, local and current measurements for more efficient cultivation decisions, risk reduction and more sustainable use of water and resources.
AgroExact supports growers and agricultural businesses in making better, data-driven decisions by providing accurate and local weather data. In agriculture, weather conditions play a major role in both daily and strategic decisions. These include planning fieldwork, determining the right moment for irrigation, assessing crop risks and carrying out crop protection measures. By making up-to-date and reliable weather information available, AgroExact helps to better substantiate these decisions.
Weather conditions are mapped using AgroExact’s own network of weather stations. Anyone who registers in the app as a paid subscriber is given the opportunity to use a weather station on loan. In the app, users can view measurements from the network. Growers can use these insights for general planning, such as determining suitable moments for fieldwork, sowing, harvesting or other cultivation activities. By taking local weather conditions into account, work can be planned more efficiently and unnecessary risks can be reduced.
In addition, AgroExact offers options to expand with specialist soil and crop sensors that measure actual conditions in the field. This helps growers use water more efficiently, reduce costs and provide crops with sufficient moisture at the right time. Specialist irrigation advice therefore contributes to more sustainable and effective cultivation.
Both the measurements from the weather station network and individual sensors can be connected to platforms for further specialist advice on crop protection. Weather conditions have a major influence on disease pressure, infection risks and the optimal timing of spraying. With the right, reliable and local input, advisory models can be used to their full potential for cultivation that is as sustainable and resilient as possible.