The Unión Agrícola Avellaneda (UAA) is a century-old cooperativethat develops industrial, agricultural and service activities, adding value to production, with a commitment to sustainable development.
InterraGEO is a mobile application that links geographic data, weather forecasts and data obtained from a network of meteorological stations in order to study how climate effects affect agricultural work.
The main objective was to develop an innovative mobile application that allows instant and useful information to be provided for the development of agricultural work.
At the same time, develop an internal system (backoffice) that allows managing various data and parameters to be used in the mobile application.
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InterraGEO allows you to define a user profile, indicating whether you are a producer or another type of user, and directs the information provided to suit the chosen profile.
The application allows you to work with various work areas, providing meteorological information and information on the convenience of carrying out tasks specific to each of them. It works with a network of its own meteorological stations and is integrated with climate applications. The application provides updated information and historical meteorological data.
We created a traffic light system that indicates three levels of suitability for each agricultural activity, such as spraying, planting, and harvesting, by analyzing the weather conditions tracked by the nearest weather station.
This system proved to be very valuable for users, as they can foresee the suitability conditions of their crops based on the weather forecast for the next 7 days.
The alerts for diseases were an important feature, as we can notify landowners that their crops may be suffering from some disease or issue.
We show them the temperatures and the hours of leaf wetness that could be affecting their crops. Additionally, we provide a summary of the last 10 days to indicate if there were unfavorable suitability conditions using weather forecasting application integration.
We used real data collected by the nearest weather stations to create a history of all the recorded climatic factors, such as outdoor air temperature, rainfall, humidity, wind direction, wind speed, and several other metrics.
Through a one-time step-by-step onboarding process, we asked users what type of users they were—whether they were producers, farmers, or ranchers—what types of crops or livestock they had, and the location of their work area. This helped us develop and establish the profile of their work area, including all the relevant climatic factors and the corresponding agricultural tasks.
