Sistema de Variables Meteorológicas

The following project was developed at the ORT Software Factory Laboratory (ORTsf) to address the need of an agricultural establishment owner to obtain accurate meteorological information in order to optimize their operations and strategic decisions. The solution integrates software and hardware technologies, centralizing the collected information to store, process, display it in a user-friendly manner, and generate notifications for relevant events. The data is stored on a mini PC and transmitted to a server.

For information gathering, the team used document analysis, brainstorming sessions, and interviews. They followed the SCRUM methodology with an iterative incremental cycle to manage the project.

The weather station consists of two main components:

1. An array of sensors that measures meteorological variables. The team used the Ambient Weather model 2902 as a prototype.
2. The weather station base, which receives measurements from the array via SDR (Software Defined Radio), stores them locally, and then sends them to the system.

The backend of the system is developed in C# .NET using an MVC (Model-View-Controller) architecture to separate the UI layer, business logic, and interaction with the InfluxDB database.

In summary, the team has built a functional solution that addresses a specific problem in the agricultural industry by integrating low-cost hardware and software to provide real-time information to the producer.

Authors

Calvete Steffen, Guillermo Andrés | Camaño Rodríguez, Gonzalo Rafael

Score

94/100

Reviewers

Garbervetsky, Diego David | Garbarino Alberti, Helena