In recent years, high-level technification is reaching agriculture. The new models of agricultural machinery increasingly incorporate high-tech complements that offer the farmer very high levels of functionality. However, this technology has three difficult barriers to overcome: 1) They are closed systems in which any alteration of the provision of technology and services is difficult to carry out. Thus, for example, if our tractor provides us with a support for the guidance in labor on the basis of the use of data provided by Google Maps (most commonly used provider) and this data is of low resolution in our work area, we will hardly be able to change to another data provider that gives us a better resolution. 2) These technological solutions are integrated with the new machinery models. However, it is very difficult to provide older models with these capabilities. Since the amortisation periods of agricultural machinery are very long, it can take many years before a farmer changes his machinery and equips himself with them. In cases where there are solutions on the market that can be incorporated into older models, they have a high cost. 3) Finally, when agricultural machinery is equipped with all these capacities (either because they come as standard, or because they are incorporated later), there is one last barrier: communications (rather the lack of them). Thus, today there are many models of tractors that come equipped with rollover sensors. However, if it is located in a geographical area where the mobile phone signal barely arrives (and therefore does not have 3G coverage), it will hardly be able to notify a telecare center of the emergency that occurred. The proposed solution aims to serve a series of functionalities identified after an analysis of market, competition, applicable regulations and needs detected in the described scenario. Four main areas of action are identified: Security; the operator suffers a fading on the tractor that continues to operate. The system detects that the engine takes excessive idle time without movement and launches a warning. Registration of work; automation of the registration of all activities in accordance with European regulations and Royal Decree 1311/2012. Monitoring of machinery; a cooperative serves slurry in cisterns to other cooperatives throughout Spain. Information on the level and location of the tank would optimise efficiency and quality of service. Location-based services; at the request of a farmer, a technician travels to assess the status of a given crop and the actions to be applied. There is no data coverage and the system is able to guide the technician and record the information. Initially there is a scenario where several sensors have been arranged on the vehicle and agricultural machinery (such as accelerometers, gyroscopes, load cells, ultrasound sensors, RFID readers) that are connected forming a local wireless network that reports information that is stored in the cloud and that is processed and analysed to provide value-added services to accessible users via PC, tablet or smartphone. It will be a modular and scalable system, adjusting the number of sensors of each vehicle or machinery to the specific needs. The sensors shall be designed according to low cost criteria and shall be compatible with machinery of any manufacturer. Standards will be used and communication protocols will be open, allowing third parties to design sensors compatible with the platform. an end-user application, the platform will have a public API (Application Programming Interface) to integrate into third-party applications.