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The grain crops stored in silos can be damaged due to bad environmental conditioning inside. This means several losses in the production and a very high cost for the producer. To avoid these problems, it‟s required to monitor the environmental parameters of the grain storage. These are temperature, moisture, and the silo filling level. Currently there are systems able of monitoring these parameters, but its price is high and the technology used is expensive. Not found any commercial system able to monitoring temperature, humidity and estimate a filling level integrating all sensors on the same device and communicate with other independently. We want to check if it is possible to measure temperature, humidity and filling, transmitting that signal wirelessly from inside the silo by autonomous systems and using a low-cost technology. This project will concentrate on the characterization of the grain and air inside the silo as signal transmission environments, in the possibility of using that signal to estimate a filling level of the silo, and set the design based in system dimensions and physical characteristics of the silo where it will be installed.
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