Abstract
This paper describes a device for monitoring the slurry level in storage tanks. In particular, it describes the inference engine used within the StorEyes software. This software was developed by the Authors to interpret and manage data collected from measurements taken by ultrasonic or pressure sensors mounted on slurry tanks for continuous monitoring of the stored effluent level. The monitoring device consists of a data-logger that uses a GPRS device for the wireless transmission of data to a Farm Information System server, a buffer for the temporary storage of data in case of malfunction of the farm network, and a GPS receiver. The inference engine consists of a set of algorithms used to derive from raw measurements (usually in V) intelligible information about the loading/unloading events in storage facilities. The inference engine has been tested and calibrated through two years of acquisitions at two pilot farms with different slurry tank loading and unloading management systems.
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