Libelium stations installed at a cattle farm – FarmSustainaBl

The main objective of the project is to apply a holistic approach for decreasing the GHG emissions derived from intensive livestock farming by optimizing the livestock production. For doing this, the consortium will monitor the animal feed, the animal behaviour and characteristics and the stable environment. Specifically, IoT devices will be installed in the farm for monitoring key parameters of:
1) the stable environment (temperature, humidity, gas sensors (NOx, COx, CH4, NH3, etc.),
2) the animal (accelerometer, motion sensor, weight sensor, etc.) and
3) the feed (flow sensor, weight sensor, humidity sensor etc.).

Two libelium Plug&Sense Smart Environment PRO stations had been installed at a cattle farm for monitoring the temperature, relative humidity, PM10, PM2.5, CH4, NH3, CO. The monitoring of the farm environment using the IoT infrastructure (which includes the sensors and network devices for data transmission) will enable a precise environmental data collection. This component transmits data via wireless technologies to the data aggregator associated with the FarmSustainaBl Cloud. The parameters monitored on the farm premises will provide structured data, relevant for the substantiation of the adoption of business decisions with the purpose of process optimization at farm level. The collected data will be used to generate models and to simulate performance for different scenarios. Therefore, based on simulations and modeling, this service will allow the definition of optimal system configurations, in order to maximize the results in the zootechnical field.

On-farm wireless sensors transmit unique information to determine the source of GHG emissions and the costs associated with these emissions in the form of taxes. The service will also allow the implementation of smart contracts that guarantee the best prices for agricultural products resulting from low GHG emissions processes.