The main objective of the project is to apply a holistic approach to reduce GHG emissions derived from intensive animal breeding by optimizing farm production. For this, the consortium will monitor the feed, behavior and characteristics of the animals and the stable. More specifically, IoT devices will be installed at the farm to monitor the key parameters of:
1) stable (temperature, humidity, gas (NOx, COx, CH4, NH3, etc.));
2) animals (accelerometer, motion sensor, weight sensor)
3) power supply (flow sensor, weight sensor, humidity sensor, etc.)
Two Libelium Plug & Sense Smart Environment PRO stations were installed at a cattle farm for monitoring temperature, relative humidity, PM10, PM2.5, CH4, NH3 and CO. Monitoring the farm’s environment using the IoT infrastructure (which includes sensors and network devices for data transmission) will allow accurate collection of environmental data. This component transmits data via wireless technology to the data aggregator associated with the FarmSustainaBl cloud. The parameters monitored at the farm will provide structured data, relevant for substantiating the adoption of commercial decisions in order to optimize the processes at the farm level. The collected data will be used to generate models and to simulate the performance for different scenarios. Therefore, based on simulations and modeling, this service will allow you to define the optimal configurations of the system, in order to maximize the results in the zootechnical field.
Wireless sensors on the farm 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, prices resulting from lower GHG emissions.
