Smart farming

In food systems, traceability has become a critical element in supply chain management. It is now considered a new quality index in food. Innovation in the use of information and communication technologies is required to provide transparency and trust through the value chain.

SPECIFIC R&I BREAKTHROUGH TOPICS

Precision farming: The management of animal and plant production using near real-time observations and measurements using digital tools is considered precision farming. Examples of these tools include, sensors to follow soil data, irrigation, foliar growth, weed development, and pest management. Overall, these technologies can improve yield output, animal performance, food safety, and reduce farm inputs like fertilisers and pesticides, bringing higher profitability and sustainability to farms.
Use of global data: The data obtained through precision farming can be made globally available through web platforms and forecasts. This data can come from local sensors at farm level, from mobile apps, drone services, and satellites. The data can provide information at a local level, giving smart access to farmers to critical information on farming.
Applied mechatronics: The use of robots and advanced mechanical tools belongs to the field of mechatronics. Examples are advanced drones for data acquisition, autonomous tractors using self-drive technology, and specific autonomous robots for jobs like fruit picking fruit or removing weeds.
Artificial intelligence applied to agriculture: The intelligence brought to machines is called artificial intelligence. Artificial intelligence allows machines to make decisions based on the acquired data -representing the highest level of crop and animal management in smart farming.

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