Menciones en medios de comunicación
Last 10th, 11th and 12th of May, we attended as co-exhibitors of FIWARE to the IoT World Congress in Barcelona, where we were able to show our i4Trust experiment to the attendees of the congress. During the 3 days, both Carlos Callejero and Pedro Gómez showed what our experiment consists of, creating a unique Data Read more about Sensowave presented the Farm4All project at the IoT World Congress in Barcelona.[…]
Sensowave participates as a partner in the Cattlechain project, aiming to improve farm productivity and animal welfare while ensuring fully transparent traceability of processes by integrating advanced IoT, Artificial Intelligence and blockchain technologies within the open source FIWARE platform. As a result of this project, an event has been created to present the objectives and Read more about Sensowave as part of Cattlechain event to optimize farm productivity and animal welfare[…]
Sensowave has been involved in one of the 13 European projects of the i4Trust program. A total of 226 SMEs and 42 digital innovation centers (DIH) from 23 countries have participated in the program. Sensowave is part of the Spanish experiment, FarmData4All, whose mission is to develop a data services platform that connects all the Read more about FarmData4All, i4Trust’s Spanish project to improve the meat production chain.[…]
Digitanimal. Control your Cattle wherever you are We introduce you to Digitanimal, the most powerful and effective cattle localization and monitoring system on the market. Digitanimal. Control your Cattle wherever you are We introduce you to Digitanimal, the most powerful and effective cattle localization and monitoring system on the market. In 2014, four professionals, an Industrial and Read more about Digitanimal. Cattle localization and monitoring system[…]
Precision livestock is the term which applies to technology that allows the farmer to make accurate decisions based on actual data from the herd. Its development is favored by an increase in the number of animals on farms, allowing the farmer to prioritize his attention on certain events (calving, zeal, diseases, losses in fertility, changes in feeding, etc.) which can occur to each animal. An investment in this type of technology is profitable on the farm due to the detection of all these anomalies. By making appropriate decisions in real time, higher profit margins are achieved and the efficiency of production systems is improved (AFRIGA, 2016).
It is well known that global population is still growing and it is expected to reach 9 billion by 2050 and the Food and Agriculture Organization of the United Nations (FAO) estimates that this will increase the demand for high quality protein such as meat.