The heterogeneity in Hungary’s agriculture coupled with the lack of digitization makes it difficult to make informed decisions to improve production. To help the national agricultural sector, Széchenyi István University has designed a smart agriculture project with Libelium Agriculture, Water and Environmental sensors, which they have named the “Field Monitoring Laboratory”.
Port cities suffer from one more source of air pollution than any other inland city.
In the Balearic Islands, knowing that air quality has been a priority for European ports since 2013, they wanted to understand if the ferries and cruise ships that docked in their port polluted more or less than any other factor. Now, Libelium’s IoT sensor platform helps to control the environmental impact in the port of Palma de Mallorca to become a smart tourist destination.
Inland regions of Spain, such as Aragon, encourage active tourism to boost the economy of the region. In this adventure tourism, monitoring water can indicate which areas are cleanest and safest for adventurers. Thus, the good health of the rivers has a direct impact on the local economy.
A restaurant in New Zealand has placed a NB-IoT enabled Libelium Plug & Sense! Smart Environment device in their kitchen allowing indoor air quality monitoring. So they can prevent smoke and fire leaks that could affect both the premises and the rest of the building.
Several Libelium air quiality sensors calibrated with the reference stations have been installed in specific locations depending on the density of inhabitants, outdoor activities and especially vulnerable areas such as hospitals, schools or parks.
Preventing asthma attacks in children with a sensor network that monitors air quality conditions in play areas
Engineers of the Airalab Rus team had the idea to install a modern automatic sensor provided by Libelium in several play areas. This project features a system of sensors that monitor air quality around, it allows the state and its citizens to obtain trusted data and use it along with the information from stationary posts.