The world will need to produce 70% more food in 2050 than it did in 2006 in order to feed the growing population of the Earth, according to the UN Food and Agriculture Organization (FAO).
To meet this demand, farmers and agricultural companies are turning to the Internet of Things (IoT) for analytics and greater production capabilities.
BI Intelligence, Business Insider’s premium research service, predicts that IoT device installations in the agriculture world will increase from 30 million in 2015 to 75 million in 2020, for a compound annual growth rate of 20%.
OnFarm, which makes a connected farm IoT platform, expects the average farm to generate an average of 4.1 million data points per day in 2050, up from 190,000 in 2014.
The future of farming is in collecting and analyzing big data in agriculture in order to maximize efficiency.
Do you have an innovative project with a focus on technology transfer between Agri-Food and AeroSpace, Health, ICT sectors?
ACTTiVATes’ targeted SMEs are those being part of the supply chain of the Agri-food, AeroSpace, Health and ICT sectors, developing their activity from the first phase of the product life cycle and being able to develop new prototypes with technologies acquired from other sectors.
Besides, the aim is that SMEs are expected to generate new services and products with the acquired technology, fostering the creation and consolidation of emerging industries.
SMEs targeted are either well-established companies that want to enter new markets/value chains with cross-sector innovations and start-ups/spin-offs that will build up a business with a new technology.
Regarding the farming & food management chain, the most relevant technologies are:
Advanced sensing systems (soil, plant growth, diseases, etc.),supported by vision, radar, satellites and Unmanned Aerial Systems (drones), wireless sensor networks, robotics in primary production and in the food factory, 3D food printing, analytics/farming devices systems, farm management systems, farming instrumentation, advanced (including 3D) Geographic Information Systems (GIS) based on multi and hyper spectral images, big data applied to the farm and food management chain, APPs as farmers decision support system or technologies for greenhouses and closed systems, such as climate control, new covers to improve photosynthesis or light materials.