AgriBIT aims to increase the precision, accuracy and continuity of services to deliver improved Precision Agriculture (PA) services to farmers, leading to a reduction in costs through decreased use of inputs (water, energy, fertilisers, pesticides), lower environmental impacts and increased production yields. It positions its innovations both at the level of intervention on the field and the capturing of the effects of PA over time, intelligently exploiting the information acquired before, during and after direct intervention on the field. AgriBIT combines augmented GNSS and EO information with 1) on-field and on-machine sensors and actuators, and 2) expert agricultural knowledge to deliver simple, high precision and continuously available services. It develops and extends advanced Artificial Intelligence algorithms to fully exploit this rich set of inputs to recommend actions to farmers building on past history and present context and to ease their workload through improved automation. AgriBIT delivers operational services (3 GNSS-enabler services, 8 GNSS-enabled services) and 1 European sourced high precision GNSS affordable receiver that cover the complete value chain of PA, from monitoring to application and precise and automated machinery guidance. With 70% of European farmers active in small to medium operations, AgriBIT’s European sourced high precision GNSS receiver at an affordable price is a major technological and societal contribution to Europe’s farming community. AgriBIT delivers collaboration services supporting farmers and service advisors, but also 3rd party developers for whom open interfaces are provided both at service level and as channels for advanced Big Data Analytics innovations. Over 36 months, AgriBIT includes 20 months piloting at 3 locations, 12 months testing of collaboration services and delivers TRL-8 results. AgriBIT involves 5 solution providers (4 SMEs), 1 research centre and 2 farmers cooperatives with 11.250 members.

The fundamental goal of the ANDANTE project is to leverage innovative hardware platforms to build strong hardware / software platforms for artificial neural networks (ANN) and spiking neural networks (SNN) as a basis for future products in the Edge IoT domain, combining extreme power efficiency with robust neuromorphic computing capabilities and demonstrate them in key application areas. The main objective of ANDANTE is to build and expand the European eco-system around the definition, development, production and application of neuromorphic hardware through an efficient cross-fertilization between major European foundries, chip design, system houses, application companies and research partners, as presented by the European Leader Group (ELG). The project brings together world class expertise to bring the world class expertise and infrastructures of Imec, CEA and FhG together with semiconductor companies, fabless, system houses, SMEs and application experts to explore and demonstrate the capabilities provided by the developed technologies. In the project, several applications will be assessed in key domains where Europe is strong (automotive, digital farming, digital industry, mobility and digital life). The aim is to reinforce and maintain strong leadership in these areas by bringing industry in contact with future memory technologies at a low TRL level (MRAM, OXRAM, FeFET). These cross-disciplinary efforts will lead to development of innovative hardware / software deep learning solutions, based on high TRL level RRAM/PCM and FeFET, to enable future products which combine extreme power efficiency with robust cognitive computing capabilities. This new kind of computing technology, combining ANN and SNN capabilities, will open new perspectives, for instance, environmental monitoring, and wearable electronics.