GaViX delivers an innovative, integrated solution to address the issue of sorting and setting apart components of radioactive waste quickly and effectively. The solution benefits from the advances in artificial intelligence and automated processes to detect and sort radioactive materials, in addition to X-ray and sensors technology, optimised to be very small sized and low cost, to significantly increase the spatial resolution and integration times. Following a study of the Sellafield site and in-depth research and evaluation of user needs, a first step in the study will identify requirements and define a comprehensive approach, including an economic and financial assessment, project planning and risk assessment. A draft for validation and verification procedures and criteria of the experimental prototype follows. The feasibility study phase will define a roadmap for developing and testing the prototype during Phase 2\. In line with the NDA Grand Challenges for Technical Innovation, our proposal makes use of remote sensing techniques to allow smart and effective detection and sorting of radioactive waste, including multi-layer flexible packaging that was developed and designed specifically for radioactive low-level waste. The adoption of autonomous systems, sensors and robotics will permit safer methodologies and techniques for human operators, again meeting the Grand Challenges objectives. The use of advanced technology and artificial intelligence will improve data collection and make data analysis easier. AB5 Consulting, a London-based SME, is the project lead. AB5 has gathered a strong team of subcontracting experts of international renown, each one contributing specific knowledge coming from the research, nuclear, processing and packaging sectors. The Italian National Institute for Nuclear Physics (INFN) provides the technology for the radiation detectors, as well as all the know-how about the context and domain of nuclear physics. IRIS, hi-tech producer of advanced solutions, owner of patented AI algorithms and image processing techniques for food processing. PacTec, industry leader for the design and manufacturing of certified flexible packaging solutions for low level radioactive wastes according to the requirements of IAEA regulations for the 'Safe Transport of Radioactive Material', SSR-6 and ADR.

To develop and commercialise an app converter with advanced security measures, powered by Artificial Intelligence. This novel capability will feature IoT connectivity for any smart device farmers may use, thus boosting farmer productivity.

"The HASAC (Healthy And Sustainable Agriculture of Cassava) in Nigeria project improves the agriculture and food system of cassava for smallholder farmers. The 15-month feasibility project will be tested in 21 farms of 5 acres each in Oyo state (total is 40 hectares). Cassava is one the six most important staple foods in the world and Nigeria is its first producer in Africa. However, quantity and quality of crops is not adequately managed or monitored in the country, its price is very volatile resulting in poor profits for farmers and lack of adequate exploitation, both in the processing and use of crops and in farmers' involvement in the value chain and ultimately, in the sale to external markets. The consortium composed of academic partner UCL, Amolexis of Nigeria, and AB5 of the UK will concentrate their efforts on better management and route to market of cassava culture, integrating test field and technology with a ""Making Market Work for the Poor"" (M4P) approach and a strategy to adapt and transform food for sale and marketing effectiveness. We are pleased to be able to collaborate of the local development agency OYSADEP, through which farmers and land for the demonstration phase of our project will be provided. The project will also permit to efficiently use resources (e.g. water, fertilisers and pesticides), reducing the impact of climate change. We are also grateful of a collaboration with International Institute of Tropical Agriculture (IITA) for the African Cassava Agronomy Initiative (ACAI) project. This project funded by the Bill Gates Foundation, aims at supporting the farmers' decision process through macro data. The aim is to develop a profitable model for smallholders, which can then be reproduced in a self-sustainable manner, and contribute to combat hunger and poverty in Nigeria. The project will actively contribute to fighting poverty, by providing farmers tools and information to develop their farms, and sell their harvest at the best price. Export and urban markets will be particularly targeted. We aim towards a zero-waste farm, and will make sure that wastes produced by the farms can eventually be recycled"