Project description
AI4EO to measure global food security
Measuring global food security is essential to design effective decision-making policies. There are several assessment measures, but they focus on nutrition and physical aspects. Also, the difficulty of obtaining relevant data leads to incomplete assessments. In this context, the ERC-funded EO4FoodSecurity project will extend the unique AI algorithms and the big EO data management features developed in the ERC-funded So2Sat project to measure the state of global food security at regional levels. The project will develop software using multimodal data derived from satellite imagery and auxiliary open data as a commercial, integrated service. EO4FoodSecurity will develop a comprehensive business case to assist in designing an exploitation strategy and an interactive big EO data analysis platform.
Objective
Characterizing the state of global food security is essential in devising and evaluating policies and programs for effective decision making. The concept of food security is multidimensional and dynamic and is often compounded by the challenge of obtaining relevant data. Moreover, finding appropriate indicators that specifically encompass the four dimensions of food security (including physical availability of food, economic and physical access to food, food utilization, and sustainability) as specified by UN FAO remains a challenging task. There exist variety of different measures for assessing the food security situation, but they merely focus on nutrition and physical aspects and thus provide incomplete assessments related to the problem.
In this PoC project, I aim to extend the unique AI algorithms and the big EO data management features developed in the ERC StG So2Sat to characterize the state of global food security on regional scales using multimodal data derived from satellite imagery and auxiliary open data, and offer our software as a commercial, integrated service. Within the PoC, a comprehensive business case that will assist us in designing an exploitation strategy will be developed. Achieving these objectives will augment the capability of our existing AI solution for land cover/land use mapping to infer the crucial aspects of food security and sustainability.
Our value proposition in EO4FoodSecurity is a set of professional solutions to extract relevant indicators for characterizing food security by retrieving them from big EO data and other open sources using AI. E.g. generating land use map and using it along with other information extraction modules of So2Sat (such as population density, road and building footprints) and other open data (e.g. meteorological, nutrition) to generate food security map at unprecedented finer spatial and temporal scales. We aim to support these solutions in an easy-to-use, interactive big EO data analysis platform.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences software
- natural sciences computer and information sciences computer security data protection
- engineering and technology mechanical engineering vehicle engineering aerospace engineering satellite technology
- medical and health sciences health sciences nutrition
You need to log in or register to use this function
We are sorry... an unexpected error occurred during execution.
You need to be authenticated. Your session might have expired.
Thank you for your feedback. You will soon receive an email to confirm the submission. If you have selected to be notified about the reporting status, you will also be contacted when the reporting status will change.
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
-
HORIZON.1.1 - European Research Council (ERC)
MAIN PROGRAMME
See all projects funded under this programme
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-ERC-POC - HORIZON ERC Proof of Concept Grants
See all projects funded under this funding scheme
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) ERC-2022-POC2
See all projects funded under this callHost institution
Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
80333 Muenchen
Germany
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.