Digital Science Recommendations for Food & Agriculture

Digital Science Recommendations for Food & Agriculture

All stakeholders working on the digital transformation of food and agriculture are facing important challenges. For the organizations, initiatives but also individuals supporting the role of scientists in both the public and private sector, important questions come forward:

To take this discussion further, we have worked on a discussion paper on Future Science Recommendations for Food and Agriculture with invited contributions from Europe and the world. This work has been facilitated by the H2020 AGINFRAplus project, but goes much beyond to reflect upon the achievements (but also the failures) of the community so far.

This is why with pride and pleasure we announce the official publication of this discussion paper with invited contributions from Europe and the world:

By editing this volume, we have tried to take stock of where we stand today as a community. We are grateful to the contributions of important stakeholders and initiatives. In all the position statements that they have provided, we read the same message — and the same desire: let’s work more; let’s work together.

 

Cite this discussion paper as:
Manouselis Nikos (Ed.) Digital Science Recommendations for Food and Agriculture, DOI: 10.5281/zenodo.3666358, January 2020. Available from: http://doi.org/10.5281/zenodo.3666358

ABOUT THE PROJECT

OUR COMMUNITIES

The selected AGINFRA+ Use Cases will illustrate the benefits of applying the Science as a Service approach to pressing research questions from the corresponding research communities.

AGROCLIMATIC AND ECONOMIC MODELLING

This community focuses on use cases aim to support the workflow of researchers, intermediaries and business analysts working on crop modelling, crop phenology estimation and yield forecasting, as well as related activities in the area of policy and decision support in food security, farm management advice and related activities.

READ MORE

FOOD SAFETY RISK ASSESSMENT

This community focuses on use cases to support scientists in the multidisciplinary field of risk assessment and emerging risk identification as there is currently a strong need to create new technology-supported solutions that facilitate the knowledge integration processes relevant for these tasks.

READ MORE

FOOD SECURITY

This community focuses on use cases related to the high-throughput phenotyping large amount of data which need to be analyzed immediately for decision making. This aims to support phenomics researchers to select plant species and varieties which are the most adapted to specific environments and to global changes.

READ MORE

subscribe to our newsletter

stay updated!