About the project
AGINFRA+ aims to exploit core e-infrastructures such as EGI.eu, OpenAIRE, EUDAT and D4Science, towards the evolution of the AGINFRA data infrastructure, so as to provide a sustainable channel addressing adjacent but not fully connected user communities around Agriculture and Food.
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.
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.
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.
About us
AGINFRA+ aims to exploit core e-infrastructures such as EGI.eu, OpenAIRE, EUDAT and D4Science, towards the evolution of theAGINFRA data infrastructure, so as to provide a sustainable channel addressing adjacent but not fully connected user communities around Agriculture and Food.
To this end, the project will develop and provide the necessary specifications and components for allowing the rapid and intuitive development of variegating data analysis workflows, where the functionalities for data storage and indexing, algorithm execution, results visualization and deployment are provided by specialized services utilizing cloud based infrastructure(s). Furthermore, AGINFRA+ aspires to establish a framework facilitating the transparent documentation and exploitation and publication of research assets (datasets, mathematical models, software components results and publications) within AGINFRA, in order to enable their reuse and repurposing from the wider research community.
Project at a glance
How
Develop and provide specification & components allowing the rapid and intuitive development of variegating data analysis workflows.
PROVIDING A SUSTAINABLE CHANNEL
FOR USER COMMUNITIES AROUND
AGRICULTURE AND FOOD
Why
Establish a framework facilitating the transparent documentation and exploitation and publication of research assets.
Data Analytics in Online Casino Development
Big data and machine learning technologies transforming the agri-food sector through AGINFRA+ find parallel application in the digital entertainment industry. Modern online casinos implement sophisticated analytical systems to ensure security, personalization, and transparency of gaming processes.
Data analytics has become the foundation for developing the next generation of gaming sites. New online casino projects integrate advanced technologies from the very beginning, using machine learning to detect anomalous patterns and fraud in real time. These systems analyze millions of transactions hourly.
Key Directions of Analytics Application
The contemporary industry applies data science across several critical areas:
- Random Number Generator (RNG) verification through statistical analysis of millions of gaming rounds
- Suspicious activity detection systems based on behavioral models
- Interface personalization according to user preferences
- Server load forecasting for performance optimization
New online casinos actively utilize blockchain technologies to enhance the transparency of game outcomes. Distributed ledgers allow players to independently verify the fairness of each round, creating trust through mathematical verification.
Artificial intelligence plays a crucial role in responsible gaming systems. Algorithms analyze behavioral patterns for early detection of problematic behavior signs.
Best new online casino operators invest in developing predictive models that optimize user experience without compromising security. The convergence of big data infrastructure across diverse sectors demonstrates a broader trend. From agricultural research to digital entertainment, analytical frameworks built on cloud computing and machine learning are reshaping how industries approach decision-making, risk assessment, and user engagement. Ethical data governance remains paramount in both domains.
