Food security initiatives – food and nutrition security and sustainable agriculture are still major global challenges as reflected in the United Nations (UN) Sustainable Development Goals. According to the UN Food and Agricultural Organization (FAO), 80% of crop production growth in developing countries will come from higher yields, increased crop intensity and expanding land use. Existing food security related services focused on global agriculture monitoring. As an example, we can mention the GEOGLAM FAO activity.
The goal of this team is to analyse ways how Earth Observation technologies can help farmers and all communities at local and regional levels for more sustainable agriculture and food security. We will analyse several examples, good practices and ideas, potential applications, market etc. The goal is not to transfer European solutions to Africa. The goal is to find relevant solutions for Africa. We plan to collect ideas through questionnaires, share common working place and eventually run also some practical tests. Register yourself into our group and help us search for best solutions.
The goal of this team is to publish selected spatial open data from Kenya and other African countries as 5-star Linked Open Data (LOD). The datasets will be transformed and integrated into the Smart Points of Interest (SPOI) data model. The data model for SPOI was designed during the SDI4Apps project and provides a universal exchange approach to publish point based data in RDF format according to the the linked open data (LOD) principles.
Analysis of Kenyan data from the perspective of SPOI (occurrence, original resources, types of objects).
Searching and describing selected datasets.
Harmonisation of data to the SPOI data model (development of scripts and harmonisation pipelines based on web services).
Validation and evaluation of harmonised data.
Further development of SPOI related mobile apps for Kenya/Africa
Sensors and especially the Internet of things (IoT) became recently popular due to the their significant importance to face challenges at various levels.
The aim of this project is to make research of available IoT networks, their coverage and available data sources in selected areas in Africa. In addition to that, the aim is to research and create overview of available open data and datasets from the sensor domain – e.g. meteorological stations, weather forecast, traffic cameras, public transport data and agriculture phenomena.
A further direction of the project will be focused on exchange formats and protocols that are used in the targeted domains. The practical work in this project will be focused on the implementation of connectors to the SensLog 2.0 application currently being used in DataBio and AFarCloud projects. These connectors will provide a middleware between sensor network / measuring unit / gateway to the sensor data storage.
Transfer technologies include:
Tasks that participants can be involved in:
Research of available networks and datasets
Implementation of connectors to the SensLog 2.0
Analytical tools based on data stored in the database
Visualisation of observations stored in the database
The next satellite event of the INSPIRE Hackathon will be held for the first time outside Europe. The Nairobi INSPIRE Hackathon 2019 is organised in the frame of the IST Africa 2019 Conference. The hackathon is a collaborative event organised by Plan4all and Club of Ossiach associations and EU projects including EO4Agri, DataBio, NextGEOSS, EUXDAT, PoliVisu and AFarCloud.
The sixth project meeting of the DataBio project, Data-Driven Bioeconomy, was held from 29 to 30 January 2019 at the “i Portici” hotel in Bologna. The event was a great success with over 70 people including international partners and external stakeholders. The meeting gave an opportunity to discuss and illustrate the performance of the technological platform of the DataBio project, the progress of the experiments (pilot trials) conducted over the last two years in Europe and the plan for the next trials to be run in 2019.
The DataBio project is financed by the Horizon 2020 Research and Innovation Programme of the European Union with the grant agreement n. 732064. Thematic: ICT-15-2016-2017; Big Data PPP: Large Scale Pilot actions in sectors best benefiting from data-driven innovation.