Abstract The Agri-Food sector is in a stressful situation due to the high demand for food from
the growing population around the world. The agricultural sector is facing a challenging …

The digital transformation in agriculture introduces new challenges in terms of data,
knowledge and technology adoption due to critical interoperability issues, and also …

Given the rapid emergence and applications of Large Language Models (LLMs) across
various scientific fields, insights regarding their applicability in agriculture are still only …

Precision agriculture in the realm of the Internet of Things is characterized by the collection
of data from multiple sensors deployed on the farm. These data present a spatial, temporal …

The increase in agricultural data has created a need for develo** tools that can manage,
share, and visualise this information, while also being accessible to farmers. The use of …

Vegetable crop farmers diversify their production by growing a range of crops during the
season on the same plot. Crop diversification and rotation enables farmers to increase their …

In crop and livestock management within the framework of precision agriculture, scenarios
full of sensors and devices are deployed, involving the generation of a large volume of data …

Interoperability is a critical challenge in Agri-food digitalisation, aligning with European data
strategies and fostering pan-European cooperation, innovation, cost reduction, and market …

Welcome! If you picked up this book you are possibly interested in Linked Data, on Spatial
Data Infrastructures (SDI), or both. As it happens, this book encompasses the two themes, or …

The agri-food sector is undergoing a comprehensive transformation as it transitions towards
net zero. To achieve this, fundamental changes and innovations are required, including …