Ioannis N. Athanasiadis

TL;DR: The changing agricultural modelling landscape since 2002 is described, largely from a software perspective, and a case for a focussed effort on the software implementations of the major models is made.

TL;DR: The present and future of semantic modelling in environmental science are reviewed: from the mediation approach, where formal knowledge is the key to automatic integration of datasets, models and analytical pipelines, to the knowledge-driven approach,Where the knowledge is a key not only to integration, but also to overcoming scale and paradigm differences and to novel potentials for model design and automated knowledge discovery.

TL;DR: The extent of digital twin adoption in agriculture is examined, light is shed on the concept and the benefits it brings, and an application-based roadmap for a more extended adoption is proposed.

TL;DR: The qualitative evaluation suggests that as an overall research challenge, the interoperability of data sources, modular granular open models, reference data sets for applications and specific user requirements analysis methodologies need to be addressed to allow agricultural modeling to enter in the big data era.

TL;DR: DAWN, a hybrid model for evaluating water-pricing policies, integrates an agent-based social model for the consumer with conventional econometric models and simulates the residential water demand-supply chain, enabling the evaluation of different scenarios for policy making.