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Digital twinning and AI solutions

Digital twins and artificial intelligence (AI) are key technologies for improving transparency, efficiency, and resilience in complex agricultural systems and international development projects. A digital twin is a dynamic, data-based representation of a real-world system, such as an agricultural production area, a value chain, or a regional agroecosystem, in a digital model. It integrates various data sources, e.g., remote sensing data, operational and process data, market information, and climatic parameters, making it possible to visualize relationships, simulate developments, and evaluate scenarios in advance.

We support public institutions, development policy programs, and agricultural stakeholders in strategically introducing, operationalizing, and using digital data models and AI-supported applications in an impact-oriented manner. With digital twinning and AI solutions, we enable informed, data-driven decision-making that replaces assumptions with reliable evidence, thereby significantly improving the quality of strategic and operational management. Through continuous analysis of real-time and historical data, deviations, risks, and bottlenecks can be identified early on and addressed in a targeted manner, thereby increasing the resilience of projects and systems. At the same time, automated analyses and standardized reporting processes contribute to increased efficiency by accelerating recurring evaluations and reducing the burden on human resources. The underlying, structured, and traceable data models create transparency and auditability, thereby strengthening accountability to partners and funding agencies. Thanks to modular architecture and transferable model logic, the solutions developed are also scalable and can be flexibly extended to other regions, programs, or follow-up projects.

We combine technical expertise, methodological depth, and sectoral experience to integrate digital twin platforms, predictive models, and AI-supported decision-making support into systemic development processes.

Our services:

  • Development of digital twins
  • AI-supported analytics and predictive models
  • Operationalization and system integration
  • Capacity building and organizational development

References

We will be glad to provide you with further references upon request.

AgriFoodLoop – Digital interoperable platform for optimizing the circular economy in the agricultural and food industry

Germany

Proactive security of supply through dynamic simulation with self-learning LLM agents (PROVIDER)

Germany

Project concept for the rehabilitation of coffee cultivation and development of a certification system for deforestation-free supply chains in Angola

Angola

Digitalization of key figure evaluation for milk production

Germany

WIR! – DMPL – RegioNachhaltigkeit – Development of a cloud-based system for assessing the holistic sustainability of farms and communication along the value chain

Germany

CoyPu (Cognitive Economy Intelligence Platform for Economic Ecosystem Resilience) – elaboration of application examples from the agri-food sector

Germany

ERLE – Preparation of long-term yield forecasts to increase the resilience of farms with regard to climatic effects

Germany