Multifunctional and diversified agriculture can address diverging pressures and demands by simultaneously enhancing productivity, biodiversity, and the provision of ecosystem services. The use of digital technologies can support this by designing and managing resource-efficient and context-specific agricultural systems. We present the Digital Agricultural Knowledge and Information System (DAKIS) to demonstrate an approach that employs digital technologies to enable decision-making towards diversified and sustainable agriculture. To develop the DAKIS, we specified, together with stakeholders, requirements for a knowledge-based decision-support tool and reviewed the literature to identify limitations in the current generation of tools. The results of the review point towards recurring challenges regarding the consideration of ecosystem services and biodiversity, the capacity to foster communication and cooperation between farmers and other actors, and the ability to link multiple spatiotemporal scales and sustainability levels. To overcome these challenges, the DAKIS provides a digital platform to support farmers' decision-making on land use and management via an integrative spatiotemporally explicit approach that analyses a wide range of data from various sources. The approach integrates remote and in situ sensors, artificial intelligence, modelling, stakeholder-stated demand for biodiversity and ecosystem services, and participatory sustainability impact assessment to address the diverse drivers affecting agricultural land use and management design, including natural and agronomic factors, economic and policy considerations, and socio-cultural preferences and settings. Ultimately, the DAKIS embeds the consideration of ecosystem services, biodiversity, and sustainability into farmers' decision-making and enables learning and progress towards site-adapted small-scale multifunctional and diversified agriculture while simultaneously supporting farmers' objectives and societal demands.

Since 2017, the Eberswalde University for Sustainable Development (HNEE) offers transformative learning modules in their curricula, which are called ITL—Innovative Teaching and Learning formats. Student tutors change into the role of teachers and organize lectures, excursions, and assignments at the Real-World Laboratory “Ackerbaum”—an agroforestry system in the federal state of Brandenburg, Germany. Students can learn about agroforestry systems, participate in research, and take practical action. The examination of the module is a scientific report linked to the experimental area. In this study, an attempt was made to verify the quality and impact of teaching formats in the ITL via the analysis of 53 reports created by 170 students as well as surveys among participants. For this purpose, indicators were formulated that capture the quality of scientific methods and the contribution to higher education for sustainable development. Students and tutors appreciate the open working atmosphere and the possibility to actively participate in the course; many leave the module motivated. Some even move toward transformation in agriculture professionally as, e.g., consultants in the field of agroforestry. As a transformative institution, HNEE offers with ITL a rare opportunity for practical application, scientific methods, and transdisciplinary collaboration with different stakeholders to work on future models to change today’s agriculture.

Applying a Regional Integrated Vulnerability Assessment (RIVAS), this study aims to identify the local farming system characteristics of 54 smallholder agroforestry farms in Kafa Zone (Ethiopia), their climate change vulnerability, and how they are affected by current land-use changes. The study combines semi-structured interviews with a biophysical characterization of farm systems. The results show that the assessed farming systems’ multifunctionality is essential to rural livelihoods while sustaining crop and tree diversity. While dry season crop diversity drives household’s sufficiency and capacity to respond to crop failure, medium-low sufficiency of production in more than a third of the assessed systems, as well as soil degradation in cereal fields lessen adaptive capacity. For their contribution to climate resilience, diverse and perennial cropping regimes should be supported and maintained.