Proposals should:

• critically analyse the potential and limitations of R&I results from relevant past and ongoing projects, and the requirements of further development to meet farmers’ needs (including a cost-benefit analysis), made available to industrial partners (including SMEs) that provide technological solutions to farmers to monitor and manage natural resources and agricultural inputs. This should be in the form of a structured catalogue of these results relevant to the topic such as new sensors, software, databases, applications, methodologies, algorithms, etc. (non-exhaustive list), and covering different farming systems/approaches, including organic farming;
• identify barriers and enablers for translation of R&I results into practical and commercial tools for small- and medium-sized farmers, and for the uptake by these end-users, as well as characterise remaining knowledge, training and/or advice gaps, and needs for policy feedback;
• design and set up an accessible and searchable web-based database with technical descriptions and relevant information of all the available results from the catalogue in a structured way, making concrete efforts to follow the FAIR principles;
• set up a central brokerage and support service point aimed at matching innovation ideas from industrial partners that want to improve or create new products or services with the needs of small- and medium-sized farmers. These developments include, for example, increasing the number of measured parameters on existing devices, improving precision, automation, integration of systems and decision-making tools considering the diverse pedo-climatic, cropping and social conditions across the EU and Associated Countries while checking also the transferability to other regions with similar characteristics. The service should be free of charge for the industrial partners;
• establish a network of research and innovation providers and intermediaries with capacity to support the industrial partners to identify and develop the newly adapted solutions;
• provide innovations based on digital and data-based solutions (e.g. IoT, remote sensing, sensors, (generative) artificial intelligence, data visualization techniques) and tailored to the needs of small- and medium-sized farmers, carefully considering the specific barriers and enablers for adoption in each context (e.g. skills of end users, access to and understanding of digital tools, availability of local data, investment need, connectivity, gender role perceptions and expectations, diverse pedo-climatic and socio-economic conditions across the EU and Associated Countries, etc.) and proposing how to overcome these difficulties and foster the enablers;
• develop prototypes of the innovations and test them in an operational environment;
• set up a community of practice to facilitate science-business exchanges and to share experiences across the EU and Associated Countries. Complementarities with European and national AKIS knowledge channels or similar should be explored;
• propose a clear strategy to disseminate and exploit results, innovations and best practices during and beyond the project lifetime;
• monitor progress of the different innovations delivered by the supported third parties, taking stock of good practices and contribution to the achievement of the objectives of the topic.