D1.1 Agriculture Pilot Definition

The objective of WP1 Agriculture pilot is to demonstrate how the Big data technologies will be integrated into the pilots, in order to validate the Big data technologies on practical cases from agriculture and how it can fulfil the end user communities’ expectations. The Big technologies will be tested in three areas: arable farming, horticulture and Subsidies an insurance, where every area will be tested in in pilots with different topics and running in different countries. Task 1.1 Co-innovative preparations deal with user understanding specifying the needs of users and different stakeholders and its main objective is to analyse a set of functional and non-functional requirements specified from the analysis of the pilot cases. Opportunities for different solution technologies were reviewed with stakeholders and users are used as an input and a set of scenarios are described within the bio-economy domain related to the agriculture sector. Functional requirements are defined and used as input for the application specification, development and piloting. User and stakeholder study to specify the (most beneficial) areas of interest from different point-of-views and resulting to detailed scenario building of the application scenarios from which use cases are defined. This subtask feeds from user and stakeholder study as input. The results are the pilot cases definitions including requirements specifications and evaluation plans. The organizations that were planned to participate in this task, and their respective planned work effort in person-months, are Lespro (2), Intrasoft (5), VTT (3), IBM (2), Softeam (2), Limetri (2), CREA (2), Fraunhofer (6), Vito (6), Tragsa (6), NP (2), Federu (6), CSEM (2), Rikola (4), Novam (6), EXUS (6), CERTH (6), CITOLIVA (3), GAIA (9), ZETOR (8), CAC (6) The deliverable D1.1 Agriculture Pilot Definition specifies the pilot case definitions, requirement specifications, as well as implementation and evaluation plans.