The iFAROS Project is aimed to demonstrate how the use of remote sensing with UAV and the utilization of agricultural data from the whole-field operations are combined to reach higher yields with
lower inputs. The iFAROS project will be demonstrated in winter wheat (Triticum aestivum L.), which is the most important crop in Europe and is produced in 56 million hectares.
Developing a novel cloud-based application, acting as an intelligent middleware with data analytics capabilities, for the collection, storage and integrated processing of the data coming and
related to agricultural production, deriving from data sources such as farm machinery, UAV, Wireless Sensor Networks, and other sources of open data at farm and at regional level.
To realize better decision-support algorithms for farm management and operations. In particular, this
will include the creation of application maps for VRA of fertilizers, yield prediction, and the reporting for whole farm management productivity costs.
To develop an advanced FMS for applying and exploiting objectives (1) and (2) in an easy-to-understand manner, also for small farmers.
To apply the produced site-specific management fertilizer application map in an automated way by
utilizing ISO 11783 (ISOBUS). To achieve this, specific hardware will be developed.
Conceptual structure and information flow of the iFAROS project