Fulvio Conti is Head of Agriculture and Environment Practice in Almaviva.In 2015 he was appointed head of Agriculture and Environment practices after having held the position of delvery manager of the Agriculture area. In this context, it has implemented innovative projects in the Agea (Italian Paying Agencies) and Mipaaf areas, aimed at implementing the CAP Reform 2014-2018, the related administrative requirements and compliance with the three-year AGID plan.
Abstract
Technological progress pushes farmers to abandon the traditional agricultural practices and to replace them with innovative tools optimizing farming activities in a double perspective:
• Improving the efficiency of costs and resources to increase the productivity;
• Facilitating the access to the EU’s Common Agricultural Policy (CAP) aids, whose complexity involves a relevant expenditure of time on red tape.
The long-standing experience of AlmavivA led to the birth of the platform “AlmavivA Agriculture, Technological Innovation for Agricultural Enterprises”. A modular and configurable platform based on Open Source and 100% Cloud technologies, which makes it possible to fully support the Agricultural Enterprises, from farm management to CAP requests.
The platform represents an information ecosystem supporting farmers in the management of the productive activity and administration in the red tape processes through cutting-edge technologies:
• GIS interface & Blockchain:
o Geo-localization of cultivations to declare parcels (mandatory for the CAP);
o Full tracking of the production chain with graphic representation of the enterprise (transparency to the consumers).
• Copernicus Satellites: use of updated satellite data for a continuous monitoring of the land to:
o Optimize cultivation methods;
o Enable AGEA to perform CAP controls.
• IoT, A.I. & Precision Agriculture: optimizing the use of water and pesticides to increase the environmental sustainability of the productive process. A network of IoT devices analyses the land to establish the exact quantity and frequency of resources required. Using these data, an automatic calculation algorithm of the resource’s requirements helps to elaborate an automatic distribution tool based on A.I.