One of the current priorities of the new Common Agriculture Policy (CAP)
is to overcome the serious environmental prob- lems raised by intensive
agriculture. Despite the steps for- ward guaranteed by new technologies
and innovations (e.g., IoT, precision agriculture), the availability of
real operational tools, helping the member states to fulfill the high
require- ments and expectations of the new CAP, is still lacking. To
fill this gap, in the H2020 LandSupport project, the web- based
best practice tool was developed to identify, on-the- fly,
optimized agronomic solutions. The core of the tool is the ARMOSA
process-based model, which dynamically sim- ulates several combinations
of cropping systems, crops, ni- trogen fertilization rates, tillage
solutions and crop residues managements for a specific region of
interest. To identify the optimized solutions, it provides a synthetic
“Best Practice in- dex”, which combines the production, nitrate
leaching and SOC_change, according to the end-user dynamic requests.
The tool was implemented for three case studies: March- feld Region in
Austria, Zala County in Hungary, Campania Region in Italy, which are
representative of a variety of dif- ferent pedoclimatic conditions. In
the present work, three possible uses are shown to i) maximize the crop
production; ii) evaluate the use of different crops and related
practices; iii) evaluate the best practices in the nitrate vulnerable
zones. The tool offers a close representation of actual and optimized
cropping systems, with the possibility of further applications in other
regional case studies, and in tailored scenarios, in which users enter
their own input data.