After the first year of experimentation, the University of Molise in Italy has completed the phase of collection and digitization of field data in the experimental sites. The data will be essential for the implementation of an Automated Monitoring and Control System against the Olive and Med Fruit flies based on two types of electronic traps (OliveFlyNet and MedflyNet) and a series of electronic services.

The maps were obtained by geo-referencing (location based on geographical coordinates) containing all the objects in the field so that the farmer can know exactly the position of the trees in the orchards, the sensors to record temperature, relative humidity, rainfall and wind speed, the places where the electronic traps have been placed, as well as the presence of obstacles and buildings. In essence, they summarize the basic parameters that characterize an orchard and assess its health.

Maps integrated with the data collected from electronic traps will be used for implementing a Decision Support System (DSS), a key factor for efficiently managing a farm and making the right decisions at the right time. All data will be processed through sophisticated databases and analytics algorithms that will allow the transition from raw data to processed data and ultimately to agronomic advice, in the form of spraying risk and path maps, available through the use of devices such as tablets and smartphones.

The goal is not to "impose" a choice, but to provide support to agricultural technicians and farmers in analyzing the decisions to be taken for pest control.

Why use this tool against Olive and Med fruit fly? The advantages are many:

- fewer visits to the field with time savings and containment of travel expenses;

- automatic recognition of insects with optimization of time even in data processing;

- immediate alert (presence of the insect, significant increase in population, complete sticker sheet to be changed);

- historical archives;

- definition of the exact time, methods and quantity of products to be used for pest control with benefits for the economic and environmental sustainability of agricultural activities.