L'innovation in the agricultural sector has become a fundamental priority in light of environmental challenges and growing global food demands. In a online workshops dedicated to the discussion of the changes to the call for agricultural machinery of the PNRR, and to the role of TETHYS services in the field of precision agriculture, theenthusiasm and theinterest they were palpable.

The race for innovation

Attention was immediately focused on the innovation opportunity offered by the call for agricultural machinery of the PNRR. Matteo De Sanctis, during his presentation, underlined how this call is aopportunity for agricultural companies eager to embrace modernization. The observations of the participants, especially those who are about to apply for the call, have highlighted some implementation criticalities, mainly linked to the eligibility criteria set out in the call for proposals, but these have been largely overcome with the amendments of last March.

So stay strong the investment and growth potential that this opportunity brings with it, also through the use of irrigation advice systems such as TETHYS Aqua, which is eligible for the contribution under the PNRR machinery tender, also in combination with the purchase of machinery and equipment for theprecision irrigation.

TETHYS: at the service of agricultural innovation

After the analysis of the PNRR machinery tender, the services that TETHYS makes available to farmers to produce in a more modern and sustainable way were then reviewed:

• Watch, a monitoring system of the crop health status based on thetrend of vegetation and biophysical indices calculated starting from the satellite images of Sentinel 2A and 2B and Landsat 8 and 9. Watch promptly notifies users of any water stress, nutritional deficiencies, parasitic attacks on monitored crops;

• Aqua, The irrigation advice which calculates the actual water requirement of crops and suggests when and how much to water to the user. The calculation of thereal evapotranspiration It is carried out using environmental modeling based on satellite imagery and other data.