Aermatica3D, in collaboration with Headwall, has delivered the first high-performance hyperspectral camera integrated onto a drone for industrial use to Agronica (Diagram Group).
This milestone marks the adoption of drone-based hyperspectral technology as an operational tool for precision agriculture applications on an industrial scale.
Como, September 23, 2026
Aermatica3D, an Italian company specializing in the engineering and integration of UAS (Unmanned Aircraft Systems) solutions, has delivered a Headwall Nano-HP hyperspectral camera—manufactured by the U.S. company Headwall and integrated by Aermatica3D onto the DJI Matrice 400, DJI Enterprise’s most advanced drone—to Agronica, a company within the Diagram Group.
The purchase is part of the research and development activities outlined in the Italian Kentucky tobacco (Sigaro Toscano) supply chain contract, with the goal of developing technological solutions that can be practically implemented by operators in the supply chain.
The instrument will be used for aerial hyperspectral surveys aimed at assessing the vegetative status of crops.
By analyzing the light reflected by plants across hundreds of spectral bands—including those beyond the visible spectrum—the sensor detects signals associated with water, nutritional, and phytosanitary stress in crops that cannot be detected using traditional technologies.
Its integration onto the drone—chosen for its high payload capacity and long flight endurance—enables automated and optimized surveys over large areas, ensuring a level of detail, precision, and reliability that until now has been reserved almost exclusively for the research sector.
This project marks the first application in the private industrial sector in Italy.
It represents an important step toward the development of additional initiatives already planned within the Diagram Group.
In particular, the project lays the groundwork for a more widespread use of drones in advanced agronomic applications and for the development of infrastructure dedicated to land surveillance and monitoring through remote-controlled flight systems.
