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SPADE

Machine learning-based disease detection alogorithm mean high-precision monitoring of potato and olive crops using upgraded multispectral drone equipment and certified pilots.

TERRITORY

SPAIN

AREA TO BE DIGITISED

Production Processes

SUBSECTOR #1

Agriculture

SUBSECTOR #2

Root vegetables (potatoes, sweet potatoes)

CROP PRODUCTION SYSTEM 1, 2, 3

Irrigated
Organic
Open-field

TECHNOLOGY

Machine Learning, Electronics

DIGITAL SOLUTION CATEGORY

Production process management

STAKEHOLDERS

Agricultural cooperativas and associations

IMPACT

Productivity

Machine learning-based disease detection alogorithm mean high-precision monitoring of potato and olive crops using upgraded multispectral drone equipment and certified pilots.

Farm challenges

This technology addresses the critical challenge of detecting early-stage diseases in potato and olive crops with high accuracy to prevent yield loss. It also resolves the inefficiencies of manual field scouting by automating the process with advanced, high-precision aerial surveillance.

Assistance / Boost program

Horizon Europe.

Innovative features of the initiative / solution

Machine learning-based disease detection alogorithm mean high-precision monitoring of potato and olive crops using upgraded multispectral drone equipment and certified pilots.

Results obtanied

Visit anysolution.eu

Lessons learned

Building trust that technology allows for the early detection of future problems.

Attachments

Contact