Smart Truffle

The project consists of developing an agronomic information system for oak forests that allows areas with a high probability of truffle occurrence to be detected.

TERRITORY

SPAIN

AREA TO BE DIGITISED

Production Processes

SUBSECTOR #1

Agriculture

SUBSECTOR #2

Horticulture

CROP PRODUCTION SYSTEM 1, 2, 3

Rainfed

Organic

Open-field

TECHNOLOGY

Big Data and Data Analytics, IoT, Machine Learning

DIGITAL SOLUTION CATEGORY

Precision farming

STAKEHOLDERS

Agricultural cooperativas and associations

IMPACT

Productivity

The project consists of developing an agronomic information system for oak forests that allows areas with a high probability of truffle occurrence to be detected and classified according to the estimated time for harvesting truffles of the highest possible quality.

Farm challenges

The main farm challenges were detecting truffle presence without invasive methods, identifying optimal harvesting windows, and managing high spatial and environmental variability in truffle orchards.

Assistance / Boost program

Ayudas a Agrupaciones Empresariales Innovadoras (AEI).

Innovative features of the initiative / solution

The solution innovatively combines AI, multispectral satellite and drone imagery, in-situ soil sensors, and a user-friendly GIS platform to detect truffle presence and predict optimal harvest timing at tree level.

Results obtanied

The project achieved highly accurate AI models for truffle detection and harvest timing prediction, reaching up to 98.8% overall accuracy and delivering a validated, scalable web-based monitoring platform.

Lessons learned

The lessons learned are that soil-related variables are critical for truffle detection, high-quality data acquisition significantly reduces modeling effort, and integrating agronomic expertise with AI is essential for reliable results in niche crops.

Useful links

Gallery

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