Field validation of smart hive systems

Field testing and validation of digital and AI-based beehive monitoring systems for environmental and agricultural applications.

Interested in this Service? Contact us at paolo_api.fontana@fmach.it

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Overview

FEM will provide experimental sites and expertise for the field validation of digital hive monitoring technologies aimed at assessing honeybee colony dynamics, health, and environmental interactions. The service will include the installation and management of instrumented apiaries across different agroecosystems, environmental data (hive weight, internal temperature, flight activity, and weather), and ground-truth measurements performed by expert apicultural technicians. Complementary analyses of pollen and honey (melissopalynological and multiresidual) will support the evaluation of floral resources, pesticide exposure, and honey quality. The combined datasets will enable the calibration of AI-based predictive models and the development of digital tools for apiculture and agroecosystem monitoring.

More about the service

How can the service help you?

The service will support companies in the validation and calibration of digital hive monitoring technologies designed to assess honeybee colony activity, health, and environmental interactions.It will provide reliable ground-truth data to improve predictive models and to correlate sensor-based parameters (e.g., hive weight, temperature, flight activity) with real field observations.Before the service, customers will typically have a prototype or monitoring system that generates raw or unverified data; after the service, they will obtain validated datasets and interpretation frameworks that enhance the accuracy and robustness of their digital solutions for apiculture, environmental monitoring, or agroecosystem management.

How the service will be delivered

Field activities will be carried out during the beekeeping season (spring–autumn) at FEM’s experimental apiaries and other selected field sites across Trentino, covering both agricultural and semi-natural environments.

Service customisation

Requirements and feasibility of services will be assessed individually.
Sector
Arable farming
Tree Crops
Viticulture
Test type
Data
Physical system
Software or AI model
Type of service
AI model training
Collection of test data
Data analysis
Performance evaluation
Provision of datasets
Test execution
Country of delivery
Country of delivery: Italy
Service provider(s):
  • Fondazione Edmund Mach (FEM)
    Italy
    | Website
WHAT WE DELIVERED

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