Validation of an intelligent microscope for automated honey quality analysis through corbicular pollen analysis

The validation service focuses on pollen analysis to compare the results obtained using the intelligent microscope with traditional methods.

Interested in this service? Contact us at bt2sejis@uco.es 

Overview

The validation of the service will be carried out using corbicular pollen samples, which will be examined through the established traditional unitary methodology and with an AI-equipped microscope. The results will be statistically compared to determine the error rate of the AI in the analysis.

More about the service

Discover more about our service, including how it can benefit you, the delivery process, and the options for customisation tailored to your specific needs!

Validation through traditional analysis of honey samples allows the company to improve and determine the condition of the equipment, providing useful information to assess the state of the product.

Chemical analyses, corbicular pollen analysis, and crystallisation degree will be conducted in the laboratory using both methodologies, with each sample evaluated on the same day according to its respective method. Corbicular pollen refers to the pollen collected by bees in their corbiculae (pollen baskets), which serves as a primary protein source in the hive. The crystallisation degree of the samples is crucial for assessing the honey's texture and quality. Pre-collected samples will be used, and once the analysis results are obtained, they will be compared to establish the error levels present in each method.

The service can be customized to meet specific customer needs, adapting the number of samples evaluated and the origin based on the requirements of each company, being able to provide samples from the university collection.
Location
Spain
Type of Sector
Food processing
Type of service
AI model training
Collection of test data
Data analysis
People training
Performance evaluation
Test execution
Test setup
Accepted type of products
Data
Physical system
Software or AI model

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