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In this webinar we will showcase the innovative tools developed within the GEN4OLIVE project, enabling researchers, growers, and stakeholders to leverage cutting-edge technologies in olive breeding and pest management.
This online event will highlight the public demonstration and detailed explanation of the GEN4OLIVE Search Engine, a sophisticated and user-friendly database platform. Additionally, the event will showcase an innovative App powered by Machine Learning, designed to predict and identify olive cultivars based on photos of their endocarps (stones) and to detect olive diseases and pests through the analysis of symptom images.
The GEN4OLIVE Search Engine (database) is a powerful and user-friendly platform accessible via both website and app. The engine contains comprehensive details of the olive cultivars analysed and characterised during the GEN4OLIVE project, offering unparalleled insights for researchers and industry professionals.
In addition, two innovative apps developed through the project will be presented
These tools represent a significant leap forward in agricultural technology, empowering users with real-time, accurate, and actionable data for olive breeding and management.
Innovation Specialist at Sapienza University, Italy | Expertise in Marketing, Communication, and New Business Models.
Professor in the Dipartimento di Informatica at Sapienza University of Rome, Italy.
Dorjan is an Assistant Professor at the Sapienza University of Rome
This project has received
funding from the European
Union’s Horizon 2020 research
and innovation programme
under grant agreement No. 101000427
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