SmartProtect, the Horizon 2020 Integrated Pest Management (IPM) thematic network bringing together 16 partners from 12 countries, has produced its second newsletter. It brings readers up to date with the network’s key aim, which is “to stimulate knowledge flow in the regional Agricultural Knowledge and Innovation Systems (AKISs) across the EU and connect these on the innovative potential of advanced methodologies for IPM in vegetable production, integrating precision farming technologies and data analytics”.
In particular, the project is seeking to build a sustainable platform for knowledge sharing, benchmark the best practices with the highest innovation potential for SMART IPM and provide farmers with easily accessible and understandable materials and guidelines.
The network’s second newsletter brings readers up to date with progress on the SmartProtect platform. The platform is designed to be used by farmers, advisers, experts, researchers, technology providers and other interested end-users, and now offers more than 160 innovative pest management solutions for vegetable production.
Information on these technologies and methodologies for field and greenhouse vegetable production is available in 12 different languages and can be explored by technique (application techniques, decision support techniques, diagnostics and detection techniques, and monitoring techniques), and also through application range (bacteria, beneficials, fungi, insects, mites, nematodes, and viruses).
Other news in the newsletter includes updates on the network’s practice abstracts, publications and activities, plus a look at a SmartProtect webinar. The webinar examines four technologies, encompassing a farm management information system with mobile solutions for scouting and sampling, Internet of Things (IoT) devices such as sensors and smart traps for automatic pest measurement, Big Data and Artificial Intelligence (AI).
Addressing AI, the webinar explores how machine learning and deep learning can establish new correlations, such as phenology with pest populations, sampling data with pest populations and climate conditions with pest populations.
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Last update: 24/05/2023 - ENDURE © 2009 - Contact ENDURE - Disclaimer