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We will be exhibiting at New Scientist Live on the 10th-12th October 2026 - come and visit us!We will be exhibiting at New Scientist Live on the 10th-12th October 2026 - come and visit us!We will be exhibiting at New Scientist Live on the 10th-12th October 2026 - come and visit us!We will be exhibiting at New Scientist Live on the 10th-12th October 2026 - come and visit us!We will be exhibiting at New Scientist Live on the 10th-12th October 2026 - come and visit us!We will be exhibiting at New Scientist Live on the 10th-12th October 2026 - come and visit us!We will be exhibiting at New Scientist Live on the 10th-12th October 2026 - come and visit us!We will be exhibiting at New Scientist Live on the 10th-12th October 2026 - come and visit us!We will be exhibiting at New Scientist Live on the 10th-12th October 2026 - come and visit us!We will be exhibiting at New Scientist Live on the 10th-12th October 2026 - come and visit us!We will be exhibiting at New Scientist Live on the 10th-12th October 2026 - come and visit us!We will be exhibiting at New Scientist Live on the 10th-12th October 2026 - come and visit us!We will be exhibiting at New Scientist Live on the 10th-12th October 2026 - come and visit us!We will be exhibiting at New Scientist Live on the 10th-12th October 2026 - come and visit us!We will be exhibiting at New Scientist Live on the 10th-12th October 2026 - come and visit us!We will be exhibiting at New Scientist Live on the 10th-12th October 2026 - come and visit us!

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Data Repositories, Model and Software

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Interactive Web Based Tools

Croprotect

CROPROTECT is a web-based knowledge exchange system to provide farmers and agronomists with guidance on pest, weed and disease management, especially in situations where effective pesticides are not available and alternative approaches are required.

Contact for general enquiries: Laura Crook

Contact for disease information: Jon West 

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Knetminer

KnetMiner provides an easy to use, web interface to visualisation and data mining tools for the discovery and evaluation of candidate genes from large scale integrations of public and private data sets.

Contact: Keywan Hassani-Pak

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