Natural Resources Institute supporting CONNECTED training opportunities

24th April 2019

The CONNECTED network is hugely grateful to staff from the Natural Resources Institute (NRI), University of Greenwich, who are providing important help to our project’s offering of unique research opportunities to African students. You can read an article on the NRI website, outlining…

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PlantVillage: cassava whitefly

5th April 2019

Many network members will be interested to learn about a new webpage, focusing on cassava whitefly, that has been published on the PlantVillage website. PlantVillage editors are currently looking for curator/s for this page, and it might be that enthusiastic network member/s would…

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Huge success of virus and vector diagnostic training could lead to similar future opportunities

4th April 2019

Members of the CONNECTED management board are actively looking to arrange further virus and vector diagnostic training for its early career researcher members, following the resounding success of the course it ran in Kenya in March 2019. An innovative partnership between CONNECTED and…

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Member blog & video: Training in bioinformatics sponsored by CONNECTED

3rd April 2019

Edith Avedi, one of our network members, has written this blog specially for the CONNECTED website. Edith successfully applied for CONNECTED funding to attend a bioinformatics course which began in January 2019 at The Swedish University of Agricultural Sciences. Training in bioinformatics at…

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Member blog & video: Reflections on CONNECTED-funded attendance at bioinformatics course

1st April 2019

This blog has been specially written for the CONNECTED website by Adedapo O. Adediji, one of our network members who successfully applied for CONNECTED funding to attend a bioinformatics course which began in January 2019 at the The Swedish University of Agricultural Sciences…

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New publication: A Mobile-Based Deep Learning Model for Cassava Disease Diagnosis

1st April 2019

Network members might be interested to read a new publication relating to a field test of a cassava disease diagnostic tool under field conditions. You can use this link to read ‘A Mobile-Based Deep Learning Model for Cassava Disease Diagnosis’

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