Automated Discovery of Food Webs from Ecological Data Using Logic-Based Machine Learning

Open Access

Peer-reviewed

Research Article

David A. Bohan ,

* E-mail: weed.dynamics@gmail.com

Affiliations Rothamsted Research, West Common, Harpenden, Herts, United Kingdom, INRA, UMR 1210 Biologie et Gestion des Adventices, BP 86510, Dijon, France
⨯
Geoffrey Caron-Lormier,

Affiliation Rothamsted Research, West Common, Harpenden, Herts, United Kingdom
⨯
Stephen Muggleton,

Affiliation Computational Bioinformatics Laboratory, Department of Computing, Imperial College London, London, United Kingdom
⨯
Alan Raybould,

Affiliation Syngenta, Jealott's Hill International Research Centre, Bracknell, Berks, United Kingdom
⨯
Alireza Tamaddoni-Nezhad

Affiliation Computational Bioinformatics Laboratory, Department of Computing, Imperial College London, London, United Kingdom
⨯

Reader Comments (0)

Predation
Is the Subject Area "Predation" applicable to this article?

Thanks for your feedback.
Food
Is the Subject Area "Food" applicable to this article?

Thanks for your feedback.
Food web structure
Is the Subject Area "Food web structure" applicable to this article?

Thanks for your feedback.
Machine learning
Is the Subject Area "Machine learning" applicable to this article?

Thanks for your feedback.
Invertebrates
Is the Subject Area "Invertebrates" applicable to this article?

Thanks for your feedback.
Ecosystems
Is the Subject Area "Ecosystems" applicable to this article?

Thanks for your feedback.
Larvae
Is the Subject Area "Larvae" applicable to this article?

Thanks for your feedback.
Species interactions
Is the Subject Area "Species interactions" applicable to this article?

Thanks for your feedback.