After over two years of work, in collaboration with colleagues from the University of Edinburgh, we finally got our paper A conversational multi-agent AI system for automated plant phenotyping published on Nature Communications.
It’s been a long journey, but we got there! Congrats to all the co-authors and collaborators who made this happening.
Plant phenotyping is the identification of effects on plant structure and function (the phenotype) resulting from genotypic differences (i.e., differences in the genetic code) and the environmental conditions a plant has been exposed to. Knowledge Read more
This workshop plans to showcase the challenges raised by working on computer vision for plant phenotyping and agriculture. Workshop goals include demonstrating the state-of-the-art, identifying key unsolved problems, and introducing computer scientists with an interest Read more
Machine learning (ML) has been recognized as central to artificial intelligence (AI) for many decades. The question of how the things that have been learned in one context can be re-used and adapted in other Read more