Dr Kanthu Joseph Mhango
Joseph combines agronomy, crop physiology, deep phenotyping and causal computation to build physiologically meaningful decision-support systems.
People
Members of the Causal Biosystems Lab and their research projects.
Sarah-Jane Childs
Sarah-Jane develops high-throughput approaches for connecting canopy observations with physiological traits and crop performance.
Femi Adekoya
Femi combines field sensing, crop modelling and machine learning to support earlier crop-health decisions in cassava systems.
Callum Barnsley
Callum studies how processing choices influence the reliability of reconstructed 3D environments and digital assets.
Megan J. Lewis
Megan uses spatial data science and network analysis to study how carbon-accounting tools and advisory support move through agricultural knowledge networks.
Collaborate with us
We welcome conversations with researchers, breeders, physiologists, engineers and industry partners working on mechanism-aware phenotyping, crop modelling, sensing or agricultural decision support. See Contact.