Review Open access

AI-driven tri-typing in agriculture: Current advances, future frontiers

Shabbir Hussain Ishrat Naureen Madiha Habib F. Awan Hasham Feroz Ghuman Alam Sher Muhammad Waheed Riaz Hafiz M. Usman Saddam Hussain F. Kong Xiao-Cun Zhang

Aug 2026 · Molecular breeding · Vol 46 · 0 citations · 286 references

Medicine

TL;DR

This review will provide a comprehensive overview of the historical background, current status, and prospects for integrating AI and ML tools in agricultural tri-typing, encompassing genotyping, phenotyping, and envirotyping, and explore AI-driven tools for genome analysis, HTPP platforms, and environmental data integration.

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