Review
Open access
Jul 2026
Artificial intelligence in soil microbiome-driven agriculture: from practical limits to a translational roadmap
A five-phase implementation framework integrating centralized data systems, AI-driven analytics, multi-omics profiling, standardized soil sampling, and feedback-based model retraining within precision agriculture systems is proposed, providing a pathway for translating microbiome insights into field-scale decision support.
A. Balkrishna, Priyanka Chaudhary, Shelly Singh et al.
· Frontiers in microbiomes · 0 citations