Vedant Balasubramaniam

Researcher · Indian Institute of Science, Bengaluru · India

Vedant works on multi-agent LLM systems for agricultural advisory, combining language-model reasoning with biophysical crop simulation to generate context-aware, agronomically validated recommendations.

1 published paper

Agri-SAGE: Simulation-Grounded Multi-Agent LLM for Context-Aware Agricultural Advisory Generation

A multi-agent AI system that generates season-long farming advice and checks it against a crop growth simulator before recommending it — in a decade-long test on maize in Karnataka, all three reasoning strategies beat static advisory guidelines, with the best approach lifting yields by over 1,150 kg/ha.

Agri Data ScienceMachine LearningAgronomyIndiaCrop Simulation

1 field note

Field notes6 min read

Can an AI Agronomist Actually Beat a Farmer's Calendar?

A team at IISc Bengaluru spent ten years of simulated weather testing whether an AI that argues with a crop simulator can out-farm a fixed planting calendar. It can — but the way it wins is the interesting part.

By Vedant Balasubramaniam, Geetha Charan, Manojkumar Patil, Rohit P Suresh, V Priyanka, Kodur Sai Vinay Sathvik, and Y. NarahariFrom the paper: Agri-SAGE: Simulation-Grounded Multi-Agent LLM for Context-Aware Agricultural Advisory Generation →