3 papers
cs.AI2026
Agri-SCHOLAR: Simulation-Grounded In-Season Rolling Advisories for Agricultural Crops Using LLM-Bounded Optimization
Geetha Charan, Vedant Balasubramaniam, Manojkumar Patil +5
Existing agricultural advisories to farmers suffer from several limitations: (a) remain largely expert-driven, (b) do not adequately account for in-season weather, and (c) do not s…
cs.AI2026
Agri-SAGE: Simulation-Grounded Multi-Agent LLM for Context-Aware Agricultural Advisory Generation
Vedant Balasubramaniam, Geetha Charan, Manojkumar Patil +4
Agricultural advisory systems face a fundamental tension: static agronomic guidelines offer consistent, evidence-based recommendations, yet remain blind to in-season variability an…
econ.GN2026
Carbon Farming: An Expository, Inter-Disciplinary Survey
V. Priyanka, Geetha Charan, Rohit P. Suresh +10
Carbon farming is the collection of agricultural best practices specifically designed to maximize the capture and long-term storage of atmospheric carbon dioxide in soils and plant…