collaborators

5 papers

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…

econ.GN2026

Quantifying Inter-Annual Seasonal Drift in Tomato Prices Using Dynamic Time Warping: Evidence from Kolar Market

Manojkumar Patil, Lalith Achoth, K. B. Vedamurthy +3

Tomato prices in Kolar market exhibit high volatility alongside recurring seasonal patterns, but the consistency of these patterns across years remains unclear. This study analysed…

econ.GN2026

Input-Output Price Parity and Farm Profitability: A Strategic Perspective for Karnataka

Vaishnavi, Lokesha, H. +3

Agricultural pricing policies are crucial for farm profitability and food security in India. This study analysed how input and output prices significantly influence the profitabili…

econ.GN2026

Unlocking AI's Potential in Agriculture: The Critical Role of Data

K. B. Vedamurthy, Manojkumar Patil, Vaishnavi +4

India generates substantial volumes of public agricultural data, yet artificial intelligence (AI) adoption in farming remains limited and largely confined to pilot initiatives. Thi…