Publications

Enabling Farmers through Game Theory and Artificial Intelligence Based Services

Narahari Y, Bhardwaj MR

NABARD Research Chronicle. April 2024, pp. 22-34.

Novel Algorithms for Improving Agricultural Planning and Operations using Artificial Intelligence and Game Theory

Ph.D. Thesis [pdf]

Designing Fair, Cost-Optimal Auctions Based on Deep Learning for Procuring Agricultural Inputs Through Farmer Collectives

Bhardwaj MR, Ahmed B, Diwakar P, Ghalme G, Narahari Y

IEEE - CASE 2023

An Innovative Deep Learning Based Approach for Accurate Agricultural Crop Price Prediction

Bhardwaj MR, Pawar J, Bhat A, Enaganti I, Sagar K, Narahari Y

IEEE - CASE 2023

A Decision Support Tool for District Level Planning of Agricultural Crops for Maximizing Profits of Farmers

Bhardwaj MR, Chaudhary A, Enaganti I, Sagar K, Narahari Y

IEEE - CASE 2023

A Data-Driven, Farmer-Oriented Agricultural Crop Recommendation Engine (ACRE)

Patel R, Enaganti I, Bhardwaj MR, Narahari Y

Big Data Analytics 2022

Incentive Compatible Mechanisms for Efficient Procurement of Agricultural Inputs for Farmers through Farmer Collectives

Bhardwaj MR, Fatima A, Enaganti I, Narahari Y

ACM COMPASS 2022

Maxmin Participatory Budgeting

Sreedurga G, Bhardwaj MR, Narahari Y

IJCAI ECAI 2022