A Data-Driven, Farmer-Oriented Agricultural Crop Recommendation Engine (ACRE). - Rohit Patel; Inavamsi Enaganti; Mayank Ratan Bhardwaj; Y. Narahari (BDA, 2022)

Incentive Compatible Mechanisms for Efficient Procurement of Agricultural Inputs for Farmers through Farmer Collectives. - Mayank Ratan Bhardwaj; Azal Fatima; Inavamsi Enaganti; Yadati Narahari (COMPASS, 2022)

Maxmin Participatory Budgeting. - Gogulapati Sreedurga; Mayank Ratan Bhardwaj; Yadati Narahari (IJCAI, 2022)

Designing Fair, Cost-Optimal Auctions Based on Deep Learning for Procuring Agricultural Inputs Through Farmer Collectives. - Mayank Ratan Bhardwaj; Bazil Ahmed; Prathik Diwakar; Ganesh Ghalme; Y. Narahari (CASE, 2023)

A Decision Support Tool for District Level Planning of Agricultural Crops for Maximizing Profits of Farmers. - Mayank Ratan Bhardwaj; Abhishek Chaudhary; Inavamsi Enaganti; Kartik Sagar; Y. Narahari (CASE, 2023)

An Innovative Deep Learning Based Approach for Accurate Agricultural Crop Price Prediction. - Mayank Ratan Bhardwaj; Jaydeep Pawar; Abhijnya Bhat; Deepanshu; Inavamsi Enaganti; Kartik Sagar; Y. Narahari (CASE, 2023)