Dataset for: A Hybrid Agro-Economic Framework with Elasticity-Based Demand Modeling for Intelligent Crop Recommendation
Published: 1 June 2026| Version 1 | DOI: 10.17632/nzcn4bktc5.1
Contributors:
Pradeep Ghantasala G S, Bhuvan Unhelkar, Prasun Chakrabarti, Vidyullatha Pellakuri, Veeresalingam Guruguntla, Abhishek Dasore, Description
This repository contains the processed datasets, derived features, figures, tables, and supporting materials used in the study "A Hybrid Agro-Economic Framework with Elasticity-Based Demand Modeling for Intelligent Crop Recommendation." The dataset integrates weather, soil, and agricultural market information, including elasticity-based demand estimates, for the development and evaluation of machine learning-based crop recommendation models.
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Categories
Agricultural Science, Agricultural Economics, Data Science, Machine Learning, Precision Agriculture