Dataset and Source Code for: Maximizing Cotton Returns: A Deep Learning Approach to Weather Integrated Price Forecasting in Tamil Nadu

This dataset contains the complete data and source code supporting the study on cotton price forecasting using deep learning in Tamil Nadu, India. It includes: (1) weekly cotton price data for Salem and Perambalur markets (2010–2025) from AGMARKNET, integrated with meteorological variables (rainfall, temperature, solar radiation, humidity) sourced from the NASA POWER database; (2) cleaned and preprocessed datasets for both districts; and (3) Jupyter Notebook source code implementing the hybrid GRU–LSTM deep learning model and comparative neural network architectures for univariate and multivariate price forecasting. The dataset also supports Benefit–Cost Ratio analysis of cotton-based cropping systems in Tamil Nadu.