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Benchmarking seven forecasting approaches on AgriPriceBD — a novel daily agricultural commodity price dataset of five commodities for Bangladesh. Covers BiLSTM, Transformer, Time2Vec ablation, Prophet and Informer failure analysis, with Diebold-Mariano significance testing.
Reproducible analysis code and figure-generation scripts supporting the study of regional dairy productivity convergence and distribution dynamics in Azerbaijan (2000–2024).
A data-driven audit correlating Giles County’s Dec 2025 financials with the TN GIFT Act (SB2480). Models leveraging ag acreage to stabilize EMS & Highway budgets without raising property taxes. Proof of concept for the 'Citadel' Protocol: sustainable, intrastate stewardship.
A project to estimate Finger Millet production using data analysis and prediction models — includes data preprocessing, visualization, and yield forecasting.
Reproducibility package for a study linking regional U.S. dairy nutrition (DMI, NDF, hemicellulose) and farm economics to greenhouse gas emission intensity across nine major U.S. dairy production regions (2020).
SQL-based analysis of agricultural export trade data using UN Comtrade data. Includes commodity performance, export destination analysis, value-per-kilogram metrics, and trade trend insights.
Production-grade ML and microeconomic policy simulation tool evaluating smallholder agricultural input subsidies, price shocks, and factor efficiencies in Nigeria.
This repository contains code and Dataset as a art of my undergraduate project on the topic of Predicting Prices of Volatile Agricultural crops of Kolkata Market Using Robust Feature engineering-Driven ML models
Hybrid ARIMA-LSTM forecasting for volatile agricultural price series, with random-forest feature engineering. Classical time series and neural forecasting combined.
🌾 Interactive microeconomic policy simulation tool mapping smallholder certification barriers, structural value chain exclusion, and behavioral climate adoption dynamics using primary field data from Edo State, Nigeria. Built with a Predictive Random Forest Regressor backend.
Public-data audit of Japan’s rice industry, mapping price, contract, inventory, policy, and traceability from producers to consumers, with reproducibility materials.
Econometric + Monte Carlo forecasting model for U.S. cotton planted acreage, rebuilt in Python from a published applied ag-economics analysis (Southern Ag Today, 2025).