Food and Agriculture Biomass Input-Output Tables
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Updated
Jun 25, 2026 - R
Food and Agriculture Biomass Input-Output Tables
Food and Agriculture Biomass Input-Output Tables
AI skills for analyzing UN FAOSTAT food & agriculture data — country profiles, trade analysis, climate assessments, commodity briefings. Plugin for Claude Code & Codex.
Crop yield prediction using ML on real-world weather, pesticide, and agricultural data.
This repository contains the work done as a part of a Data Analytics Program at neuefische.
Global food & agriculture statistics from the UN FAOSTAT bulk-download corpus, served from a local SQLite mirror with a DataCanvas SQL surface, over MCP. STDIO & Streamable HTTP.
FoodLife MRIO Pipeline - Analysing the biodiversity impacts of food consumption
How the carbon intensity of the same animal product varies across the world: a roughly 70-fold spread in beef, efficiency archetypes, and how intensity has improved since 1961. Built on FAOSTAT emission intensities.
This script is designed to be flexible and adaptable to any FAOSTAT data. Making it a useful tool for exploring and visualizing FAOSTAT datasets.
Land-Use Efficiency and Crop Yield Trends in the European Union: a data-driven assessment using FAOSTAT data (1995 - 2024)
Global crop production analysis using Python and Power BI (2000-2023) | FAOSTAT data | Interactive dashboard
build a multilayer perceptron model that can be used for forecasting the export value of crop products for a geographical region three years into the future
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