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#

fao

Here are 23 public repositories matching this topic...

Implements weather station class in Python that calculates ETo (reference crop's evapotranspiration) based on UN-FAO Irrigation and Drainage Paper 56

  • UpdatedJan 10, 2024
  • Python

The python module can be used to scrape data and process data from different sources. The python module can output data as either as a dataframe in the country year format or it will output data in excel files This module has primarily been created for processing data for the International Futures (IFs) Project however, it can be used to process…

  • UpdatedJan 11, 2020
  • Python
food-energy-flows

AquaCropPlotter is an R Shiny app for processing and visualizing FAO AquaCrop model output files.

  • UpdatedJan 31, 2025
  • R

Search and download FAOSTAT bulk download files

  • UpdatedFeb 3, 2020
  • R

Form.io API Server and Form Builder Client Docker Image

  • UpdatedJul 6, 2018
  • JavaScript

Evapotranspiration for the reference crop in Uzbekistan. Based on UN-FAO's Irrigation and Drainage Paper 56 and Penman-Monteith Equation.

  • UpdatedApr 13, 2021
  • Jupyter Notebook

This repo is a demo to calculate reference ET at hourly time step based on FAO Penman_Monteith Equation

  • UpdatedMar 5, 2020
  • Jupyter Notebook

Extract fish details from food product descriptions

  • UpdatedMar 26, 2021
  • Ruby
united-nations-fao-statistics-dotnet

FAO is dedicated to collecting, analysing, interpreting and disseminating food and agriculture statistics that are relevant for decision-making.

  • UpdatedNov 10, 2022
  • C#

This project evaluates trends in food production and consumption over the years, and uses data to tell a story of how the world food shortage problem can be solved.

  • UpdatedJan 17, 2023
  • Jupyter Notebook

R-Shiny dashboard offering visualisations of species occurrence data extracted from multiple open-access biodiversity information systems ...

  • UpdatedDec 15, 2021
  • R

This model is design by FAO and its use for calculating the amount of water that is lost due to evaporation or absorbed by the plant due to transpiration during the cultivation cycle.

  • UpdatedOct 26, 2019
  • Jupyter Notebook

The OpenFisheries.org project seeks to advance the practice of data science in fisheries. The project does this by consolidating global fisheries datasets through an open web platform and viewing this data through a lens of modern analytics.

  • UpdatedNov 11, 2022
  • C#

A RDF Harvester written in Java

  • UpdatedJun 21, 2022
  • Java

LinkML rendering of FAO domestic-animal-diversity schema EXPERIMENTAL

  • UpdatedNov 19, 2021
  • Python

Portfolio Project for CSU MIS500

  • UpdatedMay 13, 2018
  • R

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