Table 2. Examples of public agricultural big data with related references.
| Type | Source | References |
|---|---|---|
| Meteorology and RS data | Cloud computing-based earth | AWS (2017) |
| Cloud computing-based Google earth engine | Google Earth Engine (2017) | |
| Cloud computing-based NASA, NOAA | NASA (2017) and National Oceanic and Atmospheric Administration (2017) | |
| Cloud computing-based labor statistics | United States Bureau of Labor Statistics (2017a) | |
| Survey | National Agricultural Statistics Services (NASS) | United States Department of Agriculture (2017b) |
| Financial | National Water Economy Database (NWED) | Rushforth & Ruddell (2017) |
| Scientific data | Scientific Research Centers in Agriculture | United States Department of Agriculture (2018b) |
| Geospatial, water and soil | Natural Resources Conservation Service (NRCS) | United States Department of Agriculture (2018c) |
| Sales and prices | Agricultural Marketing Services | United States Department of Agriculture (2018a) |
| Marketing | World Agricultural Outlook Board | United States Department of Agriculture (2018d) |
| Generic | Global Open Data for Agriculture and Nutrition | United States Department of Agriculture (2022) |
Notes.
Modified after U.S. Department of Agriculture (USDA).