2024 USA Soybean Production Forecasts
20240813 Production Forecast (Bushel): 4387109153
Year on year changes: 5.34 %
Heat map of soybean production in the US (predicted values)
Agrometeorological indicators: ERA5, EAR5 Last update:20240813
Display content is for research purposes only
20240813 Production Forecast (Bushel): 4387109153
20240810 Production Forecast (Bushel): 4353147425
2024 USA Soybean Production Forecasts
20240810 Production Forecast (Bushel): 4353147425
Year on year changes: 4.53 %
Heat map of soybean production in the US (predicted values)
Agrometeorological indicators: ERA5, EAR5 Last update:20240810
Display content is for research purposes only
20240808 Production Forecast (Bushel): 4315923489
2024 USA Soybean Production Forecasts
20240808 Production Forecast (Bushel): 4315923489
Year on year changes: 3.63 %
Heat map of soybean production in the US (predicted values)
Agrometeorological indicators: ERA5, EAR5 Last update:20240808
Display content is for research purposes only
20240805 Production Forecast (Bushel): 4299551777
2024 USA Soybean Production Forecasts
20240805 Production Forecast (Bushel): 4299551777
Year on year changes: 3.24 %
Heat map of soybean production in the US (predicted values)
Agrometeorological indicators: ERA5, EAR5 Last update:20240805
Display content is for research purposes only
Global Crop Production Forecasts
FAO-AMIS Wheat Production Forecasts (2012-2023)
IGC Wheat Production Forecasts (2012-2023)
USDA Wheat Production Forecasts (2012-2023)
FAO-AMIS Maize Production Forecasts (2012-2023)
IGC Maize Production Forecasts (2012-2023)
USDA Maize Production Forecasts (2012-2023)
FAO-AMIS Rice Production Forecasts (2012-2023)
IGC Rice Production Forecasts (2012-2023)
USDA Rice Production Forecasts (2012-2023)
FAO-AMIS Soybean Production Forecasts (2012-2023)
IGC Soybean Production Forecasts (2012-2023)
USDA Soybean Production Forecasts (2012-2023)
27 Crops Harvest area and Production
DATASET OVERVIEW
27Crops harvest area and production,crops data from national statistical departments.
Crops:27
Time coverage:2000-2020
Spatial coverage:Global(geo level1/level2)
Country production statistics: Country statistics department
Format:.csv
————————————————————————————
DATE OF DATASET
Creation : 2023-01-17
————————————————————————————
DATASET CREATOR
Name:Zishuo Zhao
E_mail:zhaozishuo6392@outlook.com
————————————————————————————
COLUMN DESCRIPTIONS
crop_id:FAO crop_id
crop:27 crops
year:yyyy
area_code_fao:Unique numeric ID for level 0 (fao/country iso3)
area_country:country_name
zone:Multi-provincial regions
state_code:FAO State/province/equivalent (level 1)
state:state/province name
region_code:Unique numeric ID for level 2,County/district/equivalent (level 2)
region:district/county name
sown_area:thsd.ha
harvest_area:thsd.ha
production:thsd.tn
————————————————————————————
crops | Argentina | Australia | Brazil | Poland | Germany | Canada | China | Russia | India | Myanmar | Mexico | Ukraine | Thailand | Viet Nam | Indonesia | kazakhstan |
wheat | √ | √ | √ | √ | √ | √ | √ | √ | √ | √ | √ | √ | √ | |||
rice | √ | √ | √ | √ | √ | √ | √ | √ | √ | √ | √ | √ | ||||
maize | √ | √ | √ | √ | √ | √ | √ | √ | √ | √ | √ | √ | √ | √ | ||
soybean | √ | √ | √ | √ | √ | √ | √ | √ | ||||||||
barly | √ | √ | √ | √ | √ | √ | √ | √ | √ | |||||||
Buckwheat | √ | √ | ||||||||||||||
cassava | √ | √ | ||||||||||||||
chickpeas | √ | |||||||||||||||
cocoa | √ | |||||||||||||||
coffee | √ | |||||||||||||||
cotton | √ | √ | √ | √ | √ | √ | √ | |||||||||
flaxseed | √ | √ | ||||||||||||||
lentils | √ | |||||||||||||||
millet | √ | √ | √ | |||||||||||||
mungbean | √ | √ | ||||||||||||||
oats | √ | √ | √ | √ | √ | √ | √ | |||||||||
palmoil | √ | √ | ||||||||||||||
pea | √ | √ | ||||||||||||||
peanut | √ | √ | √ | √ | ||||||||||||
rapeseed | √ | √ | √ | √ | √ | √ | √ | √ | ||||||||
rye | √ | √ | √ | |||||||||||||
sorghum | √ | √ | √ | √ | √ | √ | ||||||||||
rubber | √ | √ | √ | |||||||||||||
sugarbeet | √ | √ | √ | √ | √ | |||||||||||
sugarcane | √ | √ | √ | √ | √ | √ | ||||||||||
sunflowerseed | √ | √ | √ | √ | √ | √ | √ | |||||||||
triticale | √ | √ |
————————————————————————————
Country | State/level 1 | District/level 2 | Time Coverage |
Argentina | √ | 1990-2020 | |
Australia | √ | √ | 2011/2014-2019 |
Brazil | √ | 1999-2021 | |
Poland | √ | 1999-2020 | |
Germany | √ | 2010-2020 | |
Canada | √ | 1991-2021 | |
China | √ | √ | 1995-2019 |
Russia | √ | 2016-2020 | |
India | √ | 2010-2018 | |
Myanmar | √ | 2012-2019 | |
Mexico | √ | 2012 2014 2017 2019 | |
Ukraine | √ | 2010-2020 | |
Thailand | √ | 2020 | |
Viet Nam | √ | 1995-2020 | |
Indonesia | √ | 1998-2015 | |
kazakhstan | √ | 2016-2020 |
M3Crops (0.1 degree grid)
DATASET OVERVIEW
将数据从M3Crops转移到0.1degreeg grid cells,为进行全球农业和天气分析出作物空间分配基本模式。原数据是cell5m数据,转移到0.1度后,原数据Harvested Area: hectares 不再准确,只有Yield : tons per hectare不变,使用时需要验证数据准确度。
Harvested Area and Yields of 15 crops (M3-Crops Data)
Barley/Cotton/Maize/Oats/Oilpalm/Rapeseed/Rice/Rubber/Rye/Sorghum/Soy/Sugarbeet/Ugarcane/Sunflower/Wheat
Grid:0.1 degree
Format:.csv
————————————————————————————
DATE OF DATASET
Creation : 2023-01-20
————————————————————————————
COLUMN DESCRIPTIONS
gid_0:Unique numeric ID for level 0 (country iso3),Administrative boundaries (level 3)
name_0:country_name
point_id:.shp file export 0.1degree fishnet point id
lat:latitude
lon:longitude
Harvested Area: hectares: Crop-specific data representing the average number of hectares harvested per land-area of a gridcell during the 1997-2003 era
Yield : tons per hectare: Crop-specific data representing the average yield for a crop in tons per hectare during the 1997-2003 era
————————————————————————————
Country | barley | cotton | maize | oats | oilpalm | rapeseed | rice | rubber | rye | sorghum | soybean | sugarbeet | sugarcane | sunflower | wheat |
Argentina | √ | √ | √ | √ | √ | √ | |||||||||
Australia | √ | √ | √ | √ | √ | √ | √ | ||||||||
Bangladesh | √ | ||||||||||||||
Bolivia | √ | ||||||||||||||
Brazil | √ | √ | √ | √ | √ | √ | √ | √ | |||||||
Canada | √ | √ | √ | √ | √ | √ | |||||||||
China | √ | √ | √ | √ | √ | √ | √ | √ | √ | √ | √ | ||||
Columbia | √ | √ | |||||||||||||
Egypt | √ | √ | |||||||||||||
Ethiopia | √ | ||||||||||||||
European | √ | √ | √ | √ | √ | √ | √ | √ | |||||||
India | √ | √ | √ | √ | √ | √ | √ | √ | √ | ||||||
Indonesia | √ | √ | √ | √ | |||||||||||
Iran | √ | √ | √ | √ | |||||||||||
kazakhstan | √ | √ | √ | ||||||||||||
Malaysia | √ | √ | √ | √ | |||||||||||
Mexico | √ | √ | √ | ||||||||||||
Myanmar | √ | ||||||||||||||
Nigeria | √ | √ | √ | √ | √ | ||||||||||
Pakistan | √ | √ | √ | √ | √ | ||||||||||
Paraguay | √ | ||||||||||||||
Philippine | √ | √ | |||||||||||||
Russia | √ | √ | √ | √ | √ | √ | √ | √ | √ | ||||||
SouthAfrica | √ | √ | |||||||||||||
Sudan | √ | ||||||||||||||
Thailand | √ | √ | √ | √ | √ | ||||||||||
Turkey | √ | √ | √ | √ | √ | √ | |||||||||
Ukraine | √ | √ | √ | √ | √ | √ | √ | ||||||||
USA | √ | √ | √ | √ | √ | √ | √ | √ | √ | √ | |||||
Uzbekistan | √ | √ | |||||||||||||
Viet Nam | √ | √ | √ |
————————————————————————————
DATA SOURCE DECLARATION
The following data sources were used to create this dataset. If there is any inconsistency with the SOURCE DATA POLICY, please contact us for modification.
Harvested Area and Yields of 175 crops (M3-Crops Data)
GADM 3.6 – Administrative boundaries (level 1,level 2)
GDHY (0.1 degree grid)
DATASET OVERVIEW
Transfer data from GDHY to 0.1degree grid.The GDHY offers spatially explicit global analyses on crop yields and is especially useful for addressing recent patterns in crop yields and the impacts of recent climate variability and change on global food production; additionally, the GDHY can be used to evaluate global gridded crop model simulations and provide a basis for global and seasonal crop forecasting systems.
————————————————————————————
GDHY Author: Toshichika Iizumi
GDHY Publish Year: 2019
Country yield statistics:FAOSTAT
Spatial resolution:0.5°
Time coverage:1981–2016
Satellite products:Hybrid of dataset versions 1.2 and 1.3
Harvested area:M3-Crops (0.083° and average around 2000)
Crop calendar:SAGE [0.5°and average around 2000]
————————————————————————————
Factor Type(s):year of crop yield data collection
Period:1981–2016
Grid:0.1°
Format:.csv
Crops:Maize (major/second), soybean, rice (major/second), wheat (winter/spring)
————————————————————————————
COLUMN DESCRIPTIONS
year:yield (tonnes per hectare,1981–2016)
lat:latitude
lon:longitude
————————————————————————————
Country | wheat | wheat spring | rice | maize | soybean |
Argentina | √ | √ | √ | ||
Australia | √ | √ | |||
Bangladesh | √ | ||||
Bolivia | √ | ||||
Brazil | √ | √ | √ | √ | |
Canada | √ | √ | √ | ||
China | √ | √ | √ | √ | √ |
Egypt | √ | ||||
Ethiopia | √ | √ | √ | ||
European | √ | √ | √ | √ | |
India | √ | √ | √ | √ | |
Indonesia | √ | √ | |||
Iran | √ | √ | |||
kazakhstan | √ | ||||
Malaysia | √ | ||||
Mexico | √ | ||||
Myanmar | √ | ||||
Nigeria | √ | √ | √ | ||
Pakistan | √ | √ | |||
Paraguay | √ | ||||
Philippine | √ | ||||
Russia | √ | √ | √ | ||
SouthAfrica | √ | √ | |||
Thailand | √ | ||||
Turkey | √ | ||||
Ukraine | √ | √ | √ | ||
USA | √ | √ | √ | √ | |
Uzbekistan | √ | ||||
Viet Nam | √ |
————————————————————————————
DATA SOURCE DECLARATION
The following data sources were used to create this dataset. If there is any inconsistency with the SOURCE DATA POLICY, please contact us for modification.
The global dataset of historical yields for major crops 1981–2016 (GDHY)