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National Agricultural Statistics Service (NASS) has 12 regional offices across the country, each of which is responsible for the statistical work in several states. NASS conducts hundreds of surveys every year and prepares reports covering virtually every aspect of U.S. agriculture.
Examples of agricultural data objects include farmer, land, soil, weather, crop, pest, yield, market, and consent. With time and adoption, the scope of the new agricultural data format can also be extended to address the data needs of the entire primary sector.
A comprehensive summary of agricultural activity for the United States and for each state. Includes number of farms by size and type, inventory and values for crops and livestock, producer characteristics, and much more.
Big data provides farmers granular data on rainfall patterns, water cycles, fertilizer requirements, and more. This enables them to make smart decisions, such as what crops to plant for better profitability and when to harvest. The right decisions ultimately improve farm yields.
Most of Canadas crop farming takes place in the Prairie provinces (Alberta, Saskatchewan and Manitoba). Alberta has the most beef cattle operations of any province. Saskatchewan produces the most durum wheat, canola and lentils.
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If you are involved in the agriculture sector, you probably know about USDAs National Agricultural Statistics Service (NASS).
Sensors. In precision agriculture, many sensors are used. For example, weather stations can measure a whole range of features: air temperature and humidity, wind direction and strength, precipitation rate, soil density and acidity. Sometimes we ask farmers for this data, sometimes we measure these indicators ourselves.
United States Ag Data Commons (U.S. Department of Agriculture). Bureau of Economic Analysis (U.S. Department of Commerce). Bureau of Labor Statistics (U.S. Department of Labor). Data.gov - Agriculture. National Agricultural Statistics Service (USDA). *Statistical Abstract of the United States. USA Trade Online.