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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.
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.
If you are involved in the agriculture sector, you probably know about USDAs National Agricultural Statistics Service (NASS).
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.
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.
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While response to the Census of Agriculture is required by law, USDA will not fine a producer who does not return their ag census form.
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.
West Virginias leading farm commodities include beef cattle, broiler chickens, hay, dairy products, apples, corn, and turkeys. Broilers are the top agricultural commodity produced. About 10 million chickens are raised annually along the border.

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