Data mining in agriculture

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In agriculture, data mining is the use of data science techniques to analyze large volumes of agricultural data. Recent advancements in technology, such as sensors, drones, and satellite imagery, have enabled the collection of large amounts of data on soil health, weather patterns, crop growth, and pest activity. Data is analyzed to improve agricultural efficiency, identify patterns and trends, potentially spot issues early on and minimize potential losses. It can also be used to better understand environmental effects.^[1]