Data mining in agriculture

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Data mining in agriculture is the application of data science techniques to analyze agricultural data. Drone monitoring and satellite imagery are some of the methods for enabling data collection on soil health, weather patterns, crop growth, pest activity, and other factors. Datasets are analyzed to improve agricultural efficiency, identify patterns and trends, and minimize potential losses.^[1]