Data layering refers to the process of stacking different types of information or datasets in a structured manner to enhance analysis and decision-making. This method is particularly useful in agriculture, where various layers can represent soil characteristics, crop health, weather data, and management practices. By integrating these layers, farmers can gain a comprehensive understanding of their fields and make informed decisions for precision agriculture.
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