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Modeling and remote sensing have become indispensable tools in modern Integrated Pest Management (IPM) by providing precise, timely, and predictive information about pest populations, crop health, and environmental conditions. These tools enhance decision-making, reduce reliance on chemical pesticides, and support sustainable agricultural practices. Modeling in IPM involves the use of mathematical, statistical, and computational frameworks to simulate pest population dynamics, crop growth, and interactions with the environment. Population models, for example, predict pest outbreaks by integrating factors such as temperature, humidity, rainfall, host availability, and pest biology. Degree-day models calculate accumulated heat units to forecast pest development stages, enabling farmers to implement control measures at the most vulnerable points in the pest lifecycle. Simulation models allow evaluation of different management strategies, ______ ___ _____ _________ ___ ____ _____ _________ _________ ___ _______ ______.
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