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Disease forecasting

AI-generated Abstract

This paper presents a comprehensive overview of disease forecasting methods, with a focus on the utilization of computer-based models such as Blitecast for predicting late blight in potatoes and tomatoes. Key environmental factors are analyzed, including temperature, humidity, and rainfall, which influence disease development. Various forecasting models are discussed, highlighting their implementation in agricultural practices and the technical aspects of sensor placements and data collection.

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