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This project aims to develop an innovative application for potato growers, enabling them to utilize existing late blight simulation software to forecast disease severity. Key features include user profile management, the ability to import historical and forecast weather data, and treatment planning for fungicide applications. The application will allow users to run simulations of late blight severity over time, providing results in both text and graphical formats. This tool aims to enhance decision-making for effective potato pest management.
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Models in Potato Pest Management (LateBlight) Client: Professor William Fry Sharmin Azam Christopher Brickley Nathan Cormier Ledet Kinfu Cathryn Lao Ashwath Murthy Abhishek Sharma
Goal • Build an application which allows growers to use existing late blight simulation software to predict late blight severity.
Requirements … • Profile Management: • Create profile • Retrieve and edit profile • Select potato cultivar (from file list) in profile • Weather Data: • Import historical data • Retrieve weather forecast from the National Weather Service OR import weather forecast file • Import saved weather file • Extend the historical and forecast data up to an additional 90 days
… Requirements • Treatment and Fungicide Model: • Input and edit treatment information • Schedule fungicide sprays (dosage in pints/acre) • Run Simulation: • Run original late blight simulation model • Output result (severity versus time) in text table • Output result (severity versus time) in graphical format
Models in Potato Pest Management (LateBlight) Thank you !!!