Tarspotter

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Tar spot of Corn Forecaster

Gratis

1.25for iPhone, iPad and more

University of Wisconsin Nutrient and Pest Management Program

Developer

2 MB

Size

Apr 30, 2023

Update Date

Business

Category

Age Rating

App Store Entwickler-Website

Age Rating

Apps in this category do not contain restricted content.

Apps in this category may contain mild or occasional cartoon, fantasy or real-life violence, as well as occasional or mild adult, sexually suggestive or horrifying content and may not be suitable for children under 9 years of age.

12+

Apps in this category may contain occasional mild indecent language, frequent or intense cartoon or real-life violence, minor or occasional adult or sexually suggestive material, and simulated gambling, and may be for children under 12 years of age.

17+

You must be at least 17 years old to access this App.

Apps in this category may contain frequent and intense offensive language; Frequent and intense cartoon, fantasy or realistic violence: frequent and intense adult, scary and sexually suggestive subjects: as well as sexual content, nudity, tobacco, alcohol and drugs, may not be suitable for children under 17 years of age.

Tarspotter Screenshots

iPad

iPhone

About Tarspotter

The purpose of Tarspotter is to assist farmers in making fungicide management decisions for tar spot disease on corn. The best time to manage tar spot is during V10 to R3 growth stage. Tar spot fungal spores which infect corn, leading to the development of tar spot. University research has indicated that the appearance of Tar spot fungus can be predicted using several variables including weather. Based on this research, models have been developed to forecast the risk of Tar spot fungus being present in a corn field. Farmers can easily input site-specific information about their corn field into this app, which combines this information with the research-based models to predict the best timing for tar spot treatment.
Tarspotter uses GPS coordinates to determine if weather has been favorable for the development of Tar spot fungus during corn flowering in a specific field. Models in the app use real-time weather to predict the dates of favorable conditions for most corn growing regions. Based on these predictions and crop phenology, a site-specific risk prediction is generated.