Tarspotter is no longer on the App Store. It had too few ratings to say what users thought.
Tarspotter is made and published by
University of Wisconsin Nutrient and Pest Management Program.
AppBrain is an independent app data site and isn't affiliated with University of Wisconsin Nutrient and Pest Management Program.
The app name, icon, screenshots and description belong to University of Wisconsin Nutrient and Pest Management Program and are shown as
published on the App Store.
About Tarspotter
Tarspotter was a business app developed by University of Wisconsin Nutrient and Pest Management Program. It was removed from the App Store Jun 21, 2025.
User Ratings
Tarspotter was rated 4.00 out of 5 stars, based on one rating ratings.
App Information
Tarspotter was free. The app size was 1.88 MB. The last available version was 1.25. The last update was on April 30, 2023.
Technical Requirements
The app had a content rating of Everyone. The app had been available on the App Store since May 2021.
Description by University of Wisconsin Nutrient and Pest Management Program(from the App Store)
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.
Each subscription will automatically renew 3 days before the expiration date for
the same time period. Subscriptions can be cancelled at any time before the renewal.