Herbicide Injury ID
Published in academic literature
App Summary
App Screenshots










Detailed Description
Functionality & Mechanism Developed by the University of Missouri, this tool facilitates the diagnosis of herbicide injury in crops. The system offers multiple diagnostic pathways: users can identify injury by keying out plant symptoms via a guided questionnaire, searching by herbicide trade name or active ingredient, or browsing by site-of-action group. The interface delivers detailed results, including photographic examples and descriptive text. A direct consultation feature allows for the submission of images and case details to University of Missouri Weed Science Extension experts.
Evidence & Research Context
- The app's diagnostic content is derived from the "Weed Identification and Herbicide Injury Guide for Corn and Soybean," a comprehensive resource authored by University of Missouri weed science specialists.
- The associated research provides diagnostic charts and detailed symptom descriptions for 15 distinct herbicide site-of-action groups relevant to the target cropping systems.
- This resource was specifically developed to assist with the identification of economically significant weeds and herbicide injury in Midwest corn and soybean production.
Intended Use & Scope This tool is intended for agricultural producers, agronomists, and field scouts as a field-based reference for preliminary herbicide injury diagnosis. It facilitates rapid identification of common symptomology but is not a substitute for laboratory analysis. For definitive diagnosis or complex cases, direct consultation with a qualified weed science extension specialist is recommended.
Studies & Publications
Peer-reviewed research associated with this app.
Weed Identification and Herbicide Injury Guide for Corn and Soybean
Bradley et al. (2017) · University of Missouri Extension
Referenced in academic literature; no direct evaluation of the appApp Information
Developer
University of MissouriCategory
Evidence Profile
Published in academic literature
Platforms
Updated
Jun 2018
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