GrazeOK
Published in academic literature
App Summary
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Detailed Description
Functionality & Mechanism
Developed by Oklahoma State University, GrazeOK functions as a digital decision-support tool for livestock management. The system processes on-site field measurements, including forage height and canopy cover, captured via a streamlined user interface. Users input these metrics alongside operational parameters such as forage species, livestock type, and grazing system (e.g., continuous, rotational). The application then calculates and delivers estimations for stock density, number of pastures, and optimal grazing and rest days, with results displayable on-screen and exportable via email.
Evidence & Research Context
- The app's methodology is grounded in the principles of the established Oklahoman grazing stick for physical forage estimation.
- An Oklahoma Cooperative Extension Service guide on forage production explicitly recommends GrazeOK for obtaining precise, on-site measurements of forage availability.
- The associated guidance positions the app as a critical tool for supplementing and validating broader-scale digital estimates from systems like the NRCS Web Soil Survey.
- Use of the app facilitates data-driven decisions regarding stocking rates and pasture management based on actual field conditions rather than generalized models.
Intended Use & Scope
GrazeOK is designed for livestock managers and agricultural producers as a field-based decision-support tool. Its primary utility is the rapid calculation of stocking density and grazing schedules based on direct forage measurements. The tool provides estimations, and output accuracy is contingent on precise user input; it is not a substitute for comprehensive agronomic consultation.
Studies & Publications
Peer-reviewed research associated with this app.
Assessing Potential Forage Production Using the NRCS Web Soil Survey
Goodman et al. (2017) · Oklahoma State University Extension
Referenced in academic literature; no direct evaluation of the appApp Information
Developer
Oklahoma State UniversityCategory
Evidence Profile
Published in academic literature
Platforms
Updated
Apr 2017
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