Ag Water
Published in academic literature
App Summary
App Screenshots















Detailed Description
Functionality & Mechanism
Developed with University of Arizona researchers, Ag Water is a computational tool for agricultural water management aligned with the FDA Produce Safety Rule. The system's primary module calculates a Microbial Water Quality Profile by ingesting user-provided E. coli sample data to determine the requisite Geometric Mean and Statistical Threshold Value. It facilitates both initial profile establishment and annual rolling updates. A secondary module evaluates microbial contamination probability by integrating environmental data, weather conditions, and site-specific water parameters.
Evidence & Research Context
- The app's risk-assessment function is based on evaluation research that quantified the impact of environmental factors, including rainfall and water temperature, on microbial levels in irrigation sources.
- The system is designed to operationalize federal Produce Safety Rule standards, which require growers to establish a microbial water quality profile to mitigate produce contamination risks.
- An associated research article details the app's iterative development, which incorporated grower feedback to improve functionality and added a Spanish-language interface for broader accessibility.
Intended Use & Scope
This app is a decision-support tool for agricultural growers managing compliance with the Produce Safety Rule. Its primary utility is to perform required statistical calculations for a Microbial Water Quality Profile and provide risk-based guidance for sampling. The system does not conduct water testing; outputs are contingent on accurate user-inputted laboratory data.
Studies & Publications
Peer-reviewed research associated with this app.
Testing Agricultural Water for Fruit and Vegetable Production and Postharvest Handling
Wszelaki et al. (2021) · WSU Extension Publications
Referenced in academic literature; no direct evaluation of the appUA Ag Water app-language expansion and practical grower-inspired improvements
Rock et al. (2017) · Center for Produce Safety
Describes the research-driven development of this appApp Information
Developer
University of ArizonaCategory
Evidence Profile
Published in academic literature
Platforms
Updated
Apr 2022
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