Beef Systems Analyzer

The Beef Systems Analyzer is a decision-support tool developed by the University of Kentucky Beef Extension Team with funding from the Kentucky Agriculture Development Fund. The project uses logic-based modeling to help beef producers evaluate their management and marketing practices by guiding them through a structured series of questions. Based on the responses, the analyzer identifies the most critical management changes needed to improve farm efficiency, productivity, profitability, and safety. Each recommendation is supported with practical educational resources, including videos and fact sheets, enabling producers to confidently implement best practices within their operations.

Client Location
Puerto Rico
Duration
6 months
Year
2021

Key Featured & Technologies

Ajax Css Html Js PHP Wordpress

Challenges

Beef producers often face difficulty identifying the most effective management and marketing changes for their operations. With many variables influencing performance, it can be challenging to determine which decisions will have the greatest impact on efficiency, productivity, profitability, and safety. Additionally, producers may lack access to clear, operation-specific guidance and practical resources that translate recommendations into real-world, actionable improvements.

Solutions

The Beef Systems Analyzer addresses these challenges through a logic-based modeling approach that guides producers through a structured series of questions about their management and marketing practices.The system delivers targeted recommendations that highlight the most critical changes needed to improve each operation. Every recommendation is supported by practical implementation resources, including instructional videos and fact sheets, helping producers confidently apply best practices and achieve.

Project Results

100%
Improved Decision Support
1:1
Operation-Specific Recommendations
2+ Resource Types
Videos & Fact Sheets per Insight
100% Coverage
Management Decision Flow

Key Features

1

Logic-Based Modeling

2

Question-Driven Workflow

3

Targeted Recommendations

4

Educational Resources

5

Extension-Backed Content

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