Sampling

Sampling implements sequential sampling plans to quantify and classify plant disease and insect pest incidence for informed integrated pest management decisions.

Key Features:

• Sequential Sampling Plans: Implements sequential sampling algorithms for estimation or classification with stopping rules based on desired statistical precision or action thresholds.
• Guided Sampling Process: Uses disease-specific algorithms that evaluate the number of diseased individuals per sampling unit to determine when sampling should cease.
• Data Management and Sharing: Automatically saves sampling results and supports export of data for external review and analysis.
• Implemented Plan Example: Includes a sequential sampling plan specifically for Cercospora leaf spot of table beet.
• Planned Expansion: Future updates will incorporate additional diseases and insect pests to extend the set of sampling plans.

Scientific Applications:

• Enhanced Decision-Making: Provides incidence estimates and classification outcomes to inform crop protection actions and thresholds in IPM.
• Resource Optimization: Reduces sampling effort by enabling early stopping when precision criteria or action thresholds are met.
• Educational and Research Use: Demonstrates and applies sequential sampling methodologies for extension educators and researchers.

Methodology:

Applies sequential sampling statistical algorithms and disease-specific stopping rules to real-time data collection and analysis, and saves results for export.