Students will analyze real-world irrigation systems, generate and refine investigable mathematical questions about water efficiency and cost, and develop a focused research question with a justified hypothesis to guide their linear systems investigation.

Students will design a rigorous, evidence-based methodology to investigate their irrigation system research question, ensuring their approach aligns to linear systems modeling, data quality standards, and authentic agricultural constraints before beginning data collection.

Students will systematically gather quantitative irrigation data aligned to their investigable questions, document collection conditions with precision, conduct mid-collection quality checks, and compile organized raw datasets that will serve as the evidence base for later linear systems analysis and economic modeling.

Students will transform collected irrigation data into meaningful interpretations by constructing graphs, identifying mathematical patterns and anomalies, challenging one another’s interpretations, and determining whether their evidence supports or complicates their original hypotheses about irrigation efficiency and economic viability.

Students will synthesize their irrigation system investigation by writing evidence-based conclusions, explicitly acknowledging limitations, generating new research questions, and presenting a professional report and defense to local farmers and irrigation experts.