mumarc8-prog/maji-ndogo-analytics

"Python-based data analytics and path-planning algorithms developed for agricultural and water resource management case studies." # Module 3 Case Study: Tractor Traversal Algorithm ## 1. The Business Problem The Ministry of Agriculture required a reliable, automated path-planning algorithm for tractor field coverage. The goal was to build a modular, composable Python framework to execute efficient serpentine (zigzag) field traversals while safely handling obstacles. ## 2. The Tech Stack - **Language:** Core Python 3 - **Concepts:** Functional Decomposition, Control Flow, List Comprehensions, Modular Design ## 3. The Deliverable ### Case Study Screenshots & Evidence ## 4. The "So What?" (Business Impact) By replacing a monolithic script with modular functions, field operations reduce unnecessary turning maneuvers, saving fuel. This flexible pipeline allows new field conditions to be integrated without rewriting core navigation logic.