NanAisha17/FarmSmart-PostHarvestLossSolution

FarmSmart is an innovative solution developed during the AgricConnect Summit Hackathon 2025 to tackle Nigeria's critical post-harvest loss (PHL) problem. # FarmSmart-PostHarvestLossSolution # FarmSmart: Data-Driven Post-Harvest Loss Reduction Solution ## Overview FarmSmart is an innovative solution developed during the AgricConnect Summit Hackathon 2025 to tackle Nigeria's critical post-harvest loss (PHL) problem. Our data-driven approach identifies high-risk areas and crops while providing actionable recommendations to farmers and stakeholders. With annual losses reaching 40% of harvests and costing Nigeria's economy $9 billion, FarmSmart leverages analytics and digital tools to predict, prevent, and reduce these losses - particularly targeting youth engagement in agriculture. ## Key Features - **Smart Alerts**: Identifies high-loss regions and crops using historical data - **Logistics Planning**: Optimizes transport and storage decisions - **Educational Resources**: Teaches best practices for loss prevention - **Stakeholder Network**: Connects farmers with storage providers ## Dataset Insights Our analysis of mock agricultural data revealed: - **51,355.2kg** total post-harvest loss recorded - **Top loss crops**: Maize (22.6%), Tomatoes (21.97%), Onions (17.37%) - **High-risk states**: Oyo, Benue, Plateau - **Primary causes**: - Open-air storage (37% of losses) - Truck transport (49% of losses) - Heat and humidity (58% of spoilage) ## Solution Components 1. **Excel Dashboard**: - Interactive PivotTables for loss analysis - Visualization of loss patterns by crop, region, storage and transport type. - Storage and transport efficiency metrics 2. **Mobile App Prototype**: - Real-time risk alerts - Educational content library - Cold storage provider directory - View Prototype ## Technical Implementation - **Data Tools**: Microsoft Excel (Analysis & Visualization) - **Prototyping**: Pixellab, Figma - **Methods**: - Data cleaning and transformation - PivotTable analysis - Loss percentage calculations - Trend identification ## Team Members - Suleiman Aisha Olanike - Akinde Sekinat Adenike - Ajao Rafiu Keh …