NanAisha17/FarmSmart-PostHarvestLossSolution
Domain:
agricultureRecord type:
project
Creator:
Nan
Host:
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 …