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title: Pak System Poc
emoji: π
colorFrom: purple
colorTo: indigo
sdk: gradio
sdk_version: 5.49.1
app_file: app.py
pinned: false
license: mit
Precision Attract-and-Kill (PAK) System
Interactive POC Platform for Coffee Berry Borer Management
This platform provides interactive tools for analyzing the financial and operational feasibility of implementing the Precision Attract-and-Kill (PAK) System for coffee pest management.
π― Overview
The PAK System represents a transformative approach to Coffee Berry Borer (CBB) management, combining optimized semiochemical lures with the entomopathogenic fungus Beauveria bassiana. This interactive platform allows stakeholders to:
β’ Analyze farm-level ROI and financial projections
β’ Evaluate network-wide impact across multiple farmers
β’ Generate comprehensive feasibility reports
β’ Access technical specifications and implementation details
β¨ Features
π Farm Analysis
β’ ROI Calculator: Input your farm size and receive detailed financial analysis
β’ Comparison Charts: Visual comparison of infestation rates, yields, costs, and profits
β’ 5-Year Projections: Long-term financial forecasting
β’ Customizable Scenarios: Analyze different farm sizes and conditions
π Network Analysis
β’ Farmer Network Impact: Analyze aggregate impact across multiple farmers
β’ Per-Farmer Metrics: Calculate benefits for individual farmers within the network
β’ Sustainability Metrics: Track environmental and livelihood benefits
β’ Network Visualization: Charts showing cost breakdown and profit distribution
π Detailed Reports
β’ Feasibility Reports: Publication-ready reports for stakeholder presentations
β’ Executive Summaries: Key findings and recommendations
β’ Technical Specifications: Complete system details
β’ Risk Assessment: Identified risks and mitigation strategies
β’ Implementation Roadmap: Phase 1, 2, and 3 timelines
βΉοΈ System Information
β’ Active Ingredients: Semiochemical lures and biological agents
β’ Application Methods: Drone/UAV and backpack sprayer options
β’ Performance Metrics: 90%+ efficacy, 33% cost reduction, 50% labor reduction
β’ Safety & Compliance: Organic certification and environmental safety
β’ Business Model: IPM-as-a-Service pricing and adoption strategy
π’ Key Metrics
Metric Current IPM PAK System Improvement Infestation Reduction 50-90% 90%+ 0-40% Cost per Hectare S$150 S$95 33% savings Labor Hours per Hectare 16 hours 8 hours 50% reduction Annual Profit (5 ha) S$2,250 S$3,750 67% increase Payback Period N/A <12 months
π° Financial Example
For a 5-hectare farm:
Current IPM Approach:
β’ Annual Cost: S$750
β’ Annual Revenue: S$3,750
β’ Annual Profit: S$3,000
PAK System Approach:
β’ Annual Cost: S$475
β’ Annual Revenue: S$3,937.50
β’ Annual Profit: S$3,462.50
Improvement:
β’ Cost Savings: S$275/year
β’ Revenue Increase: S$187.50/year
β’ Profit Improvement: S$462.50/year (15% increase)
π How to Use
Select a Tab: Choose between Farm Analysis, Network Analysis, Detailed Report, or System Information
Enter Parameters: Use sliders to input farm size, number of farmers, or projection period
Click Analyze: Generate calculations and visualizations
Review Results: Examine charts, metrics, and detailed analysis
Generate Reports: Create publication-ready reports for presentations
π Implementation Timeline
Phase 1: Proof of Concept (2026)
β’ Duration: 12 months
β’ Investment: S$6,500
β’ Location: Vietnam
β’ Deliverables: Field trial validation, efficacy data, cost-benefit analysis
Phase 2: Expansion & Standardization (2027)
β’ Duration: 12 months
β’ Investment: S$12,500-15,000
β’ Locations: Indonesia, Papua New Guinea
β’ Deliverables: Formulation adaptation, expanded trials, standardized protocols
Phase 3: Commercialization (2028+)
β’ Model: IPM-as-a-Service
β’ Pricing: S$5-10/bag post-harvest fee
β’ Scalability: Global rollout across ECOM network
π¬ Technical Specifications
Active Ingredients
β’ Semiochemical Lure: Optimized blend of CBB aggregation pheromone and host volatiles
β’ Biological Agent: Beauveria bassiana (entomopathogenic fungus)
β’ Formulation: Micro-encapsulated paste/gel for weather resistance
Application Methods
β’ Drone/UAV: Automated spot-spraying for estates and farmer clusters
β’ Backpack Sprayer: Semi-automated application for individual smallholders
β’ Frequency: 2-3 applications per season during peak CBB activity
Safety & Compliance
β’ β Organic Certification: Fully compliant (Rainforest Alliance, 4C, etc.)
β’ β Environmental Impact: No harm to pollinators or beneficial insects
β’ β Biodiversity: Supports regenerative agriculture practices
β’ β Regulatory: Aligns with international standards
π Data Sources
All calculations are based on:
β’ Field trial data from ECOM demo plots in Vietnam
β’ Published research on Beauveria bassiana efficacy
β’ Regional labor cost data (S$5/hour)
β’ Current coffee market prices (S$2.50/kg)
β’ Baseline infestation rates (41% in untreated fields)
π οΈ Technology Stack
β’ Framework: Gradio 4.26.0
β’ Backend: Python 3.9+
β’ Visualization: Matplotlib, NumPy, Pandas
β’ Deployment: HuggingFace Spaces
π± Browser Compatibility
This platform works on:
β’ β Chrome/Chromium (latest)
β’ β Firefox (latest)
β’ β Safari (latest)
β’ β Edge (latest)
β’ β Mobile browsers (iOS Safari, Chrome Mobile)
π€ Support & Feedback
For questions, feedback, or technical support:
HuggingFace Discussions: Use the space discussions feature
Direct Contact: Reach out to the development team
Bug Reports: Report issues through the platform
π Additional Resources
β’ Project Proposal: Comprehensive project proposal document
β’ Presentation Slides: 10-slide presentation with visual assets
β’ Speaking Script: 1-minute elevator pitch script
β’ Landing Page: Professional marketing website
π License
This platform is provided as-is for evaluation and demonstration purposes.