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