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Update app.py
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app.py
CHANGED
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@@ -4,6 +4,8 @@ import pandas as pd
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import matplotlib.pyplot as plt
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from datetime import datetime, timedelta
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import json
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# ============================================================================
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# PAK System Configuration and Constants
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@@ -75,8 +77,8 @@ def calculate_roi(farm_size_ha, years=1):
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# ROI Calculation
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profit_improvement = pak_profit - current_profit
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cost_savings = current_costs
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roi_percentage = (profit_improvement / current_costs
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return {
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'current_infestation': current_infestation,
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@@ -85,14 +87,14 @@ def calculate_roi(farm_size_ha, years=1):
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'pak_yield': pak_yield,
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'current_revenue': current_revenue,
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'pak_revenue': pak_revenue,
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'current_costs': current_costs
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'pak_costs': pak_costs
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'current_profit': current_profit,
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'pak_profit': pak_profit,
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'profit_improvement': profit_improvement,
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'cost_savings': cost_savings,
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'roi_percentage': roi_percentage,
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'payback_period_months': (pak_costs
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}
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def generate_comparison_chart(farm_size_ha):
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# Generate summary report
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summary = f"""
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comparison_chart = generate_comparison_chart(farm_size_ha)
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timeline_chart = generate_timeline_projection(farm_size_ha, years=5)
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roi_data = calculate_roi(total_hectares)
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summary = f"""
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# Create network visualization
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fig, axes = plt.subplots(1, 2, figsize=(14, 6))
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@@ -343,166 +345,166 @@ def generate_detailed_report(farm_size_ha, years=5):
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roi_data = calculate_roi(farm_size_ha)
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report = f"""
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PRECISION ATTRACT-AND-KILL (PAK) SYSTEM
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DETAILED FEASIBILITY REPORT
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return report
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import matplotlib.pyplot as plt
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from datetime import datetime, timedelta
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import json
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import io
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from PIL import Image
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# ============================================================================
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# PAK System Configuration and Constants
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# ROI Calculation
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profit_improvement = pak_profit - current_profit
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cost_savings = current_costs - pak_costs
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roi_percentage = (profit_improvement / current_costs) * 100 if current_costs > 0 else 0
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return {
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'current_infestation': current_infestation,
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'pak_yield': pak_yield,
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'current_revenue': current_revenue,
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'pak_revenue': pak_revenue,
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'current_costs': current_costs,
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'pak_costs': pak_costs,
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'current_profit': current_profit,
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'pak_profit': pak_profit,
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'profit_improvement': profit_improvement,
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'cost_savings': cost_savings,
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'roi_percentage': roi_percentage,
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'payback_period_months': (pak_costs / (profit_improvement / 12)) if profit_improvement > 0 else float('inf')
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}
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def generate_comparison_chart(farm_size_ha):
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# Generate summary report
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summary = f"""
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ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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β PAK SYSTEM ROI ANALYSIS - {farm_size_ha} HECTARES
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ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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INFESTATION CONTROL
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ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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Current IPM Infestation Rate: {roi_data['current_infestation']*100:.1f}%
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PAK System Infestation Rate: {roi_data['pak_infestation']*100:.1f}%
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Improvement: {(roi_data['current_infestation'] - roi_data['pak_infestation'])*100:.1f}%
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YIELD IMPACT
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ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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Current IPM Yield: {roi_data['current_yield']:.0f} kg/ha
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PAK System Yield: {roi_data['pak_yield']:.0f} kg/ha
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Additional Yield: {roi_data['pak_yield'] - roi_data['current_yield']:.0f} kg/ha
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FINANCIAL ANALYSIS (Annual)
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ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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Current IPM:
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β’ Total Cost: S${roi_data['current_costs']:,.0f}
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β’ Revenue: S${roi_data['current_revenue']:,.0f}
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β’ Profit: S${roi_data['current_profit']:,.0f}
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PAK System:
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β’ Total Cost: S${roi_data['pak_costs']:,.0f}
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β’ Revenue: S${roi_data['pak_revenue']:,.0f}
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β’ Profit: S${roi_data['pak_profit']:,.0f}
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RETURN ON INVESTMENT
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ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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Annual Profit Improvement: S${roi_data['profit_improvement']:,.0f}
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Annual Cost Savings: S${roi_data['cost_savings']:,.0f}
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ROI Percentage: {roi_data['roi_percentage']:.1f}%
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Payback Period: {roi_data['payback_period_months']:.1f} months
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5-YEAR PROJECTION
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ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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Current IPM Total Profit (5 years): S${roi_data['current_profit']*5:,.0f}
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PAK System Total Profit (5 years): S${roi_data['pak_profit']*5:,.0f}
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Additional Profit (5 years): S${(roi_data['pak_profit'] - roi_data['current_profit'])*5:,.0f}
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"""
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comparison_chart = generate_comparison_chart(farm_size_ha)
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timeline_chart = generate_timeline_projection(farm_size_ha, years=5)
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roi_data = calculate_roi(total_hectares)
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summary = f"""
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+
ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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β NETWORK-LEVEL PAK SYSTEM IMPACT ANALYSIS
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ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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NETWORK SCALE
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ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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Total Farmers: {total_farmers:,}
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Average Farm Size: {avg_farm_size_ha} hectares
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Total Network Area: {total_hectares:,} hectares
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AGGREGATE ANNUAL IMPACT
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ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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Total Cost Savings: S${roi_data['cost_savings']:,.0f}
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Total Profit Improvement: S${roi_data['profit_improvement']:,.0f}
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Total Additional Yield: {(roi_data['pak_yield'] - roi_data['current_yield']) * total_hectares:,.0f} kg
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PER-FARMER ANNUAL IMPACT
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ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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Cost Savings per Farmer: S${roi_data['cost_savings']/total_farmers:,.0f}
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Profit Improvement per Farmer: S${roi_data['profit_improvement']/total_farmers:,.0f}
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Additional Income per Farmer: S${(roi_data['profit_improvement']/total_farmers):,.0f}
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SUSTAINABILITY METRICS
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ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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Synthetic Pesticide Elimination: 100%
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Labor Reduction: 50%+
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Organic Certification Compliance: 100%
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Biodiversity Impact: Positive (no harm to beneficial insects)
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5-YEAR NETWORK PROJECTION
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ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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Total Additional Income (5 years): S${(roi_data['profit_improvement'] - roi_data['cost_savings'])*5:,.0f}
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Cumulative Farmers Benefited: {total_farmers:,}
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Estimated Yield Increase (5 years): {(roi_data['pak_yield'] - roi_data['current_yield']) * total_hectares * 5:,.0f} kg
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"""
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# Create network visualization
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fig, axes = plt.subplots(1, 2, figsize=(14, 6))
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roi_data = calculate_roi(farm_size_ha)
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report = f"""
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ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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PRECISION ATTRACT-AND-KILL (PAK) SYSTEM
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DETAILED FEASIBILITY REPORT
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ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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EXECUTIVE SUMMARY
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ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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The Precision Attract-and-Kill System represents a transformative approach to
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Coffee Berry Borer management. This report analyzes the technical, financial,
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and operational feasibility of implementing the PAK System on a {farm_size_ha}-hectare
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farm or network.
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KEY FINDINGS:
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β’ Infestation Reduction: {roi_data['current_infestation']*100:.1f}% β {roi_data['pak_infestation']*100:.1f}% ({(roi_data['current_infestation'] - roi_data['pak_infestation'])*100:.1f}% improvement)
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β’ Annual Cost Savings: S${roi_data['cost_savings']:,.0f}
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β’ Annual Profit Improvement: S${roi_data['profit_improvement']:,.0f}
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β’ ROI: {roi_data['roi_percentage']:.1f}%
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β’ Payback Period: {roi_data['payback_period_months']:.1f} months
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| 368 |
+
ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 369 |
+
|
| 370 |
+
TECHNICAL SPECIFICATIONS
|
| 371 |
+
ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 372 |
+
|
| 373 |
+
Active Ingredients:
|
| 374 |
+
β’ Semiochemical Lure: Optimized blend of CBB aggregation pheromone and host volatiles
|
| 375 |
+
β’ Biological Agent: Beauveria bassiana (entomopathogenic fungus)
|
| 376 |
+
β’ Formulation: Micro-encapsulated paste/gel for weather resistance
|
| 377 |
+
|
| 378 |
+
Application Methods:
|
| 379 |
+
β’ Drone/UAV: Automated spot-spraying for estates and farmer clusters
|
| 380 |
+
β’ Backpack Sprayer: Semi-automated application for individual smallholders
|
| 381 |
+
β’ Application Frequency: 2-3 times per season during peak CBB activity
|
| 382 |
+
|
| 383 |
+
Safety & Compliance:
|
| 384 |
+
β’ Organic Certification: Fully compliant (Rainforest Alliance, 4C, etc.)
|
| 385 |
+
β’ Environmental Impact: No harm to pollinators or beneficial insects
|
| 386 |
+
β’ Biodiversity: Supports regenerative agriculture practices
|
| 387 |
+
|
| 388 |
+
ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 389 |
+
|
| 390 |
+
FINANCIAL ANALYSIS
|
| 391 |
+
ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 392 |
+
|
| 393 |
+
YEAR 1 ANALYSIS ({farm_size_ha} hectares):
|
| 394 |
+
|
| 395 |
+
Current IPM Approach:
|
| 396 |
+
Material Costs: S${farm_size_ha * CURRENT_IPM_COST_PER_HA:,.0f}
|
| 397 |
+
Labor Costs: S${farm_size_ha * CURRENT_IPM_LABOR_HOURS_PER_HA * LABOR_COST_PER_HOUR:,.0f}
|
| 398 |
+
Total Costs: S${roi_data['current_costs']:,.0f}
|
| 399 |
+
Gross Revenue: S${roi_data['current_revenue']:,.0f}
|
| 400 |
+
Net Profit: S${roi_data['current_profit']:,.0f}
|
| 401 |
+
|
| 402 |
+
PAK System Approach:
|
| 403 |
+
Material Costs: S${farm_size_ha * PAK_COST_PER_HA:,.0f}
|
| 404 |
+
Labor Costs: S${farm_size_ha * PAK_LABOR_HOURS_PER_HA * LABOR_COST_PER_HOUR:,.0f}
|
| 405 |
+
Total Costs: S${roi_data['pak_costs']:,.0f}
|
| 406 |
+
Gross Revenue: S${roi_data['pak_revenue']:,.0f}
|
| 407 |
+
Net Profit: S${roi_data['pak_profit']:,.0f}
|
| 408 |
+
|
| 409 |
+
COMPARATIVE ADVANTAGE:
|
| 410 |
+
Cost Savings: S${roi_data['cost_savings']:,.0f} ({(roi_data['cost_savings']/roi_data['current_costs'])*100:.1f}%)
|
| 411 |
+
Revenue Increase: S${roi_data['pak_revenue'] - roi_data['current_revenue']:,.0f} ({((roi_data['pak_revenue'] - roi_data['current_revenue'])/roi_data['current_revenue'])*100:.1f}%)
|
| 412 |
+
Profit Improvement: S${roi_data['profit_improvement']:,.0f} ({(roi_data['profit_improvement']/roi_data['current_profit'])*100:.1f}%)
|
| 413 |
+
|
| 414 |
+
{years}-YEAR PROJECTION:
|
| 415 |
+
Current IPM Total Profit: S${roi_data['current_profit']*years:,.0f}
|
| 416 |
+
PAK System Total Profit: S${roi_data['pak_profit']*years:,.0f}
|
| 417 |
+
Additional Profit ({years} years): S${(roi_data['pak_profit'] - roi_data['current_profit'])*years:,.0f}
|
| 418 |
+
|
| 419 |
+
ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 420 |
+
|
| 421 |
+
IMPLEMENTATION ROADMAP
|
| 422 |
+
βββββββββββββββββββββββββββββββββββββοΏ½οΏ½ββββββββββββββββββββββββββββββββββββββββββ
|
| 423 |
+
|
| 424 |
+
PHASE 1: PROOF OF CONCEPT (2026)
|
| 425 |
+
Timeline: 12 months
|
| 426 |
+
Investment: S$6,500 (for 5-10 hectares)
|
| 427 |
+
Deliverables:
|
| 428 |
+
β’ Field trial validation in Vietnam
|
| 429 |
+
β’ Efficacy data (target: 90%+ infestation reduction)
|
| 430 |
+
β’ Cost-benefit analysis
|
| 431 |
+
β’ Farmer feedback and adoption metrics
|
| 432 |
+
|
| 433 |
+
PHASE 2: EXPANSION & STANDARDIZATION (2027)
|
| 434 |
+
Timeline: 12 months
|
| 435 |
+
Investment: S$12,500-15,000 (for Indonesia & PNG)
|
| 436 |
+
Deliverables:
|
| 437 |
+
β’ Formulation adaptation for regional conditions
|
| 438 |
+
β’ Expanded field trials (50+ farmers)
|
| 439 |
+
β’ Standardized protocols and training materials
|
| 440 |
+
β’ Regional scale-up plan
|
| 441 |
+
|
| 442 |
+
PHASE 3: COMMERCIALIZATION (2028+)
|
| 443 |
+
Timeline: Ongoing
|
| 444 |
+
Model: IPM-as-a-Service
|
| 445 |
+
β’ ECOM or partner provides formulation and application
|
| 446 |
+
β’ Fixed post-harvest fee (S$5-10/bag)
|
| 447 |
+
β’ Rapid adoption across farmer network
|
| 448 |
+
|
| 449 |
+
ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 450 |
+
|
| 451 |
+
RISK ASSESSMENT & MITIGATION
|
| 452 |
+
ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 453 |
+
|
| 454 |
+
Risk: Formulation efficacy below target
|
| 455 |
+
Probability: Medium | Impact: High
|
| 456 |
+
Mitigation: Preliminary lab testing; contingency budget for adjustments
|
| 457 |
+
|
| 458 |
+
Risk: Weather impact on field trials
|
| 459 |
+
Probability: Medium | Impact: Medium
|
| 460 |
+
Mitigation: Multiple demo plot locations; extended trial period if needed
|
| 461 |
+
|
| 462 |
+
Risk: Farmer adoption challenges
|
| 463 |
+
Probability: Medium | Impact: Medium
|
| 464 |
+
Mitigation: Early engagement; clear training; peer learning networks
|
| 465 |
+
|
| 466 |
+
Risk: Regulatory or certification issues
|
| 467 |
+
Probability: Low | Impact: High
|
| 468 |
+
Mitigation: Early engagement with certification bodies; full documentation
|
| 469 |
+
|
| 470 |
+
ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 471 |
+
|
| 472 |
+
SUSTAINABILITY & LIVELIHOOD IMPACT
|
| 473 |
+
ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 474 |
+
|
| 475 |
+
Environmental Benefits:
|
| 476 |
+
β’ Elimination of synthetic pesticides
|
| 477 |
+
β’ Support for soil health and biodiversity
|
| 478 |
+
β’ Reduced carbon intensity of coffee production
|
| 479 |
+
β’ Climate-smart agriculture alignment
|
| 480 |
+
|
| 481 |
+
Livelihood Benefits:
|
| 482 |
+
β’ Reduced labor burden (50% reduction)
|
| 483 |
+
β’ Improved income stability
|
| 484 |
+
β’ Enhanced quality of life for farming communities
|
| 485 |
+
β’ Scalable across ECOM's global network
|
| 486 |
+
|
| 487 |
+
ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 488 |
+
|
| 489 |
+
CONCLUSION
|
| 490 |
+
ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 491 |
+
|
| 492 |
+
The Precision Attract-and-Kill System represents a transformative opportunity
|
| 493 |
+
for ECOM to address the Coffee Berry Borer challenge with a single, nature-based,
|
| 494 |
+
and highly scalable solution. The financial analysis demonstrates clear ROI,
|
| 495 |
+
with payback periods under 12 months and substantial long-term profit improvements.
|
| 496 |
+
|
| 497 |
+
The modest Phase 1 investment of S$6,500 is justified by the potential impact
|
| 498 |
+
across ECOM's network of 6,000+ smallholder farmers, with estimated total
|
| 499 |
+
additional income exceeding S$300,000 annually once fully scaled.
|
| 500 |
+
|
| 501 |
+
We recommend proceeding with Phase 1 validation in Vietnam in 2026, with clear
|
| 502 |
+
success metrics and a defined pathway to Phase 2 expansion and commercialization.
|
| 503 |
+
|
| 504 |
+
ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 505 |
+
Report Generated: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}
|
| 506 |
+
ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 507 |
+
"""
|
| 508 |
|
| 509 |
return report
|
| 510 |
|