Benny-Tang commited on
Commit
43130d1
Β·
verified Β·
1 Parent(s): 71cb0c0

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +241 -239
app.py CHANGED
@@ -4,6 +4,8 @@ import pandas as pd
4
  import matplotlib.pyplot as plt
5
  from datetime import datetime, timedelta
6
  import json
 
 
7
 
8
  # ============================================================================
9
  # PAK System Configuration and Constants
@@ -75,8 +77,8 @@ def calculate_roi(farm_size_ha, years=1):
75
 
76
  # ROI Calculation
77
  profit_improvement = pak_profit - current_profit
78
- cost_savings = current_costs['total_cost'] - pak_costs['total_cost']
79
- roi_percentage = (profit_improvement / current_costs['total_cost']) * 100
80
 
81
  return {
82
  'current_infestation': current_infestation,
@@ -85,14 +87,14 @@ def calculate_roi(farm_size_ha, years=1):
85
  'pak_yield': pak_yield,
86
  'current_revenue': current_revenue,
87
  'pak_revenue': pak_revenue,
88
- 'current_costs': current_costs['total_cost'],
89
- 'pak_costs': pak_costs['total_cost'],
90
  'current_profit': current_profit,
91
  'pak_profit': pak_profit,
92
  'profit_improvement': profit_improvement,
93
  'cost_savings': cost_savings,
94
  'roi_percentage': roi_percentage,
95
- 'payback_period_months': (pak_costs['total_cost'] / (profit_improvement / 12)) if profit_improvement > 0 else float('inf')
96
  }
97
 
98
  def generate_comparison_chart(farm_size_ha):
@@ -198,47 +200,47 @@ def analyze_farm(farm_size_ha, baseline_infestation=41):
198
 
199
  # Generate summary report
200
  summary = f"""
201
- ╔════════════════════════════════════════════════════════════════╗
202
- β•‘ PAK SYSTEM ROI ANALYSIS - {farm_size_ha} HECTARES
203
- β•šβ•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•
204
-
205
- INFESTATION CONTROL
206
- ──────────────────────────────────────────────────────────────────
207
- Current IPM Infestation Rate: {roi_data['current_infestation']*100:.1f}%
208
- PAK System Infestation Rate: {roi_data['pak_infestation']*100:.1f}%
209
- Improvement: {(roi_data['current_infestation'] - roi_data['pak_infestation'])*100:.1f}%
210
-
211
- YIELD IMPACT
212
- ──────────────────────────────────────────────────────────────────
213
- Current IPM Yield: {roi_data['current_yield']:.0f} kg/ha
214
- PAK System Yield: {roi_data['pak_yield']:.0f} kg/ha
215
- Additional Yield: {roi_data['pak_yield'] - roi_data['current_yield']:.0f} kg/ha
216
-
217
- FINANCIAL ANALYSIS (Annual)
218
- ──────────────────────────────────────────────────────────────────
219
- Current IPM:
220
- β€’ Total Cost: S${roi_data['current_costs']:,.0f}
221
- β€’ Revenue: S${roi_data['current_revenue']:,.0f}
222
- β€’ Profit: S${roi_data['current_profit']:,.0f}
223
-
224
- PAK System:
225
- β€’ Total Cost: S${roi_data['pak_costs']:,.0f}
226
- β€’ Revenue: S${roi_data['pak_revenue']:,.0f}
227
- β€’ Profit: S${roi_data['pak_profit']:,.0f}
228
-
229
- RETURN ON INVESTMENT
230
- ──────────────────────────────────────────────────────────────────
231
- Annual Profit Improvement: S${roi_data['profit_improvement']:,.0f}
232
- Annual Cost Savings: S${roi_data['cost_savings']:,.0f}
233
- ROI Percentage: {roi_data['roi_percentage']:.1f}%
234
- Payback Period: {roi_data['payback_period_months']:.1f} months
235
-
236
- 5-YEAR PROJECTION
237
- ──────────────────────────────────────────────────────────────────
238
- Current IPM Total Profit (5 years): S${roi_data['current_profit']*5:,.0f}
239
- PAK System Total Profit (5 years): S${roi_data['pak_profit']*5:,.0f}
240
- Additional Profit (5 years): S${(roi_data['pak_profit'] - roi_data['current_profit'])*5:,.0f}
241
- """
242
 
243
  comparison_chart = generate_comparison_chart(farm_size_ha)
244
  timeline_chart = generate_timeline_projection(farm_size_ha, years=5)
@@ -255,41 +257,41 @@ def network_analysis(total_farmers, avg_farm_size_ha):
255
  roi_data = calculate_roi(total_hectares)
256
 
257
  summary = f"""
258
- ╔════════════════════════════════════════════════════════════════╗
259
- β•‘ NETWORK-LEVEL PAK SYSTEM IMPACT ANALYSIS
260
- β•šβ•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•
261
-
262
- NETWORK SCALE
263
- ──────────────────────────────────────────────────────────────────
264
- Total Farmers: {total_farmers:,}
265
- Average Farm Size: {avg_farm_size_ha} hectares
266
- Total Network Area: {total_hectares:,} hectares
267
-
268
- AGGREGATE ANNUAL IMPACT
269
- ──────────────────────────────────────────────────────────────────
270
- Total Cost Savings: S${roi_data['cost_savings']:,.0f}
271
- Total Profit Improvement: S${roi_data['profit_improvement']:,.0f}
272
- Total Additional Yield: {(roi_data['pak_yield'] - roi_data['current_yield']) * total_hectares:,.0f} kg
273
-
274
- PER-FARMER ANNUAL IMPACT
275
- ──────────────────────────────────────────────────────────────────
276
- Cost Savings per Farmer: S${roi_data['cost_savings']/total_farmers:,.0f}
277
- Profit Improvement per Farmer: S${roi_data['profit_improvement']/total_farmers:,.0f}
278
- Additional Income per Farmer: S${(roi_data['profit_improvement']/total_farmers):,.0f}
279
-
280
- SUSTAINABILITY METRICS
281
- ──────────────────────────────────────────────────────────────────
282
- Synthetic Pesticide Elimination: 100%
283
- Labor Reduction: 50%+
284
- Organic Certification Compliance: 100%
285
- Biodiversity Impact: Positive (no harm to beneficial insects)
286
-
287
- 5-YEAR NETWORK PROJECTION
288
- ──────────────────────────────────────────────────────────────────
289
- Total Additional Income (5 years): S${(roi_data['profit_improvement'] - roi_data['cost_savings'])*5:,.0f}
290
- Cumulative Farmers Benefited: {total_farmers:,}
291
- Estimated Yield Increase (5 years): {(roi_data['pak_yield'] - roi_data['current_yield']) * total_hectares * 5:,.0f} kg
292
- """
293
 
294
  # Create network visualization
295
  fig, axes = plt.subplots(1, 2, figsize=(14, 6))
@@ -343,166 +345,166 @@ def generate_detailed_report(farm_size_ha, years=5):
343
  roi_data = calculate_roi(farm_size_ha)
344
 
345
  report = f"""
346
- ════════════════════════════════════════════════════════════════════════════════
347
  PRECISION ATTRACT-AND-KILL (PAK) SYSTEM
348
  DETAILED FEASIBILITY REPORT
349
- ═══════════════════════════════════════════════════════════════════════════════��
350
-
351
- EXECUTIVE SUMMARY
352
- ────────────────────────────────────────────────────────────────────────────────
353
-
354
- The Precision Attract-and-Kill System represents a transformative approach to
355
- Coffee Berry Borer management. This report analyzes the technical, financial,
356
- and operational feasibility of implementing the PAK System on a {farm_size_ha}-hectare
357
- farm or network.
358
-
359
- KEY FINDINGS:
360
- 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)
361
- β€’ Annual Cost Savings: S${roi_data['cost_savings']:,.0f}
362
- β€’ Annual Profit Improvement: S${roi_data['profit_improvement']:,.0f}
363
- β€’ ROI: {roi_data['roi_percentage']:.1f}%
364
- β€’ Payback Period: {roi_data['payback_period_months']:.1f} months
365
-
366
- ════════════════════════════════════════════════════════════════════════════════
367
-
368
- TECHNICAL SPECIFICATIONS
369
- ────────────────────────────────────────────────────────────────────────────────
370
-
371
- Active Ingredients:
372
- β€’ Semiochemical Lure: Optimized blend of CBB aggregation pheromone and host volatiles
373
- β€’ Biological Agent: Beauveria bassiana (entomopathogenic fungus)
374
- β€’ Formulation: Micro-encapsulated paste/gel for weather resistance
375
-
376
- Application Methods:
377
- β€’ Drone/UAV: Automated spot-spraying for estates and farmer clusters
378
- β€’ Backpack Sprayer: Semi-automated application for individual smallholders
379
- β€’ Application Frequency: 2-3 times per season during peak CBB activity
380
-
381
- Safety & Compliance:
382
- β€’ Organic Certification: Fully compliant (Rainforest Alliance, 4C, etc.)
383
- β€’ Environmental Impact: No harm to pollinators or beneficial insects
384
- β€’ Biodiversity: Supports regenerative agriculture practices
385
-
386
- ════════════════════════════════════════════════════════════════════════════════
387
-
388
- FINANCIAL ANALYSIS
389
- ────────────────────────────────────────────────────────────────────────────────
390
-
391
- YEAR 1 ANALYSIS ({farm_size_ha} hectares):
392
-
393
- Current IPM Approach:
394
- Material Costs: S${farm_size_ha * CURRENT_IPM_COST_PER_HA:,.0f}
395
- Labor Costs: S${farm_size_ha * CURRENT_IPM_LABOR_HOURS_PER_HA * LABOR_COST_PER_HOUR:,.0f}
396
- Total Costs: S${roi_data['current_costs']:,.0f}
397
- Gross Revenue: S${roi_data['current_revenue']:,.0f}
398
- Net Profit: S${roi_data['current_profit']:,.0f}
399
-
400
- PAK System Approach:
401
- Material Costs: S${farm_size_ha * PAK_COST_PER_HA:,.0f}
402
- Labor Costs: S${farm_size_ha * PAK_LABOR_HOURS_PER_HA * LABOR_COST_PER_HOUR:,.0f}
403
- Total Costs: S${roi_data['pak_costs']:,.0f}
404
- Gross Revenue: S${roi_data['pak_revenue']:,.0f}
405
- Net Profit: S${roi_data['pak_profit']:,.0f}
406
-
407
- COMPARATIVE ADVANTAGE:
408
- Cost Savings: S${roi_data['cost_savings']:,.0f} ({(roi_data['cost_savings']/roi_data['current_costs'])*100:.1f}%)
409
- Revenue Increase: S${roi_data['pak_revenue'] - roi_data['current_revenue']:,.0f} ({((roi_data['pak_revenue'] - roi_data['current_revenue'])/roi_data['current_revenue'])*100:.1f}%)
410
- Profit Improvement: S${roi_data['profit_improvement']:,.0f} ({(roi_data['profit_improvement']/roi_data['current_profit'])*100:.1f}%)
411
-
412
- {years}-YEAR PROJECTION:
413
- Current IPM Total Profit: S${roi_data['current_profit']*years:,.0f}
414
- PAK System Total Profit: S${roi_data['pak_profit']*years:,.0f}
415
- Additional Profit (5 years): S${(roi_data['pak_profit'] - roi_data['current_profit'])*years:,.0f}
416
-
417
- ════════════════════════════════════════════════════════════════════════════════
418
-
419
- IMPLEMENTATION ROADMAP
420
- ────────────────────────────────────────────────────────────────────────────────
421
-
422
- PHASE 1: PROOF OF CONCEPT (2026)
423
- Timeline: 12 months
424
- Investment: S$6,500 (for 5-10 hectares)
425
- Deliverables:
426
- β€’ Field trial validation in Vietnam
427
- β€’ Efficacy data (target: 90%+ infestation reduction)
428
- β€’ Cost-benefit analysis
429
- β€’ Farmer feedback and adoption metrics
430
-
431
- PHASE 2: EXPANSION & STANDARDIZATION (2027)
432
- Timeline: 12 months
433
- Investment: S$12,500-15,000 (for Indonesia & PNG)
434
- Deliverables:
435
- β€’ Formulation adaptation for regional conditions
436
- β€’ Expanded field trials (50+ farmers)
437
- β€’ Standardized protocols and training materials
438
- β€’ Regional scale-up plan
439
-
440
- PHASE 3: COMMERCIALIZATION (2028+)
441
- Timeline: Ongoing
442
- Model: IPM-as-a-Service
443
- β€’ ECOM or partner provides formulation and application
444
- β€’ Fixed post-harvest fee (S$5-10/bag)
445
- β€’ Rapid adoption across farmer network
446
-
447
- ════════════════════════════════════════════════════════════════════════════════
448
-
449
- RISK ASSESSMENT & MITIGATION
450
- ────────────────────────────────────────────────────────────────────────────────
451
-
452
- Risk: Formulation efficacy below target
453
- Probability: Medium | Impact: High
454
- Mitigation: Preliminary lab testing; contingency budget for adjustments
455
-
456
- Risk: Weather impact on field trials
457
- Probability: Medium | Impact: Medium
458
- Mitigation: Multiple demo plot locations; extended trial period if needed
459
-
460
- Risk: Farmer adoption challenges
461
- Probability: Medium | Impact: Medium
462
- Mitigation: Early engagement; clear training; peer learning networks
463
-
464
- Risk: Regulatory or certification issues
465
- Probability: Low | Impact: High
466
- Mitigation: Early engagement with certification bodies; full documentation
467
-
468
- ════════════════════════════════════════════════════════════════════════════════
469
-
470
- SUSTAINABILITY & LIVELIHOOD IMPACT
471
- ────────────────────────────────────────────────────────────────────────────────
472
-
473
- Environmental Benefits:
474
- β€’ Elimination of synthetic pesticides
475
- β€’ Support for soil health and biodiversity
476
- β€’ Reduced carbon intensity of coffee production
477
- β€’ Climate-smart agriculture alignment
478
-
479
- Livelihood Benefits:
480
- β€’ Reduced labor burden (50% reduction)
481
- β€’ Improved income stability
482
- β€’ Enhanced quality of life for farming communities
483
- β€’ Scalable across ECOM's global network
484
-
485
- ════════════════════════════════════════════════════════════════════════════════
486
-
487
- CONCLUSION
488
- ────────────────────────────────────────────────────────────────────────────────
489
-
490
- The Precision Attract-and-Kill System represents a transformative opportunity
491
- for ECOM to address the Coffee Berry Borer challenge with a single, nature-based,
492
- and highly scalable solution. The financial analysis demonstrates clear ROI,
493
- with payback periods under 12 months and substantial long-term profit improvements.
494
-
495
- The modest Phase 1 investment of S$6,500 is justified by the potential impact
496
- across ECOM's network of 6,000+ smallholder farmers, with estimated total
497
- additional income exceeding S$300,000 annually once fully scaled.
498
-
499
- We recommend proceeding with Phase 1 validation in Vietnam in 2026, with clear
500
- success metrics and a defined pathway to Phase 2 expansion and commercialization.
501
-
502
- ════════════════════════════════════════════════════════════════════════════════
503
- Report Generated: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}
504
- ═════════════════════════════════════════════════════════════════════════════���══
505
- """
506
 
507
  return report
508
 
 
4
  import matplotlib.pyplot as plt
5
  from datetime import datetime, timedelta
6
  import json
7
+ import io
8
+ from PIL import Image
9
 
10
  # ============================================================================
11
  # PAK System Configuration and Constants
 
77
 
78
  # ROI Calculation
79
  profit_improvement = pak_profit - current_profit
80
+ cost_savings = current_costs - pak_costs
81
+ roi_percentage = (profit_improvement / current_costs) * 100 if current_costs > 0 else 0
82
 
83
  return {
84
  'current_infestation': current_infestation,
 
87
  'pak_yield': pak_yield,
88
  'current_revenue': current_revenue,
89
  'pak_revenue': pak_revenue,
90
+ 'current_costs': current_costs,
91
+ 'pak_costs': pak_costs,
92
  'current_profit': current_profit,
93
  'pak_profit': pak_profit,
94
  'profit_improvement': profit_improvement,
95
  'cost_savings': cost_savings,
96
  'roi_percentage': roi_percentage,
97
+ 'payback_period_months': (pak_costs / (profit_improvement / 12)) if profit_improvement > 0 else float('inf')
98
  }
99
 
100
  def generate_comparison_chart(farm_size_ha):
 
200
 
201
  # Generate summary report
202
  summary = f"""
203
+ ╔════════════════════════════════════════════════════════════════╗
204
+ β•‘ PAK SYSTEM ROI ANALYSIS - {farm_size_ha} HECTARES
205
+ β•šβ•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•
206
+
207
+ INFESTATION CONTROL
208
+ ──────────────────────────────────────────────────────────────────
209
+ Current IPM Infestation Rate: {roi_data['current_infestation']*100:.1f}%
210
+ PAK System Infestation Rate: {roi_data['pak_infestation']*100:.1f}%
211
+ Improvement: {(roi_data['current_infestation'] - roi_data['pak_infestation'])*100:.1f}%
212
+
213
+ YIELD IMPACT
214
+ ──────────────────────────────────────────────────────────────────
215
+ Current IPM Yield: {roi_data['current_yield']:.0f} kg/ha
216
+ PAK System Yield: {roi_data['pak_yield']:.0f} kg/ha
217
+ Additional Yield: {roi_data['pak_yield'] - roi_data['current_yield']:.0f} kg/ha
218
+
219
+ FINANCIAL ANALYSIS (Annual)
220
+ ──────────────────────────────────────────────────────────────────
221
+ Current IPM:
222
+ β€’ Total Cost: S${roi_data['current_costs']:,.0f}
223
+ β€’ Revenue: S${roi_data['current_revenue']:,.0f}
224
+ β€’ Profit: S${roi_data['current_profit']:,.0f}
225
+
226
+ PAK System:
227
+ β€’ Total Cost: S${roi_data['pak_costs']:,.0f}
228
+ β€’ Revenue: S${roi_data['pak_revenue']:,.0f}
229
+ β€’ Profit: S${roi_data['pak_profit']:,.0f}
230
+
231
+ RETURN ON INVESTMENT
232
+ ──────────────────────────────────────────────────────────────────
233
+ Annual Profit Improvement: S${roi_data['profit_improvement']:,.0f}
234
+ Annual Cost Savings: S${roi_data['cost_savings']:,.0f}
235
+ ROI Percentage: {roi_data['roi_percentage']:.1f}%
236
+ Payback Period: {roi_data['payback_period_months']:.1f} months
237
+
238
+ 5-YEAR PROJECTION
239
+ ──────────────────────────────────────────────────────────────────
240
+ Current IPM Total Profit (5 years): S${roi_data['current_profit']*5:,.0f}
241
+ PAK System Total Profit (5 years): S${roi_data['pak_profit']*5:,.0f}
242
+ Additional Profit (5 years): S${(roi_data['pak_profit'] - roi_data['current_profit'])*5:,.0f}
243
+ """
244
 
245
  comparison_chart = generate_comparison_chart(farm_size_ha)
246
  timeline_chart = generate_timeline_projection(farm_size_ha, years=5)
 
257
  roi_data = calculate_roi(total_hectares)
258
 
259
  summary = f"""
260
+ ╔════════════════════════════════════════════════════════════════╗
261
+ β•‘ NETWORK-LEVEL PAK SYSTEM IMPACT ANALYSIS
262
+ β•šβ•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•
263
+
264
+ NETWORK SCALE
265
+ ──────────────────────────────────────────────────────────────────
266
+ Total Farmers: {total_farmers:,}
267
+ Average Farm Size: {avg_farm_size_ha} hectares
268
+ Total Network Area: {total_hectares:,} hectares
269
+
270
+ AGGREGATE ANNUAL IMPACT
271
+ ──────────────────────────────────────────────────────────────────
272
+ Total Cost Savings: S${roi_data['cost_savings']:,.0f}
273
+ Total Profit Improvement: S${roi_data['profit_improvement']:,.0f}
274
+ Total Additional Yield: {(roi_data['pak_yield'] - roi_data['current_yield']) * total_hectares:,.0f} kg
275
+
276
+ PER-FARMER ANNUAL IMPACT
277
+ ──────────────────────────────────────────────────────────────────
278
+ Cost Savings per Farmer: S${roi_data['cost_savings']/total_farmers:,.0f}
279
+ Profit Improvement per Farmer: S${roi_data['profit_improvement']/total_farmers:,.0f}
280
+ Additional Income per Farmer: S${(roi_data['profit_improvement']/total_farmers):,.0f}
281
+
282
+ SUSTAINABILITY METRICS
283
+ ──────────────────────────────────────────────────────────────────
284
+ Synthetic Pesticide Elimination: 100%
285
+ Labor Reduction: 50%+
286
+ Organic Certification Compliance: 100%
287
+ Biodiversity Impact: Positive (no harm to beneficial insects)
288
+
289
+ 5-YEAR NETWORK PROJECTION
290
+ ──────────────────────────────────────────────────────────────────
291
+ Total Additional Income (5 years): S${(roi_data['profit_improvement'] - roi_data['cost_savings'])*5:,.0f}
292
+ Cumulative Farmers Benefited: {total_farmers:,}
293
+ Estimated Yield Increase (5 years): {(roi_data['pak_yield'] - roi_data['current_yield']) * total_hectares * 5:,.0f} kg
294
+ """
295
 
296
  # Create network visualization
297
  fig, axes = plt.subplots(1, 2, figsize=(14, 6))
 
345
  roi_data = calculate_roi(farm_size_ha)
346
 
347
  report = f"""
348
+ ════════════════════════════════════════════════════════════════════════════════
349
  PRECISION ATTRACT-AND-KILL (PAK) SYSTEM
350
  DETAILED FEASIBILITY REPORT
351
+ ════════════════════════════════════════════════════════════════════════════════
352
+
353
+ EXECUTIVE SUMMARY
354
+ ────────────────────────────────────────────────────────────────────────────────
355
+
356
+ The Precision Attract-and-Kill System represents a transformative approach to
357
+ Coffee Berry Borer management. This report analyzes the technical, financial,
358
+ and operational feasibility of implementing the PAK System on a {farm_size_ha}-hectare
359
+ farm or network.
360
+
361
+ KEY FINDINGS:
362
+ 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)
363
+ β€’ Annual Cost Savings: S${roi_data['cost_savings']:,.0f}
364
+ β€’ Annual Profit Improvement: S${roi_data['profit_improvement']:,.0f}
365
+ β€’ ROI: {roi_data['roi_percentage']:.1f}%
366
+ β€’ Payback Period: {roi_data['payback_period_months']:.1f} months
367
+
368
+ ════════════════════════════════════════════════════════════════════════════════
369
+
370
+ TECHNICAL SPECIFICATIONS
371
+ ────────────────────────────────────────────────────────────────────────────────
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
+ ════════════════════════════════════════════════════════════════════════════════
389
+
390
+ FINANCIAL ANALYSIS
391
+ ────────────────────────────────────────────────────────────────────────────────
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
+ ════════════════════════════════════════════════════════════════════════════════
420
+
421
+ IMPLEMENTATION ROADMAP
422
+ ─────────────────────────────────────��──────────────────────────────────────────
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
+ ════════════════════════════════════════════════════════════════════════════════
450
+
451
+ RISK ASSESSMENT & MITIGATION
452
+ ────────────────────────────────────────────────────────────────────────────────
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
+ ════════════════════════════════════════════════════════════════════════════════
471
+
472
+ SUSTAINABILITY & LIVELIHOOD IMPACT
473
+ ────────────────────────────────────────────────────────────────────────────────
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
+ ════════════════════════════════════════════════════════════════════════════════
488
+
489
+ CONCLUSION
490
+ ────────────────────────────────────────────────────────────────────────────────
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
+ ════════════════════════════════════════════════════════════════════════════════
505
+ Report Generated: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}
506
+ ════════════════════════════════════════════════════════════════════════════════
507
+ """
508
 
509
  return report
510