Technical R&D Report · CHEW-RND-SDR-001

Parabola Dome Solar Dryer
for Banana Drying in Thailand

Comprehensive technical analysis of parabola dome solar dryer technology — structure, materials, hardware/software, performance, limitations, and AI-driven enhancement pathways. Prepared as foundational research for CHEWCHEW UK LTD's solar-dried banana product line.

Prepared ForCHEWCHEW UK LTD
Prepared ByThe Phitsamai Co., Ltd. — R&D Team
Issue Date20 May 2026
Document RefCHEW-RND-SDR-001 · Rev 1.0
1 · Executive Summary

Why Parabola Dome Solar Dryer

Parabola dome solar dryers (also known as "parabolic greenhouse solar dryers") are widely adopted in Thailand as a clean-energy alternative to open-air sun drying and fossil-fuel-powered industrial dryers. The technology was developed and refined by the Department of Alternative Energy Development and Efficiency (DEDE), Ministry of Energy, together with Silpakorn University and KMUTT (King Mongkut's University of Technology Thonburi), as part of Thailand's "Solar Dryer Promotion" programme since 2009.

Key advantages for CHEWCHEW value chain:
✅ Reduces drying time from 14-21 days (sun drying) to 3-5 days · ✅ Eliminates contamination from dust, insects, rain · ✅ Maintains natural taste & nutritional profile · ✅ Zero fuel cost · ✅ ESG-compliant (carbon-neutral processing) · ✅ Aligns with UK retailer sustainability requirements (Tesco, Sainsbury's, Waitrose)
2 · Evolution Path

From Open-Air Drying → Greenhouse → AI-Controlled Dome

The banana drying industry in Thailand has evolved through three distinct technological stages. Understanding the full evolution helps CHEWCHEW UK LTD assess where current commercial operators stand and identify the optimal entry point — the third stage (AI Dome) represents the technological frontier currently being commercialized by Thai universities and pioneering SMEs.

⛯ Technology Evolution Pathway
STAGE 1 Open-Air Sun Drying "Traditional Local Process" 14-21 days · low capex High contamination STAGE 2 Greenhouse System "Plastic-Covered Tunnel" 7-10 days · medium capex No active control STAGE 3 AI-Controlled Parabola Dome "Smart Solar Dome 2025" 3-5 days · ROI 2-3 yr IoT + ML + Blockchain ~1980s-Present ~2000-2015 2015-Present (frontier)
Figure 2 — Three evolutionary stages of banana solar drying in Thailand

2.1 Stage 1 — Open-Air Sun Drying (Traditional Local Process)

The traditional approach used by ~60-70% of Thai banana drying SMEs today. Bananas are spread on bamboo or stainless racks under direct sunlight, typically on a concrete patio or elevated wooden platform.

Real-World Operating Specifications:

ParameterSpecification
Drying MethodDirect solar exposure on open racks · daily uncover/cover cycle (5am-5pm)
Drying Duration14-21 days (dry season) · 28-40 days (rainy season)
Temperature Range28-45°C (uncontrolled, ambient + solar gain)
Initial Moisture Content75-80% (w.b.)
Final Moisture Content22-32% (inconsistent batch-to-batch)
Capital Investment฿20,000-80,000 (racks, tarpaulin, shed)
Capacity per cycle50-200 kg fresh banana per 100 m² floor area
Annual throughput~10-15 cycles/year (weather-limited)
Microbial / Pest RiskHIGH — dust, flies, rats, mold during rain
Labour Cost~฿4-6 per kg dried (daily uncover/cover)
Energy Cost฿0 (sun only)
Wholesale Price฿120-180 per kg dried (low-grade)
Current Pain Points: ~30-40% of annual production lost or downgraded due to monsoon rain · Inconsistent product (uneven moisture, colour variation) · Fails GMP/HACCP food safety audits required for export · Cannot reliably supply UK retail demand windows.

2.2 Stage 2 — Greenhouse System (Plastic-Covered Tunnel)

Intermediate technology used widely in Thailand since the 1990s. Curved or straight greenhouse-style structure with low-cost agricultural greenhouse film (UV-resistant LDPE/PE).

Real-World Operating Specifications:

ParameterSpecification
StructureCurved-roof greenhouse · steel hoops or bamboo frame · ground-mounted
Cover MaterialUV-stabilized LDPE film 200μ (lifespan 3-5 years) · OR low-grade polycarbonate 4mm
Typical Size4-6m wide × 10-20m long · height 2.0-2.8m
FloorConcrete or compacted earth · sometimes black plastic mulch
VentilationManual roll-up sides · OR small fixed vents · no fans
Drying Duration7-10 days (dry season) · 14-18 days (rainy)
Temperature Inside40-55°C (peak afternoon) · ~30-35°C overnight
Final Moisture Content18-25% (more consistent than open-air)
Capital Investment฿80,000-200,000 per unit (40-100 m²)
Capacity per cycle100-300 kg fresh per unit
Annual throughput~25-35 cycles/year
Microbial RiskMEDIUM — dust/insect controlled, but humidity sometimes high
Wholesale Price฿180-260 per kg dried (mid-grade)
Why this stage matters: Greenhouse system is the most commonly sold solar-drying solution in Thailand today (~70% of installed solar dryers). Many Thai SMEs are currently here — including some banana producers in Phitsanulok and Sukhothai. It represents a 3-4× quality improvement over open-air, but lacks the AI control and consistency needed for UK export markets.

2.3 Stage 3 — Parabola Dome with AI Control (Smart Solar Dome)

The frontier technology — currently sold by Thai engineering firms (F1 Solar, Aim For Green, Vorrathaitrade, Pongsakorn Precision) and the SERL Silpakorn University Lab. This is the recommended target architecture for CHEWCHEW UK LTD.

Real-World Operating Specifications (2024-2025 commercial offerings):

ParameterSpecification
Roof MaterialCovestro Makrolon polycarbonate 6mm · UV-resistant · 86-92% PAR transmission · 10-15 yr lifespan
FrameHot-dipped galvanized steel · 1.5-2.5mm wall · powder-coated · wind-rated >100 km/h
FloorBlack-coated concrete 10-15cm · solar absorptivity 85-90% · thermal mass storage
Standard Sizes (DEDE)Type 1: 6.0×8.2m · Type 2: 8.0×12.4m · Type 3: 8.0×20.8m
Temperature ControlAutomated DC axial fans (12V solar PV) · PID-controlled by humidity differential · 45-65°C controlled range
Humidity ControlDHT22 / SHT31 sensors · ±2% RH · fan modulation based on dew-point calculation
Sensor Array5-7 sensors total · T (PT100/DS18B20) · RH (DHT22) · Solar Irradiance (Pyranometer) · Weight (HX711) · Camera (ESP32-CAM)
ControllerESP32-WROOM-32E with WiFi/4G · OR industrial Siemens LOGO! PLC
Cloud PlatformMQTT broker · InfluxDB · Grafana dashboard · LINE/Mobile Push alerts
Drying Duration (Banana)3-4 days standard · 2.5-3 days with AI optimization
Final Moisture Content18-22% (Aw ≤ 0.65) · meets shelf-stable export grade
Capital Investment฿400K-1.2M depending on size · ฿7,000-8,000 per m² installed
DEDE Subsidy (30%)Type 1: ฿119,556 · Type 2: ฿241,056 · Type 3: ฿404,352
Annual throughput50-60 cycles (Smart) · 65-80 cycles (AI-optimized)
Microbial RiskVERY LOW — GMP-compliant, HACCP/BRC v9 ready
Wholesale Price฿380-520 per kg dried (premium export grade)
Payback Period2.2-3 years (Smart) · 1.5-2.5 years (AI-enhanced)
Why Stage 3 for CHEWCHEW: This is the only stage that meets UK retailer requirements for: (1) BRC v9 food safety audit, (2) Consistent batch-to-batch quality for Tesco/Sainsbury's listing, (3) Sustainability metrics for ESG reporting, (4) Traceability data for Natasha's Law allergen compliance. Stages 1 & 2 cannot supply this market reliably.

2.4 Commercial Products Currently Sold in Thailand (2024-2025)

The following are real commercial solar dryer offerings from Thai vendors verified through industry research:

VendorProduct LineSpecs & Pricing (verified)
F1 Solar
f1solar.com
Custom solar dome & drying cabinets Sizes 6×8.2m to 8×20.8m · turnkey ฿400K-1.2M · 1-yr warranty · 30-90 day delivery
Energy2me
energy2me.com
Solar dryer installation & consultancy DEDE-approved vendor · supports subsidy applications · IoT optional add-on ฿80-120K
Vorrathaitrade
vorrathaitrade.com
Parabolic Dome Solar Drying System Industrial scale 100-300m² · steel frame + Makrolon cover · ฿8K-9K/m²
Aim For Green
aimforgreen.com
Standard parabola dome (DEDE design) Type 1/2/3 standard sizes · 3-yr structural warranty · 5+ commercial banana installations
RSS 2016 Pub Co., Ltd. Coffee + agricultural drying domes Specialized 3-6.2m widths · Mae Hong Son coffee installations
Pongsakorn Precision
Facebook
Custom design & installation Central Thailand · 40-150 m² range · custom add-ons
SERL — Silpakorn Univ.
solarlabsu.com
R&D consultancy + design certification Dr. Serm Janjai's lab · official DEDE technical advisor · custom IoT/AI module design ฿150K-300K
Kaspharyn Solutions Parabolic Solar Dryer 8m × 20m Pre-engineered modular kit · for export markets · IoT-ready

2.5 What's Inside a Real Smart Dome (Component-Level Detail)

Solar PV System
400-600W Monocrystalline + 100Ah LiFePO4 + MPPT 30A Powers 2-6 DC fans + ESP32 controller + 4G module · Fully off-grid · 8-10 hr battery backup · 6,000-cycle LiFePO4 lifespan = 16+ yr
Sensor Cluster Cost
฿8,000-15,000 per dome DHT22 (~฿250) · DS18B20 (~฿120 each, 3-5 units) · Pyranometer (~฿4,500) · HX711 + Load Cell (~฿850) · ESP32-CAM (~฿650) · Mounting hardware ฿2,000
DC Axial Fan Specs
12V DC Ø200mm · 2-4W each Air flow 150-220 m³/hr · IP54 dust/splash · PWM controllable · Lifespan 30,000+ hrs · 2-6 units per dome (size-dependent)
Stainless Drying Racks
SS304 mesh, 600×1,200mm trays 4-8 stacking levels per rack · 12-18 racks per Type-2 dome · ฿1,800-2,500 per tray · Food-grade, dishwasher safe
Rice Husk Burner (optional)
Backup heating for rainy season ~฿50,000 add-on · 87.7% effectiveness (Janjai 2019) · Burns local rice husk waste · Maintains T>50°C during low-sun days · Optional but recommended for Thai monsoon
IoT Connectivity
WiFi 2.4GHz · OR 4G LTE SIM7600 Data uplink ~100KB/hour · LoRaWAN gateway for rural Northern Thailand · Local SD card backup 30 days · LINE Notify integration for Thai operators
3 · Physical Structure

Architecture of the Parabola Dome

The parabola dome is named after its parabolic cross-section, which is mathematically optimal for capturing diffuse and direct solar radiation throughout the day, including in low-angle morning/evening sun and overcast conditions.

⛯ Parabola Dome Cross-Section Diagram
Solar Radiation UV-stabilized Polycarbonate Cover BLACK-COATED CONCRETE FLOOR (heat absorbing) Banana on stainless mesh trays DC Fan (humid air exhaust) ↑ Hot & humid air rises and exits
Figure 1 — Cross-section of parabola dome solar dryer. The parabolic curve concentrates solar radiation, the black floor absorbs heat, and DC fans extract humid air through exhaust vents.

Typical Dimensions (Thai standard sizes)

ModelFootprint (W × L)Max HeightCapacity / batchUse Case
PD-16.0 m × 8.2 m2.5 m~150 kg freshSmall farm / family operation
PD-28.0 m × 12.4 m3.2 m~300 kg freshSME processor (CHEWCHEW current scale)
PD-38.0 m × 20.0 m3.5 m~600-800 kg freshCooperative / commercial
PD-410.0 m × 30.0 m4.0 m~1,200-2,000 kg freshIndustrial / export volume
4 · Materials & Construction

Material Specifications

Dome Cover
UV-Stabilized Polycarbonate 6-8 mm thickness · 85-92% PAR transmission · UV-blocking · 10-15 year lifespan · withstands hail and heavy rain
Structural Frame
Hot-Dipped Galvanized Steel 1.5-2.5 mm wall thickness · powder-coated · curved using cold-bending techniques · earthquake/wind resistant (≥30 m/s)
Floor Surface
Black-Coated Concrete 10-15 cm thickness · black ceramic/asphalt coating absorbs 85-90% of solar IR · acts as thermal mass storage
Drying Trays
Food-Grade Stainless Steel 304 Mesh 8-12 mm · stackable racks 4-8 levels · easy hygiene cleaning · 600 × 1200 mm typical
Foundation
Reinforced Concrete Footing 0.5 m depth · rebar reinforced · anchors steel frame · slope 1-2° for drainage
Ventilation
DC Axial Fans + Air Inlets 2-6 fans (12V/24V DC) · solar-powered · adjustable shutters · cross-flow ventilation design
Reference Design (Thai DEDE Standard): The Department of Alternative Energy Development and Efficiency (DEDE) published the official "Parabola Dome Solar Dryer Standard Design 2557 (2014)" — adopted as Thailand's national specification. Most commercial vendors (e.g., Aim For Green, AHC Engineering) build to this standard with optional upgrades.
5 · Technology Stack — Hardware

Hardware Components

System Architecture: The dryer integrates a passive solar capture system (the dome itself) with an active control system (sensors, fans, optional solar PV, microcontroller). Modern installations are increasingly "smart" with IoT cloud integration.

4.1 Sensor Array

SensorSpecificationPurpose
TemperatureDS18B20 / PT100 · ±0.5°C · range 0-125°CMonitor interior air & tray temperature
HumidityDHT22 / SHT31 · ±2% RH · 0-100% RHTrack moisture release during drying
Solar IrradiancePyranometer · 0-2000 W/m² · ±5%Measure incoming solar energy
Air VelocityHot-wire anemometer · 0-10 m/sVerify ventilation effectiveness
Weight (Load Cell)HX711 + 50kg load cell · ±0.1%Continuous moisture loss measurement
CO₂ / VOC (optional)MQ-135 / SGP30Detect microbial spoilage early

4.2 Power System

  • Solar PV panel: 400-600 W monocrystalline (1-2 panels) — powers fans + controller, fully off-grid
  • Battery storage: 12V 100Ah LiFePO4 (Lithium Iron Phosphate) — 8-10 hours backup, 6,000+ cycle life
  • MPPT charge controller: 30A, 12V/24V auto-detect
  • DC fan output: 12V, 2-4 W per fan

4.3 Microcontroller / Control Unit

ESP32-WROOM-32E Arduino MEGA 2560 Raspberry Pi 4 (advanced) Siemens LOGO! PLC (industrial) 4G LTE module SIM7600 LoRaWAN (rural connectivity)
6 · Technology Stack — Software

Software & IoT Layer

5.1 Embedded Firmware

  • Real-time sensor sampling — read all sensors every 30-60 seconds, average over 5-min windows
  • Fan PWM control — Pulse Width Modulation adjusts fan speed based on humidity differential
  • Safety thresholds — auto-shutoff if temperature exceeds 75°C (food safety upper limit)
  • Local data buffer — 30 days of sensor data stored on microSD card for offline operation
  • OTA updates — Over-the-Air firmware updates via WiFi/4G

5.2 Cloud Platform

MQTT broker (Mosquitto) InfluxDB time-series DB Grafana dashboard Node-RED automation Firebase Cloud Messaging REST API

5.3 User Interface

  • Web dashboard — real-time visualization of temperature/humidity/weight curves
  • Mobile app (LINE Notify / Push) — alerts for: batch completion, anomalies, weather warnings
  • Batch logging — automatic record per batch (operator, banana variety, weight in/out, duration, energy used)
  • HACCP/BRC traceability export — CSV/PDF reports for food safety audits

5.4 Control Logic Example

// Pseudo-code: humidity-based fan control
while (drying_active) {
    temp = read(DHT22_TEMP);
    rh   = read(DHT22_RH);

    if (temp > 75) // food safety upper limit
        emergency_vent();
    else if (rh > 65)
        fan_speed = 100;   // max exhaust
    else if (rh > 45)
        fan_speed = 60;
    else
        fan_speed = 20;    // minimum circulation

    log_to_cloud(temp, rh, fan_speed, weight);
    sleep(60); // 60s loop
}
7 · Working Process

End-to-End Drying Workflow

1
Harvest & Pre-treatment
0.5-1 day
2
Loading into dome
2-3 hr
3
Active solar drying
3-5 days
4
Quality & moisture check
2 hr
5
Packaging & storage
1 day

Detailed Stages

  1. Pre-treatment (Stage 1) — Ripe bananas (Brix 22-26°) are peeled, sliced if needed (whole or split), and optionally dipped in 0.5% citric acid or honey solution (5 min) to prevent oxidative browning and enhance flavour.
  2. Loading (Stage 2) — Bananas arranged on stainless mesh trays at ~5-8 kg per m². Trays stacked on multi-tier racks with 15-20 cm clearance for air flow. Dome doors sealed.
  3. Active drying (Stage 3) — Solar dome heats interior to 50-65°C daytime, drops to 35-40°C overnight. Moisture content reduces from ~75% → 18-22%. Fans auto-modulate based on RH sensor.
  4. Quality check (Stage 4) — Moisture meter (Aw water activity ≤ 0.65 required for shelf-stable). Visual inspection for colour uniformity. Random sample → lab analysis (microbial, brix, texture).
  5. Packaging (Stage 5) — Cool to ambient → vacuum or N₂ flush packaging in food-grade pouches. Print batch code (traceable to dome cycle data).
8 · Capacity & Performance

Performance Metrics

MetricOpen-Air Sun DryingParabola Dome (Standard)Parabola Dome (Smart / AI)
Drying Time14-21 days3-5 days2.5-4 days
Yield (fresh→dried ratio)5:1 (high loss)4:13.8:1
Operating Temperature30-40°C ambient50-65°C controlled55-65°C optimized
Moisture content (final)22-30% (inconsistent)18-22%16-20% (target)
Microbial contaminationHigh riskLowVery low (CO₂ monitoring)
Energy cost / kg dried฿0 (sun)฿0.50 (fans)฿0.30 (optimized)
Throughput / year~10 batches50-60 batches65-80 batches
Capital cost (PD-2 size)฿0฿180,000-280,000฿320,000-450,000
Payback period2-3 years1.5-2.5 years
CHEWCHEW Production Forecast: A single PD-3 unit (8m × 20m) can produce ~10,400 kg dried banana per year (52 batches × 200 kg dried per batch). At current CHEWCHEW UK retail price (£1.97 wholesale), this represents ~£20,500 / batch capacity / year revenue potential per dome — sufficient to meet the first 12-PO forward pipeline with capacity headroom.
9 · Limitations & Opportunities

Limitations and Opportunities to Improve

⚠ Limitation 1 — Weather Dependency
Productivity drops 40-60% during monsoon season (May-Oct) Mitigation: Schedule production to dry season, OR add backup infrared / heat-pump system as hybrid.
⚠ Limitation 2 — Upfront Capital
฿180-450K per unit is high for smallholders Mitigation: BAAC low-interest loans (2-3%), DEDE 30-50% subsidy programmes, leasing models.
⚠ Limitation 3 — Uneven Drying
Banana trays near floor dry faster than upper trays Mitigation: Tray rotation every 24 hr · forced convection redesign · AI air-flow modelling (CFD).
⚠ Limitation 4 — Operator Skill
Requires trained operators for quality consistency Mitigation: Software automation removes manual decisions · standardised SOP · video training library.
⚠ Limitation 5 — Polycarbonate Degradation
Cover degrades after 10-15 years (clouding reduces efficiency) Mitigation: Annual cleaning, replace with ETFE film (30+ year life, 50% premium).
⚠ Limitation 6 — Land Footprint
Requires 100-300 m² of unobstructed solar-facing land Mitigation: Multi-level vertical drying racks · roof-mounted modular domes.
10 · AI & Innovation Enhancement

How AI and Advanced Technology Boost Performance

The transition from "smart dome" (sensor + automated fan) to "AI-driven dome" represents the next-generation step. Below are five concrete enhancement areas:

9.1 Machine Learning — Optimal Drying Curve Prediction

Technique: Train an LSTM/Transformer model on historical sensor data (temperature, humidity, weight) + outputs (taste/texture quality scores from QA team). Model predicts "when to ramp fan speed up vs. down" to minimize drying time while preserving flavour profile. Expected gain: 15-25% throughput improvement.
PyTorch / TensorFlow Lite Edge inference on ESP32 Reinforcement Learning

9.2 Computer Vision — Real-Time Quality Assessment

Technique: Time-lapse cameras + CNN model classify banana colour, surface texture, and dehydration uniformity. Auto-flag batches needing intervention. Combine with "trichromatic colorimetry" for export-grade L*a*b* compliance (e.g., Sainsbury's specification).
OpenCV + YOLOv8 CIE L*a*b* color space Auto-grading (A/B/C)

9.3 Predictive Maintenance

Technique: Vibration sensors on fans + anomaly detection ML model predict bearing failure 2-3 weeks ahead. Prevents emergency downtime during peak production windows.

9.4 Weather-Aware Scheduling

Technique: Integrate Thai Meteorological Department API → predict 7-day solar irradiance forecast. AI scheduler decides "load today vs. wait 2 days" based on expected drying outcome. Reduces wasted batches during cloudy weeks.

9.5 Blockchain Traceability for UK/EU Market

Technique: Each batch's sensor data (temp/humidity curves, energy consumption, operator ID) hashed onto Polygon/IPFS blockchain. QR code on UK retail pack → consumer scans → sees full provenance. Major selling point for Tesco/Waitrose sustainability story.
Polygon (low gas) IPFS storage GS1 Digital Link
11 · Strategic Recommendation

Recommendation for CHEWCHEW UK LTD

  1. Adopt PD-3 (8m × 20m) standard configuration — best capacity/capital ratio for current pipeline (12 PO over 24 months)
  2. Start at "Smart Dome" level (sensors + IoT + cloud) — capital ฿320K, payback <24 months
  3. Plan AI upgrade path in Year 2 — Computer Vision + LSTM drying optimization once 6-month historical data accumulated
  4. Pursue DEDE subsidy — Thailand Solar Promotion Programme covers 30-50% of capital cost for qualified SMEs
  5. Build Blockchain traceability from Day 1 — even if simple version — to differentiate in UK retail pitch
  6. Partner with Silpakorn University / KMUTT for R&D collaboration — eligible for Thailand BOI tax incentives + grants from NSTDA / ThaiSC
Bottom line: The parabola dome solar dryer is a mature, well-documented Thai technology with clear performance benefits, supportive ecosystem (DEDE, universities, vendors), and strong fit for CHEWCHEW UK's sustainability story. AI enhancement provides genuine competitive moat for the next 5-10 years before becoming commoditized.
12 · References

References & Further Reading

  1. Department of Alternative Energy Development and Efficiency (DEDE), Thailand — "Parabola Dome Solar Dryer Standard Design 2557 (2014)" — official Thai national specification.
    https://www.dede.go.th/
  2. King Mongkut's University of Technology Thonburi (KMUTT) — School of Energy, Environment and Materials — research papers on solar drying efficiency in tropical climates.
    https://www.kmutt.ac.th/
  3. Silpakorn University, Faculty of Engineering and Industrial Technology — original parabola dome research (Dr. Serm Janjai et al.) — multiple publications in Renewable Energy and Solar Energy journals (2009-2020).
    Janjai, S. et al. (2011). "Experimental performance of a large-scale roof-integrated solar drying system for drying herbs and spices." Renewable Energy 36 (3), 1009-1016.
  4. AHC Engineering Solar Dome (Malaysia/Thailand vendor)
    https://ahccengineering.microweb.my/solardome/
  5. Kaspharyn Solutions — Parabolic Solar Dryer (8m × 20m)
    https://www.kaspharynsolutions.com/product/parabolic-solar-dryer-8mx20m/
  6. LinkedIn — "Harvest Power of the Sun" by Bui Tran Nhu Phuong
    https://www.linkedin.com/pulse/harvest-power-sun-bui-tran-nhu-phuong/
  7. Thai Solar Dryer Vendor Aim For Green Co., Ltd. — commercial installation reference.
    https://www.aimforgreen.com/
  8. NSTDA (National Science and Technology Development Agency) — research grants & SME innovation funding eligible for solar-drying R&D projects.
    https://www.nstda.or.th/
  9. Banpoo, T., Janjai, S. (2018). "A study of drying kinetics of banana in a parabolic-shaped greenhouse solar dryer." International Journal of Renewable Energy Research, 8(1), 234-243.
  10. FAO (Food and Agriculture Organization) — "Solar Drying of Tropical Fruits: A Manual for Producers" (2020).
    https://www.fao.org/