Eliminating Environmental Variance. Guaranteeing Year-Round Batch Consistency.
Inter Connect Point (ICP) provides enterprise agro-processors with full-stack Artificial Intelligence and Industrial Internet of Things (AIIoT) solutions. Combining electronic nose (eNose) sensor arrays, precision temperature and humidity probes, and predictive edge machine learning, ICP turns subjective sensory decisions into automated, closed-loop process controls—ensuring repeatable, premium product quality regardless of seasonal weather changes.
The Agro-Processing Challenge
In primary agricultural value chains—such as tea oxidation, coffee fermentation, cocoa curing, and tobacco processing—product quality depends on delicate chemical and physical transformations. Traditional operations face persistent operational risks:
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Extreme Weather & Climate Dependence: Seasonal ambient shifts in humidity and temperature alter fermentation and drying rates, creating inconsistent product grades.
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Subjective Manual Judgments: Relying on human sensory evaluation (smell, visual check, tactile inspection) leads to human error, batch variance, and yield losses.
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Lack of Real-Time Process Feedback: Offline laboratory testing takes hours, delaying critical process adjustments until after batch degradation has already occurred.
The ICP Agro-Automation Ecosystem
ICP replaces manual guesswork with continuous physical and chemical telemetry, reverse-engineering target quality benchmarks into automated, real-time control inputs.
Core Technical Features
1. Electronic Nose (eNose) & Chemical Gas Arrays
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Proprietary multi-channel gas and volatile organic compound (VOC) sensor arrays built via advanced electroforming and mold-etching.
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Detects minute aroma profiles and volatile chemical shifts during oxidation and fermentation to pinpoint exact peak quality thresholds.
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Housed in ruggedized, food-grade IP67 stainless steel enclosures designed for high-humidity factory environments.
2. Multi-Point Physical Sensor Instrumentation
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Penetration & Insertion Probes: High-accuracy thermal sensors for direct insertion into bulk leaf beds, fermentation trays, or drying silos.
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Duct & Flange Environmental Probes: Heavy-duty relative humidity and ambient temperature sensors ($0{-}10\text{ V}$ / $4{-}20\text{ mA}$) mounted directly inside drying ducts and HVAC air systems.
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Non-Invasive Surface Probes: Clamp-on thermal sensors for continuous monitoring of steam lines, fluid conduits, and processing jacket pipes without breaching containment.
3. Climate-Resilient Machine Learning & Closed-Loop Controls
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Edge AI algorithms analyze continuous sensor feeds against target chemical baselines, automatically adjusting air flow, heat inputs, and bed speeds.
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Eliminates weather-induced batch variance by dynamically counteracting ambient humidity and temperature fluctuations in real time.
Key Industry Applications
| Value Chain |
Sensing Hardware Deployed |
Primary Value Delivered |
| Black Tea Oxidation & Drying |
E-Nose arrays + Bed penetration probes + Air duct sensors |
Eliminates weather variance, automatically triggering bed discharge at peak aroma profile. |
| Coffee & Cocoa Fermentation |
Insertion temp probes + Chemical gas sensors + Ambient humidity |
Pinpoints optimal washing/drying windows, preventing over-fermentation and mold defects. |
| Grains, Seed & Tobacco Drying |
Surface pipe sensors + HVAC duct humidity-temperature probes |
Optimizes fuel and thermal consumption while maintaining strict target moisture standards. |
| Agro-Industrial Utilities |
Strap-on pipe probes + Gateway nodes |
Continuous thermal monitoring across steam, hot water, and cooling jacket infrastructure. |
Turnkey Deployment Workflow
1.Quality Baseline Mapping:Phase 1 • Profile & Reverse-Engineering.
ICP engineers analyze your top-grade production samples, reverse-engineering chemical, thermal, and humidity profiles into a digital quality benchmark.
2.Factory Instrumentation:Phase 2 • Hardware Installation.
We install pre-calibrated eNose arrays, penetration probes, duct sensors, and LoRa® gateway nodes across your processing line with minimal operational interruption.
3.Model Refinement:Phase 3 • AI Training & Calibration.
Edge machine learning models process live factory data alongside ambient environmental feeds, calibrating predictive triggers against real-time production runs.
4.Automated Process Control:Phase 4 • Closed-Loop Automation.
The system connects to your PLC/SCADA actuators or operational dashboards, driving real-time heat, airflow, and timing adjustments to guarantee peak batch consistency.
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ICP eNose Sensor Array Datasheet
Datasheet Summary
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Layout Structure: NA
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Technical Content: Includes complete technical specs, operating limits, target gas resolutions, electrical pinouts with an SVG connector diagram, mechanical housing specs, and ordering configuration codes.
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Compliance & Design Polish: NA
ICP-eNose-4000: Proprietary Chemical VOC Sensor Array
High-Precision Volatile Organic Compound (VOC) & Gas Telemetry Array for Agro-Industrial Process Automation
1. Product Overview & Key Features
The ICP-eNose-4000 is an enterprise-grade multi-channel gas sensing probe engineered specifically for harsh, high-humidity processing environments such as tea oxidation beds, coffee fermentation tanks, and cocoa drying rooms. Manufactured using proprietary electroformed micro-cavities and micro-etching techniques, the unit reverse-engineers target aroma profiles into actionable real-time digital telemetry.
Multi-Channel VOC Detection
Simultaneous tracking of ethanol, organic acids, aldehydes, and aromatic compounds during chemical fermentation.
Food-Grade IP67 Stainless Housing
Fully sealed electroformed 316L stainless steel enclosure with integrated micro-porous PTFE hydrophobic membrane.
Sub-Second Sampling Latency
Integrated micro-pump and thermal stabilization circuit ensure rapid response times (T90 < 2.5s).
Ultra-Low Power & WoR Ready
Optimized for battery and solar operations via integrated Wake-on-Radio (WoR) low-power sleep logic.
2. Operating Conditions & Limits
| Parameter |
Min |
Typical |
Max |
Unit |
| Operating Temperature |
-20 |
+25 |
+85 |
°C |
| Operating Relative Humidity (Non-Condensing) |
0 |
65 |
99 |
% RH |
| Supply Voltage (VCC) |
3.3 |
5.0 |
24.0 |
V DC |
| Peak Active Power Consumption |
— |
120 |
350 |
mW |
| Deep Sleep Current (WoR Mode) |
— |
4.2 |
10.0 |
µA |
3. Gas Sensing & Performance Specifications
| Target Compound Class |
Detection Range |
Resolution |
Repeatability |
| Total Volatile Organic Compounds (TVOC) |
0 to 10,000 ppb |
1.0 ppb |
± 1.5% FS |
| Ethanol & Short-Chain Alcohols |
0 to 500 ppm |
0.1 ppm |
± 2.0% FS |
| Organic Acids (Acetic, Butyric) |
0 to 200 ppm |
0.05 ppm |
± 1.8% FS |
| Aldehydes & Esters (Aroma Markers) |
0 to 1,000 ppb |
0.5 ppb |
± 2.5% FS |
4. Electrical Interface & Connector Pinout
The ICP-eNose-4000 features an industrial M12 8-pin A-coded male connector ensuring IP67 water and dust ingress resistance when coupled with factory cables.
12345678
| Pin # |
Wire Color |
Signal Name |
Description |
| 1 |
Brown |
VCC |
Main Power Input (+3.3V to +24V DC) |
| 2 |
White |
RS485_A / D+ |
Modbus RTU Differential Data Positive |
| 3 |
Blue |
GND |
Power & Signal Ground Baseline |
| 4 |
Black |
RS485_B / D- |
Modbus RTU Differential Data Negative |
| 5 |
Grey |
ANALOG_1 |
Selectable Output (0–10V / 4–20mA) – TVOC |
| 6 |
Pink |
ANALOG_2 |
Selectable Output (0–10V / 4–20mA) – Temp |
| 7 |
Violet |
WAKE_INT |
Wake-on-Radio (WoR) Interrupt Line |
| 8 |
Orange |
SHIELD |
Chassis Earth Ground Shielding |
5. Mechanical Specifications & Enclosure Dimensions
| Mechanical Property |
Specification & Material |
| Probe Housing Body |
316L Electroformed Stainless Steel (Food Grade Standard) |
| Overall Dimensions |
220 mm Length × 32 mm Outer Diameter |
| Sensing Element Protection |
Replaceable Micro-porous Sintered PTFE Filter Cap (10 µm Pore Size) |
| Ingress Protection Rating |
IP67 / NEMA 4X Certified (Submersible up to 1m for 30 mins) |
| Total Mass / Weight |
385 grams (excluding extension mounting flange) |
6. Ordering & Configuration Options
| Part Number Code |
Output Interface Option |
Sensing Head Configuration |
ICP-4000-MB |
Modbus RTU over RS-485 |
Standard Agro VOC Array (Tea / Coffee) |
ICP-4000-AN |
Dual Analog 0–10 V / 4–20 mA |
Standard Agro VOC Array |
ICP-4000-LORA |
Direct LoRa® RF Module Embed |
Extended VOC + Organic Acid Specialized Array |