The Wavelength Puzzle: Why 950-1650nm Dominates Agricultural NIR

Sep 10, 2025

Near-infrared spectroscopys power in agriculture hinges on a critical choice: 950-1650 nm wavelength range. This isnt arbitrary its the science-driven sweet spot for precision, penetration, and rugged reliability. Heres why:

 

1. Penetration Depth: The Core Trade-Off

Light penetration dictates what you can measure. Our research reveals:

 

Material         Optimal Wavelength      Penetration Depth      Accuracy Impact

Grains          1,1001,300 nm           23 mm          Protein: ±0.15%

Oils/Seeds       9501,050 nm           0.51 mm          Moisture: ±0.1%

Powders           1,2001,400 nm        12 mm           Starch: ±0.2%

 

Why 950-1650 nm wins:

 

Grains: Deeper penetration (2-3mm) captures whole-kernel chemistry.

 

Oils: Shallow depth (0.5mm) avoids container interference.

 

Single Device Flexibility: Covers 95% of agricultural samples.

 

�� Example: Soybean moisture detection fails at >1,700 nm (absorbed by surface only).

 

 

2. InGaAs Sensors: The Unrivaled Field Warrior

 

Material Science Advantage

Composition: In.₅₃Ga.₄₇As ternary alloy precisely targets 900-1,700 nm.

 

Quantum Efficiency: 85-90% (vs. Si sensors' <10% at 1,500 nm).

 

Thermal Stability: Coefficient matched to ceramic substrates minimizes drift.

 

Environmental Validation Data

Stress Test           InGaAS Performance         Alternative Sensors

45°C / 85% RH, 500h  Wavelength shift <0.1 nm   PbS detectors fail >40°C

5g Vibration          SNR* maintains >50,000:1   Grating systems decalibrate

Dust Exposure           Signal attenuation <3%   Requires frequent cleaning

3. Agricultural Impact: Evidence from Research

Rice Milling Optimization (Vietnam Study)

 

Challenge: Surface moisture sensors missed internal gradients (14-18% variation).

 

950-1650 nm Solution:

2mm penetration depth detected core moisture hotspots.

 

Result:

9% broken rice (vs. traditional drying)

15% energy consumption

 

 

 

Oil Palm Fraud Prevention (Malaysian Journal of Agriculture)

Method: 1,050 nm scans of palm kernels (0.8mm penetration).

 

Accuracy: Detected 7% stearin adulteration at R²=0.98.

 

Competing Wavelength Limitations

Range         Agricultural Drawbacks                 Technical Root Cause

<950 nm     Surface contamination skews results Insufficient photon energy for penetration

>1,650 nm  Requires liquid nitrogen cooling       High thermal noise in HgCdTe detectors

Broadband Water absorption masks critical signals       Overlapping O-H harmonics

  • IAS ANALYSIS (IAS) is a technology innovation brand that focuses on the research and application of spectral analysis technology. Positioned to serve the global market,IAS is committed to providing personalized and intelligent spectral analysis technology terminal products and services through technological and product innovation. 
    Our goal is to enhance the efficiency of trade and production, enable traceability, and promote the sustainable development of society through spectral analysis technology.

© 2025 IAS Global Pte. Ltd.  AIl Rights Reserved.