Measuring thermal energy of surface contaminants

Click For Summary
SUMMARY

The discussion centers on the capability of thermal cameras, specifically the FLIR SC7000 Series, to detect temperature differentials in agricultural commodities like corn when subjected to a heat source. The FLIR SC7000 Series boasts a thermal sensitivity of up to 20 mK, which allows for the detection of minute temperature differences. This sensitivity suggests that the camera can effectively distinguish between clean corn kernels and those contaminated with mold or fungus. For definitive results, contacting the manufacturer for further clarification is recommended.

PREREQUISITES
  • Understanding of thermal imaging technology
  • Familiarity with the FLIR SC7000 Series specifications
  • Knowledge of agricultural commodity temperature dynamics
  • Basic concepts of surface contamination in agriculture
NEXT STEPS
  • Research the capabilities of FLIR thermal cameras in agricultural applications
  • Explore methods for measuring temperature differentials in agricultural products
  • Investigate the impact of surface contaminants on thermal readings
  • Learn about the specifications and features of other thermal imaging tools
USEFUL FOR

Agricultural scientists, thermal imaging specialists, and quality control professionals in the food industry will benefit from this discussion.

Jake Platt
Messages
23
Reaction score
0
Using a heat source to increase the temperature of an agricultural commodity like corn, could a thermal camera detect temperature differentials over time as the commodity cools, versus localized surface contaminants such as mold or fungus? I'm thinking yes in theory but the differences might be imperceptibly small and thus undetectable by a thermal camera (such as flir for example).
 
Science news on Phys.org
The FLIR SC7000 Series specification says:

“High Sensitivity: up to 20 mK
20 mk thermal sensitivity captures the finest image details and temperature difference information.”
http://www.flir.com/cs/emea/en/view/?id=42576

So, it would seem that it could easily discriminate a “clean” kernel of corn, for instance, from one covered with mold or fungus.
I suggest you contact the manufacturer with your question.
 

Similar threads

  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 16 ·
Replies
16
Views
14K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 2 ·
Replies
2
Views
3K
  • · Replies 19 ·
Replies
19
Views
3K
  • · Replies 4 ·
Replies
4
Views
3K
  • · Replies 5 ·
Replies
5
Views
2K
  • · Replies 152 ·
6
Replies
152
Views
11K
  • · Replies 5 ·
Replies
5
Views
527
  • · Replies 1 ·
Replies
1
Views
2K