Measuring thermal energy of surface contaminants

AI Thread Summary
A thermal camera could potentially detect temperature differentials in agricultural commodities like corn as they cool, particularly in the presence of surface contaminants such as mold or fungus. The FLIR SC7000 Series offers high sensitivity, capable of capturing temperature differences as small as 20 mK, which may allow for the differentiation between clean and contaminated kernels. However, the actual detectability of these differences could be minimal and challenging to observe. It is advisable to consult the manufacturer for more specific insights regarding the camera's capabilities in this context. Overall, while theoretically feasible, practical detection may vary based on the sensitivity of the equipment and the extent of contamination.
Jake Platt
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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).
 
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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.
 
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