Rice production depends on good quality of paddy. In this research, the capability of thermal
imaging to determine the quality of paddy based on the properties used in a Deduction Schedule
namely moisture content, immature condition and foreign material is presented. First, the
heating and cooling treatment was applied to the samples. FLIR E60 thermal camera was used
to acquire images of the sample. Therefore, each samples were represented by a thermal index
calculated based on the average value of pixels in the thermal image. Results of the experiment
have shown that highly significant relationship were exist between thermal index and maturity
stage and moisture content of paddy with r = -0.948 and 0.896, respectively. It also worked
well in detecting foreign material (chaff) at 25s after cooling. The method gave accurate results
with 92% for moisture content determination, 90% for maturity stage prediction and 100% for
chaff detection.