Development of Moisture Prediction Model for Tea using Electrical Impedance Spectroscopy

Arti Sharma, Baban Kumar Bansod, Ritula Thakur

Moisture content, electrical properties variation, impedance analyzer, partial least square regression, moisture prediction model

Moisture is the most essential parameter for tea leaves for storage and consumption stage as it affects the physical and chemical aspects of tea leaves with which it relates the stability and freshness the tea leaves for a long time. The most essential parameter which affects the quality of tea leaves is moisture for post harvesting, processing, storage and transport. The main aim of this study is to development procedure for moisture content measurements of fresh tea leaves using measurement acquired by electrical properties. Method This relation is obtained the frequency range within between 100 kHz to 300 MHz and moisture content ranges between 2%-75%. A good relation between moisture content and correlate with variations in electrical properties viz. IZI, Ѳz, R, Cp, Cs has been observed by partial least square regression technique. Result Moisture prediction model was developed by applying electrical properties and that the new technique it was observed more accuracy obtained using a single parameter as compared with that moisture measurement. Conclusion the model which is developed can evaluated with in performance the moisture content a commercial moisture meter which is expected.

10.22161/ijaers.4.2.8