TY - GEN
T1 - Estimation of durability of rice grains using sensors and mobile technology
AU - Reddy, N. G.Kishore Kumar
AU - Anand, Koushik
AU - Priyadharshini, R.
AU - Rajeshwari, K.
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/12/28
Y1 - 2016/12/28
N2 - The measurement of moisture content in Rice granules is important for storage of rice. The moisture content present in the rice granules affects the quality and toughness of the final product. Existing systems that were proposed to measure the moisture content of rice granules are not practical enough. Their performance is influenced by material density and packing. The official oven method consumes more time. The moisture content of rice granules is measured by the equilibrium relative humidity technique [ERH]. The equilibrium relative humidity, and temperature, of rice granules were measured by using temperature and relative humidity sensors. Sensors are calibrated to improve accuracy. The moisture content was calculated by using an equilibrium moisture content model. The data collected from the sensors are sent to the user which gives intimation about the prevailing conditions in the storage place as a message. According to the message, the prevention methods are listed. The error of the moisture content determined with this method was within 0.5% w.b. at moisture.
AB - The measurement of moisture content in Rice granules is important for storage of rice. The moisture content present in the rice granules affects the quality and toughness of the final product. Existing systems that were proposed to measure the moisture content of rice granules are not practical enough. Their performance is influenced by material density and packing. The official oven method consumes more time. The moisture content of rice granules is measured by the equilibrium relative humidity technique [ERH]. The equilibrium relative humidity, and temperature, of rice granules were measured by using temperature and relative humidity sensors. Sensors are calibrated to improve accuracy. The moisture content was calculated by using an equilibrium moisture content model. The data collected from the sensors are sent to the user which gives intimation about the prevailing conditions in the storage place as a message. According to the message, the prevention methods are listed. The error of the moisture content determined with this method was within 0.5% w.b. at moisture.
KW - Equilibrium Relative Humidity
KW - Moisture Content
KW - Rice Granules
KW - Storage
UR - http://www.scopus.com/inward/record.url?scp=85010645274&partnerID=8YFLogxK
U2 - 10.1109/TIAR.2016.7801209
DO - 10.1109/TIAR.2016.7801209
M3 - Conference contribution
AN - SCOPUS:85010645274
T3 - Proceedings - 2016 IEEE International Conference on Technological Innovations in ICT for Agriculture and Rural Development, TIAR 2016
SP - 33
EP - 35
BT - Proceedings - 2016 IEEE International Conference on Technological Innovations in ICT for Agriculture and Rural Development, TIAR 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd IEEE International Conference on Technological Innovations in ICT for Agriculture and Rural Development, TIAR 2016
Y2 - 15 July 2016 through 16 July 2016
ER -