Oscillation effect dataset on the measurement accuracy of load-cell sensor applied to the weigh basket

Arianti, Nunik Destria and Muslih, Muhamad and Sitorus, Agustami and Bulan, Ramayanty (2021) Oscillation effect dataset on the measurement accuracy of load-cell sensor applied to the weigh basket. In: ELSEVIER.

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The dataset in the form of weight, which will be closely related to the moisture content of agricultural products that
have been dried in a mechanical dryer, is important to know
precisely. Changes in these properties occur very quickly, so
that it is important to prepare a system that is integrated
with the mechanical dryer, especially the fluidized dryer
type. On the one hand, the fluidizing dryer causes a shock to
the weigh basket, connected to the weighing system mechanism. Therefore, this article collects a dataset of the weight
of agricultural products (maize and soybeans) that have experienced shocks on two weigh baskets that could potentially be used in fluidization-type mechanical dryers. A loadcell sensor connected to a weigh basket is used to measure
the weight of the agricultural product. A new generation of
IoT techniques will control the sensor. Its microcontroller will
send data to the cloud server via an internet network. There
were a total of 120 treatments in the raw dataset. For agriculture engineering researchers, this data will provide benefits in measuring the weight of agricultural material in the
form of grain dried in a mechanical dryer, especially the type
of fluidized dryer, it can be more accurately explained.

Item Type: Conference or Workshop Item (Other)
Subjects: Computer > Information System
Divisions: Faculty of Engineering, Computer and Design > Information System
Depositing User: LIU Library Unit
Date Deposited: 05 Oct 2022 09:25
Last Modified: 05 Oct 2022 09:25
URI: http://repository.nusaputra.ac.id/id/eprint/268

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