Time Series Forecasting and Internet of Things (IoT) in Grain Storage
Authors: Vinay Mehendiratta, PhD, Director of Research and Analytics, Eka Software
Sishir Kumar Pagada, Senior Software Engineer, Eka Software
Created as part of the Data Science for IoT practitioners course – starting Nov 10 2015
The pdf version of this paper may be downloaded HERE
Grain storage operators are always trying to minimize the cost of their supply chain. Understanding relationship between receival, outturn, within storage site and between storage site movements can provide us insights that can be useful in planning for the next harvest reason, estimating the throughput capacity of the system, relationship between throughout and inventory. This article explores the potential of scanner data in advance analytics. Combination of these two fields has the potential to be useful for grain storage business. The study describes Grain storage scenarios in the Australian context.
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