Optimising productivity, variety recommendations and mill operations through analysis of mill data (Old ID 23098)
Sugar Research Australia
Role
Principal Investigator
Description
Since 20009 sugarcane productivity has fluctuated dramatically across most mill areas. Although some of this regional variation can be explained by extreme weather events or disease incursions it is important to identify those causes which can be controlled in order to increase production/profitability for industry. Hugh amounts of data are captured annually by each mill and this significant investment is under-utilised in decision making. This project will develop innovative tools to analyse and summarise mill data with the view to optimize production/profitability.
Date
01 Jan 2016 - 01 May 2018
Project Type
N/A
Keywords
Data Mining;Big Data;Production;Optimisation;Sugar Cane;Statistics
Funding Body
Sugar Research Australia
Amount
11927
Project Team
N/A
