/Antonio Morales

About Antonio Morales

Antonio Morales is Software Engineer and Technical Leader in Adasa. During more than 10 years designing and implementing tools and systems for all kind of environmental and water related organisations (river basins, environmental agencies, irrigation companies, governmental agencies, etc.), Antonio has gained an extensive and valuable insight on the technologies and architectural paradigms that better suit the business. Since 2013, he has been involved on the Rural Water Intelligence systems development and implementation. He holds a Master Degree in Computer Science and several software certifications like Oracle Certified Java Programmer, Web Component Developer or Certified Aquarius Integrator.
Technical Leader @ Adasa
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HydrOptim: optimising water and energy in irrigation systems

The key to minimising costs and increasing water efficiency in an irrigation distribution system is having the correct delivery strategy, that answers the following questions: How much water will be needed at the head of the distribution system? How much water should I release from the storages to satisfy demand and/or environmental flows? What [...]

By |June 19th, 2017|Modelling, Prediction / Forecast, Scheme Operation|
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Water Quality in Delft-FEWS

During the last 26, 27 and 28 of April, the Bureau of Meteorology, Seqwater and Deltares orgnanised the Australia and Asia Delft-FEWS User Days 2017. Following the success on previous editions, the User Days brought together the Delft-FEWS Australian community of users and featured 15 presentations, two parallel sessions on new features and the future [...]

By |May 30th, 2017|Data Integration & Visualisation|
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Real-time data pipelines, an innovative data integration approach

New technologies developed by the biggest players in Big Data (Yahoo, Google, Facebook, LinkedIn, etc.) are changing the way data and information are managed. And sometimes, very quickly. Some of these technologies are not easy to understand or apply to other business; but others are. One of these technologies is Apache Kafka, a “unified, high-throughput [...]

By |May 3rd, 2017|Market Trends|
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Enterprise Asset Management vs Strategic Asset Management

In our last entry, we explained how the use of an asset management system can significantly help you improve your asset management practices. But, what makes a “good” asset management system? An adequate asset management system should provide, at least, the following capabilities: An asset register to track asset identity, location and condition from [...]

By |March 27th, 2017|Asset Management|
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Get the best out of your assets

Asset Management is the practice of managing the entire life-cycle of physical (and non-physical) assets in order to provide the required level of service in the most cost-effective manner, creating the biggest value for your organisation. This may seem grandiloquent, and maybe evident, but it does not make it less true or less necessary. Even [...]

By |March 20th, 2017|Asset Management|
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The Data cycle (II). Data integration

Throughout this Data cycle series, we are having a look at the journey of our data from its generation to its storage and interpretation. In the first chapter, Data generation and collection, we discovered the diversity in the nature of the RWI data and how different the data sources of our system can be. [...]

By |July 18th, 2016|Data Integration & Visualisation|
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RWI at Delft-FEWS User Days Australia 2016

As proud members of the Delft-FEWS Australian User Community, Adasa and Murrumbidgee Irrigation have presented the MIOPS(*) Rural Water Intelligence solution in the 3rd Delft-FEWS User Days Australia held at the Bureau of Meteorology (BoM) offices in Melbourne on the 27th and 29th April. During these User Days – organised by [...]

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The Data cycle (I). Data generation and collection

The data is one of the bigger, maybe the biggest, pillar in the Rural Water Intelligence solutions. The data is something alive, not static, and goes through different phases, from capture to storing or interpretation. It follows what I like to call the Data cycle. Five steps can be identified in this data cycle [...]

By |March 21st, 2016|Data Integration & Visualisation|
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Making your Data Available

Business Intelligence. Big Data. Data Mining. Modelling. Forecasting. These are concepts that probably you already know or you will be hearing from very soon. Those concepts cannot exist without Data - we have already talked about that in these pages. But these concepts are not just about collecting and storing your data. [...]

By |February 22nd, 2016|Modelling|