Icon: RSS Icon: Email Icon: Twitter Icon: Facebook Icon: Linked In Icon: YouTube Icon: Leaf

25 Quintillion Reasons

Posted on October 09 2013 | Author: Tom Dowler

25 Quintillion – 25 followed by 18 zeros. This is the number of bytes of data that are generated in our world every single day!

Ubiquitous use of mobile devices and internet, as well as improvements in sensor technologies, machine data, GPS and other means of data production, have drastically expanded the volume of available information over recent years. Now that we know just how much data is out there, how do we distill significant value from data set after data set that are seemingly unrelated? This is where the term “Big Data” comes in.

A term that has been thrown around frequently, Big Data is a collection of complex data sets so large that until recently, could not be processed using traditional database management tools or data processing applications. Thanks to recent developments in data storage such as “The Cloud”, low cost data processing technology, and improved data mining and analytics, we now have the tools to apply these vast amounts of data to every day decisions made across industries.

The flow of Big Data platforms generally moves from data collection to integration of data sets. This data integration, often through customized algorithms, provides outputs that support decision making, business and operational actions. The overall goal of using data integration is to more efficiently accomplish the task or problem it is being applied to.

In the world of agriculture, the use of Big Data platforms to increase efficiencies, often in agricultural production, is called Precision Agriculture. This term is becoming increasingly popular in ag-industry and ag-investment circles.

As the 2009 IPhone 3G commercial stated “there’s an app for that”. This refers to the user-friendly platforms that can be set up to provide useful decision support means to customers and it is becoming increasingly more common in agriculture.

So how is Big Data being applied in agriculture? Well…
How do I link my field data to my farm equipment to ensure efficient variable rate seeding and spraying?… There’s an app for that!
How can I integrate weather data, information from soil sensors, and irrigation unit sensors to manage my water use?... There’s an app for that!
How do I manage real-time disease risks to my livestock operation?...you get the point.

Just like any other industry, a major driver of the agriculture industry is profit margins, and any means of increasing efficiencies in terms of inputs-in to yield-out is welcomed by producers. Coupled with the well documented issue of limited acres of agricultural land and increasing global population, demand for advanced methods of squeezing out greater yields per acre have set the table for Big Data to play a huge role in agriculture for years to come.

Tom Dowler
Senior Business Analyst

Image credit: www.climate.com






Email this page to a friend
Comment

Search

 

 

Select an Author...

Admin | Alexander Lazier | Alexandra Coccari | Britney Hess | Carolyn Dowling | Crystal Sarantoulias | Dave Smardon | Doug Knox | Emily Hartwig | Ingrid Fung | Jennifer Kalanda | Jessica Bowes | Jessica Taylor | Johanna Simco | John Pickard | Kelly Laidlaw | Laura Millson | Mary Dimou | Michelle Kienitz | Poonam Patel | Rattan Gill | Sophie Wotten | Tom Dowler | Victoria Lennox

Select a Topic...

BusinessHacks | Entrepreneur | Innovation | Investor

Archives

August 2017 | July 2017 | June 2017 | May 2017 | April 2017 | March 2017 | February 2017 | January 2017 | December 2016 | November 2016 | October 2016 | September 2016 | August 2016 | July 2016 | June 2016 | May 2016 | April 2016 | March 2016 | February 2016 | January 2016 | December 2015 | November 2015 | October 2015 | September 2015 | August 2015 | July 2015 | June 2015 | May 2015 | April 2015 | March 2015 | February 2015 | January 2015 | December 2014 | November 2014 | October 2014 | September 2014 | August 2014 | July 2014 | June 2014 | May 2014 | April 2014 | March 2014 | February 2014 | January 2014 | December 2013 | November 2013 | October 2013 | September 2013 | August 2013 | July 2013 | June 2013 | May 2013 | April 2013 | March 2013 | February 2013 | January 2013 | December 2012 | November 2012 | October 2012 | September 2012 | August 2012 | July 2012 | June 2012 | May 2012 | April 2012 | March 2012 | February 2012 | January 2012 | November 2011 | October 2011 | September 2011 | August 2011

Main Body Footer