Here’s a world-class example of the Internet of Things.
Deere & Co – which controls about two-thirds of the U.S. market for high-horsepower farm tractors – decided to strengthen its cooperation with Monsanto Co, which has spent more than $1 billion to build out its suite of computerized farming services.
Combining the data Deere tractors collect “near real time” with the data of Monsantos climate division, the cooperation seeks to boost crop yields and enable the use of equipment, seeds and fertilizers more efficiently.
This is a beautiful and clear real-life example of how the benefits of Industrial Internet materialize to the end-user – farmers, in this case. The tractors they’ve been using have been collecting data already, and it’s very likely that Deere has used that data to improve their machinery in every way possible.
But when you combine that data near real-time with other data sources – like climate data in this case – the benefits jump to a whole another level.
Now farmers can predict and better plan their work, taking into consideration variables that were previously unavailable to them. This leads to greater crop, less waste and ultimately more food for people.
So, farming advice is the understandable, visible result of the data cooperation between Deere and Monsanto.
But Deere has manufactured a vast amount of tractors, that are widely in use in the U.S and in other parts of the world. How do you manage such vast amounts of data they produce?
While we can’t tell you names, we can tell you a case about a very similar situation.
One good way in controlling the data of multiple vehicles is to have each of the vehicles collect data on their own boxes, and then have a centralized hub for collecting all the data from all the vehicles. You then move all of that data into an analytics core for deep analysis and combination with other data sources.
You can look back in time with deeper data crunching, and over time you can find trends, be able to make predictions and do all kinds of other useful things.
We have coined a new term for the data world: “Discovery Analytics Service”. It simply means producing “farming advice” for high-level executives. Instead of having to invest millions in data equipment – and then having to hire 10 people to manage all of it – we offer a very reasonably priced service on a monthly-fee basis, with which Industrial Internet companies can quickly realize all the potential in their data.
Normally, planning, buying and implementing high-level data gear can take months or – in some unlucky cases – even years. Our service is typically up and running in less than 2 weeks.
Would you like to get ready-to-go “farming advice” about increasing your crop? Leave us a message, and let’s see what we can do for you.
PS: Read our data sheet about Discovery Analytics Service here.
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