Agriculture has suffered three revolutions in the last 100 years that have led it to be the activity as we know it right now. However, in these very moments, we are witnessing a new revolution.
A revolution that is bringing two worlds as far apart as work on earth with information technology and massive data management, or Big Data.
The Data Revolution has reached agriculture. Agriculture 4.0 The dimension 4.0 of which we speak is a dimension in which everything is connected. Everything emits data that can be captured and analyzed in a massive way. And after that analysis, the user receives the best options so as not to err in his decision.
And this was 4.0 is applicable, and is being applied, in agriculture today. Many actors have seen a great opportunity to make agriculture more productive, more sustainable and less consumerist of resources.
And all this, just by analyzing the data we can obtain from an olive or animal, to the sales of the product in international markets. And all this is possible to a technology: Big Data. Even the EU has seen the potential of Big Data, and numerous reports highlight three trends, above all others, that will affect agriculture the most by 2030: precision agriculture, automation and integration / cooperation.
Needless to say, the first two are fed data to be a reality.
Big Data agricultural what does it contribute?
Analyzing numerous projects and real experiences in which Big Data has been applied to agriculture and livestock, I have extracted the most important points that can make this technology a real revolution.
Not only of the agricultural or livestock farm, but throughout the entire food chain:
- Higher production: real experiences with Big Data has led to increased yields of cereal crops up to 0.44 t / ha.
- Reduction of inputs: another experience in German farms have shown that it is possible to reduce the consumption of different inputs (fertilizers, herbicides, fuel) between 10-20%.
- Analyze global, act locally: Big Data allows you to collect data from all your farm, analyze them and return the analysis by parcels. This allows the farmer to adjust the phytosanitary treatment or fertilizer to a certain area of his farm. With the consequent saving and protection to the environment.