Smart Farming


About smart farming

Sure you have heard of smart farming (smart agriculture), but are you clear about what it means? In this article we explain what it consists of with practical examples, so that you do not confuse it with other nearby terms.

Smart farming aims to meet the challenge for humanity to feed the 9,000 million people who will populate the earth in 2050, a fact that will involve the production of 60% more food than at present.

To do this, it seeks to reduce and improve the use of natural resources through the practical application of information and data technologies. It involves not just machines, but all agricultural operations. An example is the use of smartphones or tablets to know in real time data on the state of the soil and crops or the use of resources. Thanks to this, farmers have the information they need to make informed decisions based on concrete and objective data.

Digital agriculture, meanwhile, would integrate smart farming and precision agriculture. To do this, it goes a step further by creating value from data. According to the definition of the German Agricultural Society, digital farming is the “consistent application of precision farming and smart farming methods, the interconnection between internal and external farm processes and the joint use of online databases and Big Data analysis ”.

Where is this smart farming taking place?

In smart farming the information is available to the farmer at any time, since the collection, analysis and storage of the information takes place in an automated way in the cloud . In this way, they can be accessed through a computer or mobile device.

The farmer receives extensive information and recommendations that help him make the best decisions for his crop. It is important to note that the data belongs to the farmer, and only he decides with whom and to what extent to share it.

Practical and applied examples of smart farming

Smart farming is a reality thanks to which yields are already being achieved much higher than those of a few years ago:

  • It has been implemented in different countries and crops, for example, in developments to model the sectoral productivity of agricultural commodities (raw materials) such as corn and soybeans (in the United States), palm oil (in Malaysia) or olive oil (in Spain).
  • The marketers of horticultural and fruit used to anticipate the receipt of their products. In this way they can design commercial strategies with distributors with a much smaller margin of error.
  • Agricultural companies use it to predict the evolution of pests and thus act at the optimal time and maximize their profitability .
  • A specific case worth mentioning is that of the fertilizer company Yara, which has launched the YaraIrix tool . It is an app that turns smartphones into nitrogen sensors with which farmers can measure the requirements of this element in their crops. Until now nitrogen analysis required very expensive equipment, restricting some farmers' access to this technology. However, with YaraIrix, it becomes an accessible practice for all of them.
  • The app measures chlorophyll levels using the smartphone's camera. This technology has been developed thanks to the capture of data made from many laboratory analyzes, crossed with the data obtained with the camera. From there, crossing all this data through mathematical models has obtained this fantastic tool with which time, resources and money are saved. It allows precise measurements of the nitrogen needs of crops and makes it easy for the farmer to apply the correct amount of fertilizer.

As you can see, we are in a period of exciting agricultural revolution, in which, thanks to the application of new concepts and innovations, many processes are being simplified and allowing the farmer to make much better use of resources.

With this article I hope I have helped you better understand what smart farming is.

Read more articles in our blog.

Share on Facebook Share on Twitter Share on LinkedIn
Back to top

Home | Privacy Policy | Terms of Use | Cookie Policy

Copyright 2011 - 2022 - All Rights Reserved