The Internet of Things in agronomic production.

The Internet of Things in agronomic production.

Silvia Tomillo is the engineer who has developed AGM Global, a system that optimizes water usage on farms. In the future, the system could even be used in private gardens or in community gardens.

The creator of this application has used the Internet of Things, Big Data and Artificial Intelligence to achieve large economic savings, increasing the income of farmers while preserving water; an important non-renewable resource. The applied technology reduces costs while increasing production efficiency; this results in high corn, wheat or grapevine yields.

Firstly, AGM Global carries out a preliminary study of the level of technology on the farm. Subsequently, leaf sensors measure the water obtained by the plant, while other sensors monitor many other variables.

After collection, the data are recorded, processed and classified, generating a history and a database to work with. Thanks to the data in the database, the amount of water needed by the crops can be calculated. This makes it possible to achieve Regulated Deficit Irrigation (RDI); the maximum possible production can be achieved with the minimum amount of water.

To ensure the economic viability of the entire process, the number of sensors is limited to the amount that is needed for optimal results. Thanks to these measures, water consumption is reduced by some 20%-30%.

In comparison to other countries, Spain has a poorly digitalised primary sector. The study of new technologies that could be used for this purpose, is one of the objectives of Iot DIH. We seek to develop IoT, Big Data and Artificial Intelligence in order to modernize agricultural processes.

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