Technology will be humanity’s main allied when it comes to reducing social inequalities and progressing towards a fairer, cleaner and safer world. Therefore, in this series of articles we take the Sustainable Development Goals proposed by the United Nations for 2030 to demonstrate how ICT will be the key to their achievement.
In today’s article we want to show the benefits that technology brings in order to achieve SDG number 6: ensuring the availability of water and its sustainable management and sanitation for all.
This is done through two main technological pillars, connectivity and Artificial Intelligence. In this way, the aim is to monitor water resources and, above all, to optimize their use in the industrial sector so that such a precious commodity as water can continue to be used for many years to come and its price does not represent an impediment for the most vulnerable.
In Gradiant we have been committed for many years to optimizing the production processes of companies. We do this to improve their performance and facilitate decision-making, but also to enable them to save resources such as water. To do this, we use top-level technologies, such as the famous Internet of Things, or more recently 5G, a new network that we have been working with for some time and which has significant advantages over current communications systems.
On the other hand, it is important to highlight the functionalities that these technologies have in the agricultural sector. Thus, facilitating communications in the rural sector and modernizing production are two key objectives if we want to limit water wastage. A more modern, automated and sustainable agriculture will be of great help in meeting this major global challenge.
Artificial Intelligence is one of Gradiant’s technological pillars. It integrates a large number of technologies and solutions aimed at optimizing all types of activities. In order to protect water reserves, it is necessary to develop a system capable of monitoring and protecting these reserves from threats. To make this possible, artificial vision systems are used, among others, in natural environments. These are similar to those we implement with our PRIMARE, which allows the automation of field controls through the use of drones and with intelligent video analysis technology, which with some alterations could serve to reduce the costs of monitoring aquifers, reservoirs, lakes, etc.