Improving food security

With water technology that we consistently develop to be safer and increasingly AI-embedded, we contribute to improve food security.

We help stabilise agricultural yields, for example through irrigation systems based on weather data in water-scarce regions.

Agriculture is facing mounting challenges worldwide. A growing global population and changing climatic conditions are putting more and more pressure on agricultural systems. At the same time, food production and the responsible use of water and other resources must go hand in hand.

Water is a vital necessity. What matters is not only how much water is available, but also how water use can be adapted to the irrigation requirements of agricultural land.

With our water technology, we support a range of applications in agriculture – from pumping and distributing water to the digitally controlling irrigation systems. Connecting operational, weather and other environmental data opens up new possibilities for managing water use according to demand and adapting irrigation processes to local conditions.

Targeted water use for agriculture

Tailoring irrigation systems to different requirements

Depending on the region, soil, climate and crop, agricultural land places very different demands on the water supply. Particularly in regions with limited water resources, it is essential to direct water as precisely as possible to where it is needed for cultivation.

Our water technology is used in a variety of irrigation systems, helping to pump, distribute and supply water in accordance with specific requirements. Digital control systems and the collection of operating data open up further opportunities to make the operation of irrigation systems more transparent and to control them more effectively. This allows the water supply to agricultural land to be adapted to the prevailing conditions.

Supporting precision irrigation with data

Weather and operating data for demand-based irrigation

Digital technologies are also changing the way agricultural land is managed. Weather data, information on soil moisture and other operating data can be combined to base irrigation decisions on current conditions.

Artificial intelligence can help analyse large volumes of data and identify correlations between the weather, water demand and system operation. In this way, analysed data can be used to control irrigation processes.

Case study: SolFrut Olive Oil Production, Argentina

Argentina is one of the major producers of olive oil. In the San Juan region, limited water resources pose particular challenges for the management of agricultural land.

SolFrut therefore uses modern irrigation and pump systems to supply water to the olive groves. The systems allow the available water to be distributed according to demand, facilitating the controlled operation of irrigation infrastructure.

Digital control approaches and data-driven irrigation strategies create further opportunities to adapt the water supply to local conditions.

Farming under challenging conditions

Water for arid regions and large croplands

In regions with high temperatures, low rainfall or difficult soil conditions, a reliable water supply is an essential prerequisite for agricultural use. The larger the size of the areas under cultivation and the more challenging the climate conditions, the greater the demands placed on the infrastructure for pumping of water and irrigation.

Networked pumps and distribution systems can help pump water along the designated transportation routes, providing it for agricultural applications.

Case study: Toshka Project, Egypt

The Toshka Project is one of Egypt’s large-scale agricultural development projects. The aim is to make land that has hardly or not been used for agriculture up to now suitable for farming through targeted irrigation.

Water is carried from Lake Nasser to newly developed agricultural areas via a far-reaching water transportation system. There, networked irrigation systems distribute the water across vast areas.

The project demonstrates the importance of water infrastructure for large-scale agricultural applications in challenging climate conditions.

Smart water technology, smart agriculture

Creating transparency with operating data

Agricultural operations and irrigation projects must adapt to changing weather conditions, varying water availability and complex operational requirements. Digital technologies can help consolidate information on systems and water consumption as well as monitor operating processes remotely.

The combination of sensor technology, communication and digital control makes it possible to continuously record defined operational data from pumping stations and irrigation systems. This makes operational processes more transparent and allows operators to be fine-tune them where needed.

Case study: Nagalwadi Irrigation Project, India

In the Indian state of Madhya Pradesh, the Nagalwadi Project supports the irrigation of around 47,000 hectares of agricultural land in more than 100 villages.

Infrastructure is monitored and controlled by modern pumping stations, digital control systems and a LoRaWAN-based communications network. Relevant operational information can be collected remotely and used to operate the irrigation systems.

Mobile applications also facilitate access to operational information and help coordinate the water supply.

Developing agricultural systems further

Linking water technology, digitalisation and AI

The demands placed on agriculture are changing, and with them the demands placed on the water supply. Particularly in areas where water is scarce or weather conditions fluctuate more significantly, digital information can provide an important basis for controlling irrigation systems.

Our water technology is used in a variety of agricultural applications. Connecting digital technologies and AI opens up further opportunities to analyse operating data, control irrigation processes more precisely and adapt the use of available water resources to local conditions.