Assisted Farming – Engineering agriculture through smart solutions

Guiding Theme 2019

What innovative technologies support agricultural business models? What tools, components or systems can help optimise the functionality of modern agricultural machinery? SYSTEMS & COMPONENTS, held together with AGRITECHNICA in Hanover from 10 to 16 November, will address these topics presented by the off-highway sector. With the guiding theme of “Assisted Farming“, this international B2B platform will focus on assistance systems for agricultural machinery and their interplay with the upstream and downstream areas.

One of the dominating trends in agricultural machinery is the electrification of drive trains. The use of exclusively electric motors is already possible in light-duty operations. By contrast, in medium and heavy-duty applications there is currently no alternative to internal combustion engines as the main drive source. Electrification can improve efficiency and downsizing of a combustion engine in a hybrid combination, while there is still substantial potential for operating standard four-cylinder and six-cylinder engines in an environmentally friendly manner based on fuel choice. Alternative fuels such as biodiesel and e-fuels open up prospects for CO2-neutral operation.

Parallel with this, design engineers are adjusting to additive production. The possibilities of building up three-dimensional objects from plastic, ceramics or metal have grown exponentially. Today, production of complex geometrical structures with greatly improved material properties without using moulds and tools is state of the art. One of the many advantages is the freedom in product design. It is just as possible to produce a tractor-joystick to match customer requirements as it is to deliver bionically shaped lightweight designs in a combine harvester or to guarantee delivery of parts almost unlimited in terms of time and space.

For agricultural machinery manufacturers, condition Monitoring und predictive maintenance are at the top of the agenda. Prevention is becoming increasingly important as any unplanned downtime reduces productivity. Thanks to innovative sensor technology, critical incidents and operating conditions with high wear potential can be detected early on before they occur. Recording and collecting sensor data and above all interpreting this intelligently with the help of Big-Data-Analytics improves efficiency and operational reliability. Downtime is reduced as the need of service technicians and spare parts can be predicted and provided in a targeted manner.

Assisted Farming requires the availability of precise data. Digital platforms are the central module for networking artificial intelligence and digital data. They open up new business models for manufacturers and farmers and demand a high degree of interdisciplinary cooperation.