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Advanced technologies presented in Ribeirão Preto show how intelligent machines are transforming agricultural decisions in real time, increasing operational efficiency and creating a new standard of productivity in Brazilian agribusiness
The digital transformation in agribusiness is no longer a distant promise — it is happening now, before the eyes of producers, specialists, and companies in the sector. During Agrishow 2026, held in Ribeirão Preto (SP), tractors equipped with artificial intelligence that speak, learn, and operate autonomously became the main protagonists of the event.
The information was released by “g1”, which closely followed the main innovations presented at the fair and highlighted how these technologies are changing the way rural producers make decisions and conduct their operations in the field.
Furthermore, these solutions emerge with a clear objective: to increase productivity, reduce costs, and make the agricultural process more efficient and strategic. Thus, the use of artificial intelligence in the field ceases to be just a trend and becomes a concrete reality.
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Tractor with artificial intelligence that converses with the producer in real time
Among the highlights of Agrishow 2026, one of the pieces of equipment that attracted the most attention was the so-called “Talking Tractor”, developed by Valtra.
This artificial intelligence tractor was designed to interact directly with the operator through voice or text commands. In other words, the producer can talk to the machine as if speaking to a virtual assistant.
According to Claudio Esteves, Valtra’s sales director, the main objective of the project is to bring people closer to technology. According to him, the proposal is to use the practically infinite potential of artificial intelligence to improve real-time decision-making.
In practice, its operation is simple and extremely efficient. The operator can ask basic questions, such as the machine’s fuel consumption, or even request more complex technical information.
In addition, the system stores historical operation data. This means that the producer can consult information about activities carried out months earlier. For example, they can ask how much fuel was used in a planting done a year ago, and the tractor provides the answer immediately.
Another important point is that the system learns with continuous use. In other words, the more the producer uses the technology, the more precise and personalized the interaction becomes.
Although still in the testing phase, this innovation already demonstrates the potential to completely transform the relationship between operator and machine in the field.
Autonomous tractor: machines that work alone are already a reality
If a tractor that answers questions is already impressive, the concept of machines that operate completely alone takes innovation to another level.
At Agrishow 2026, the OutRun system, developed by PTx, presented exactly this proposal: transforming conventional tractors into autonomous equipment through a technological kit.
Contrary to what many imagine, it is not necessary to acquire a new tractor. The system can be installed on existing machines, making the solution more accessible to producers.
According to Giancarlo Fasolin, the company’s Strategic Marketing Manager, this technology represents a milestone in the evolution of agribusiness. He defines the concept as “assisted autonomy,” where the operator still participates in the process, but in a more strategic way.
The system’s operation is quite intuitive. First, the route is programmed via a tablet. Then, the operator starts the operation outside the cabin. From that moment on, the tractor proceeds alone, executing exactly the defined route.
Furthermore, the system’s precision is one of its greatest differentials. During harvesting, for example, the tractor can automatically follow a combine harvester, positioning itself correctly to receive the grains without errors or waste.
Consequently, the process becomes more efficient, faster, and more economical.
Another relevant point is that this technology does not aim to replace human labor. On the contrary, it seeks to qualify professionals, allowing them to assume more strategic roles within the agricultural operation.
Artificial intelligence in the field: more productivity with less cost
Given these innovations, it is evident that artificial intelligence is redefining the future of agribusiness.
On one hand, technologies like the “talking” tractor facilitate decision-making, offering precise information in real-time. On the other hand, autonomous systems reduce operational costs and increase the efficiency of activities in the field.
Furthermore, the integration of data, automation, and machine learning allows for a level of control and predictability that was not previously possible.
Consequently, the rural producer gains a more strategic view of the business, being able to optimize resources, reduce waste, and increase productivity sustainably.
Another important factor is that these technologies are already being developed with the reality of the Brazilian countryside in mind. This means that their application is likely to grow rapidly in the coming years.
Therefore, what once seemed like a scene from a futuristic movie — like talking to a tractor or seeing machines working by themselves — is now part of the present of agribusiness.
Conclusion: The future of agribusiness has already begun
Agrishow 2026 made it clear that the future of the countryside will be increasingly technological, connected, and intelligent.
The solutions presented show that artificial intelligence not only automates tasks but also enhances the producer’s decision-making capacity.
Furthermore, by reducing costs and increasing efficiency, these technologies directly contribute to the competitiveness of Brazilian agribusiness in the global scenario.
Thus, investing in innovation ceases to be an option and becomes a strategic necessity.
Do you believe that autonomous machines will completely dominate farm work in the coming years, or will there still be room for the human factor?
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