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The timing is crucial: while industry, suppliers, dealers, and farmers seek to understand the complex current scenario, they are also beginning to plan their strategies and investments for the start of the 2026/2027 harvest season, which is approaching. At the same time, advances in artificial intelligence, the pursuit of reduced carbon emissions, and the strategic use of data are changing how agricultural machinery is developed, operated, and integrated into production. And it is precisely at this privileged moment in the calendar that the SAE Brazil Agricultural Machinery Symposium arrives to shed light on the market. With the theme "Agricultural Machinery for a smart and decarbonized agriculture," the event will take place on September 2nd at the CIEE Banrisul Theater in Porto Alegre (RS).
"What we're talking about is how technology, innovation, and new ideas are changing the field. In addition to a high-level technical program, it will be an excellent opportunity for us to get together, exchange experiences, and also learn about the solutions presented by the exhibitors," comments Rodrigo Bonato, Chairperson of the Symposium and Vice President of Sales and Marketing for Latin America at John Deere.
A tradition on the industry calendar, the event will bring together professionals, experts, companies, and industry leaders to discuss the impacts of technological transformations on agriculture and the paths to more efficient, connected, and sustainable mechanization. The program will cover topics ranging from scenarios for agribusiness to new applications of artificial intelligence, energy transition, and data-driven business models.
According to Leandro Pires, regional director for Porto Alegre at SAE Brazil, the technological transformation of agricultural machinery has gone beyond automation and is now directly influencing decision-making in the field. "We are facing a structural change in the agricultural machinery industry. The machine is no longer just a piece of equipment used to perform an operation, but is becoming a platform capable of generating data, interpreting information, and supporting decisions. The challenge now is to transform all this technology into concrete gains in productivity, efficiency, and sustainability for the producer," he states.
The program begins with an analysis by Carlos Cogo on the scenarios and perspectives for agribusiness, contextualizing economic, technological, and environmental trends that impact the entire production chain. Following this, the panel "Decarbonization of Agricultural Powertrains: Risk or Opportunity?" will discuss the technical, economic, and strategic challenges related to the energy transition of agricultural machinery and its effects on the industry and producers.
Artificial intelligence will be prominently featured in the International Panel - "AI in the Field: From Telemetry to Autonomous Decision Making," which will discuss how data, sensors, telemetry, embedded intelligence, and machine learning are expanding the ability of machines to interpret operating conditions and support increasingly autonomous decisions.
"AI tends to change not only how we use machines, but also the relationship between manufacturers, producers, and the entire agribusiness chain. The more quality data that is generated and integrated, the greater the ability to transform information into decisions and anticipate problems in the field," emphasizes Leandro Pires.
The symposium will conclude with the debate "Machines as a data platform: the new business model for agriculture," which will discuss the evolving role of agricultural equipment in value creation. The aim is to analyze how the integration of machines, connectivity, data, and services can create new business opportunities and modify traditional industry models.
For SAE Brazil, the debate gains relevance at a time when the competitiveness of agribusiness is increasingly associated with the ability to produce more and better, using fewer resources and making decisions based on information. "The future of agricultural mechanization will not be defined solely by the power or operational capacity of the machines. It will also be defined by the intelligence we manage to incorporate into them and by the ability to transform connectivity and data into results.
"This is the discussion we want to provoke at the symposium," concludes the regional director.
More information can be found on the official website (https://saebrasil.org.br/eventos/180-simposio-sae-brasil-de-maquinas-agricolas).
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