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The agricultural technology sector is experiencing strong growth, and SaveFarm, an intelligent selective spraying system, is expanding its presence across Brazil while eyeing new international markets. The company aims to strengthen its footprint throughout Latin America and close 2025 with more than 10,000 sensors in operation.
Emerging technologies are redefining production in the field. Increasingly, autonomous and connected equipment are becoming part of farms, driving the rise of digital agriculture. According to data from Mordor Intelligence, the global precision agriculture market, valued at US$13.11 billion in 2024, is expected to grow by 12.7% by 2029, reaching approximately US$23.84 billion.
Among the innovations leading this transformation is selective spraying — a technology that has gained ground with SaveFarm, developed by Eirene Solutions, a company based in southern Brazil. Using advanced Artificial Intelligence (AI) algorithms capable of accurately identifying weeds, the system optimizes spraying across different crops through sensors that perform high-resolution image analysis in real time.
Currently, the SaveFarm® system is already part of daily operations in more than 200 farms across Brazil, Paraguay, Uruguay, and Argentina. The expansion plan foresees reaching all of Latin America in the coming months, with over 300 systems installed and 10,000 sensors in operation by the end of 2025.
“We are present in all major agricultural regions of Brazil and are market leaders in our segment, with 1.5 million hectares monitored. With 100% national technology designed for real field conditions, our sensors offer millimetric precision, controlling weeds even among fully developed crops. It’s a high-performance operation that generates millions in savings for producers, reducing herbicide use by up to 95%,” says Eduardo Marckmann, CEO of Eirene Solutions.
With a new generation of algorithms, SaveFarm expands its capabilities and takes selective spraying precision to a new level. The main innovation lies in the advanced integration with AI, which allows for soil mapping, recognition of plant morphology, and the identification of weeds among mature crops — the so-called “green-on-green” application.
“This new generation of algorithms takes precision agriculture to another level. With greater image processing capacity and refined decision-making, we can make spraying more accurate, sustainable, and cost-effective,” Marckmann explains.
Thanks to embedded AI, the system operates in both established crops and crop residues, analyzing 27 million pixels per second and processing up to 3.3 million images per hour — entirely offline, with no need for internet or external connection. This processing speed allows spraying at up to 25 km/h, providing full control over input usage.
“We continuously strive to enhance our technology, providing producers with a robust, intuitive, and adaptable tool that can be used at different stages of the agricultural calendar,” concludes Marckmann.
