Company uses IBM's weather forecast to guide agricultural machines

The algorithms and artificial intelligence of the Brazilian tech company Solinftec will get help from IBM's weather forecast system to guide 36,000 agricultural machines operating in 9 million hectares around 11 countries, including 6.5 million hectares cultivated with sugarcane in Brazil.

According to Daniel Padrão, director of operations at Solinftec, IBM's system will not only make real-time crop monitoring more accurate, but also provide short-term weather forecasts. In Brazil, the company already had sensors on farms, meteorological stations and pluviometers to check climatic data during operations and make momentary adaptations to machinery. However, it did not yet have a climate tool for planning work.

IBM's short-term climate forecast should now help with an agenda of field activities that includes soil preparation, application of pesticides, harvesting and even logistics. Testing in Brazil started two years ago.

The application of pesticides is an example of how the producer can reduce costs and environmental impact, says Mr. Padrão. "The machine may be calibrated, working well, at the right speed, but, if there is wind, the applied input may land on the neighboring farm, in a forest. It is an...

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