IBM and Solinftec, the market-leading agricultural platform, are bringing new precision solutions to agriculture worldwide. IBM’s unparalleled climate-based insights are now being combined with Solinftec’s sophisticated algorithms and artificial intelligence to provide real-time decision-making solutions for agriculture.
Through this partnership, Solinftec uses local weather data and forecasts from The Weather Company, an IBM company, to provide digital agricultural solutions that enhance operational efficiency, input use, and agricultural compliance, ultimately reducing environmental impacts.
“IBM is a world-renowned leader in artificial intelligence in many industries,” says Britaldo Hernandez, CEO and founder of Solinftec. “We are rapidly building partnerships in the Americas with industry experts such as IBM to provide solutions that have a significant impact on global agriculture.”
Daniel Padrão, Solinftec’s chief operating officer said,”Accurate weather data is crucial on the farm, not only for operational excellence but for better managing the insums and increasing productivity. We’re leveraging IBM’s unique insights to provide farmers and retailers with the climate-based information they need.”
Solinftec combines real-time agronomy, machinery and weather data to power algorithms and drive operational excellence and compliance. “Solinftec users in Brazil, for example, saw an increase in the efficiency of their operations by up to 40%,” complements Padrão.
“IBM and Solinftec are companies committed to supporting their customers to achieve operational efficiency, resource optimization and better results. This is a key partnership for IBM and we are working together to explore new technologies that can expand Solinftec’s capabilities, delivering more valuable data to its customers and more accurate business insights,” adds Jose Luis Spagnuolo, IBM’s Global Director for Client Software Technical Architects.
“Consumers and businesses around the world are increasingly focused on sustainability issues. IBM is ready to provide large-scale quality and high-precision data to support companies that focus on increasing operational efficiency and optimizing their customers’ resources,” borges said.