Farmers have always collected and evaluated a large amount of data with each growing season: seeds planted, inputs applied, crops harvested, etc. The rise of data science with digital technologies provides farmers with a wealth of new data. Remote sensors, satellites, and unmanned aerial vehicles (commonly referred to as “drones”) can monitor plant health, soil conditions, temperature, nitrogen utilization, and much more around the clock. Artificial intelligence (AI) tools analyze this data at high speeds and funnel it back to farmers in the form of useful insights, helping them make critical, timely, in-field decisions.
At Bayer, we use AI and machine learning to help farmers achieve better harvests. We also use data science to accelerate our research & development process, creating efficiencies in production, operations and supply chain, and improving customer experience.
Digital farming is at the forefront of modern agriculture and many farmers and scientists are using innovative tools to measure and analyze the elements that affect farming—including environmental conditions, seed genetics, and the presence of pests. In the future, this technology and data will continue to enhance farmer efficiency by further enabling them to monitor each plot of land and determine the precise inputs needed for their crops to thrive.