The agriculture industry has become a farmer of big data, as the proliferation of sensor technologies has brought a sea of information into every stage of the supply chain from crop to consumer. But while these sensors bring information and describe conditions that exist, they don’t yet produce insights to solve complex problems or predict how to achieve performance from given inputs. But one day, they might.
Machine learning, whereby computers learn from outcomes without being explicitly programmed and algorithms tease out patterns from vast reams of data, is a promising field of study with the potential to disrupt data rich industries like modern agriculture. As this technology improves and proliferates, machine learning will quickly advance farming from descriptive contexts to prescriptive and predictive ones, recommending (and automating) short and long-term actions that could change the face of farming. How and when will this transition take place?
At the 2017 Ag Innovation Showcase, machine learning will earn center stage as attendees hear through key notes, spotlight sessions, and showcase companies how the yoking of Big Data can herald a paradigm shift that disrupts the oldest of industries.
Whether indoors or out, from drones and satellites above to the invisible workings and modifications of genomes, AIS will provide a farm-centric context for machine learning advancements, making sense of data flows and preparing to revolutionize the next generation of farming. Topics like climate modeling, big data and patterns of traceability to consumers, and soil health will be featured on stage, addressed by the likes of next generation family farmers on-boarding new technology to remain competitive, entrepreneurs with innovations, to R&D efforts from global agribusiness to make sense of stacks of data, increase disease detection, and offer financial predictions.
Join us at the 2017 Ag Innovation Showcase in St. Louis September 11-13 to learn more about how data may be the most profitable harvest from the farms of the future.