Taranis introduces AG Assistant powered by AI
Taranis, active in crop intelligence, announces AI advancements in the ag sector with the introduction of its Ag Assistant™. A first for agriculture retailers and producers, Ag Assistant is powered by a generative AI model that integrates data sources from various modalities – including images, text and audio – and with an understanding of agronomy.
Taranis Ag Assistant provides field-specific insights and actionable recommendations to advisors and growers with accuracy, introducing a new approach to farm management for the age of AI.
Powering Ag Assistant is a GenAI model trained on agronomic data spanning several years of in-season crop intelligence gathered from fields across the continental U.S., in conjunction with additional sources of data such as weather maps, machinery data, university research reports and industry-specific product studies. The scope of this training dataset, curated and validated, endows this model with capabilities.
Data sources
According to Gershom Kutliroff, Taranis Chief Technology Officer, “Many factors contribute to the overall health and productivity of a field – weather conditions, the traits of the seed hybrid used, nutrients in the soil, the prevalence of weeds and the likelihood of herbicide-resistant strains, to name a few. It is a task for an agronomist to gather and analyze all of these disparate sources of data to formulate an effective recommendation on how best to treat problems and maximize yields. Ag Assistant retrieves the various data sources, analyzing how they fit together, and presenting the agronomist with a picture of what is happening in his fields, as well as the actions to take to remedy problems and maximize the fields’ productivity.”
Minton explains, “As an example, consider a scenario in which Ag Assistant identifies a widespread specific weed threat, indicating that the prescribed weed management program did not work. Rather than an agronomist spending hours and days during the growing season manually walking and scouting fields, reviewing seed hybrid information, weather history and forecast, herbicide label information, identified weed control, etc., Ag Assistant will generate a detailed, expert-level agronomy report to the agronomist that analyzes those factors and more to provide a targeted control recommendation for the specific field and farm in question.”
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