Farmers Business Network and Google aim to enhance agricultural AI tools, linking agronomy with commercial operations for better decision-making.
Farmers Business Network (FBN) has partnered with Google’s AI Futures Fund (AIFF) to develop an “AI context engine” tailored for the agriculture sector. This engine is designed to provide farmers with an up-to-date and comprehensive overview covering agronomy, finances, machinery, and market dynamics, enabling AI tools to offer more relevant advice about overall farm management.
The partnership affords FBN early access to Google's advanced model capabilities, which will be tested against the diverse challenges farmers face in everyday operations. Currently, many AI tools available to farmers tend to provide general advice, lacking the personalization needed for specific conditions like soil types, crop varieties, local geography, and weather influences.
“You can take your precision data and input it into an existing model to generate insightful agronomic conclusions,” stated FBN co-founder Charles Baron in an interview. “Yet, there’s a disconnect when it comes to implementing commercial activities; these tools don’t integrate well with each other or assist farmers in actionable decision-making.”
Bridging the Gap Between Agronomy and Commerce
FBN is leveraging its extensive experience, which spans over a decade, to address this gap. Initially created as a platform for farmers to share pricing and seed selection data, FBN has evolved into a comprehensive marketplace encompassing input supplies, financing solutions, grain trading, and participation in premium sustainability programs.
Baron elaborates, “With the advent of AI, we now have the opportunity to seamlessly connect various experiences, facilitating commerce that originates from these insights. Farmers can analyze their agronomic strategies, while AI can assist in recommending products and guiding purchasing decisions instantly.”
Farming presents unique challenges for AI applications. Variables such as weather, soil characteristics, and crop rotation histories significantly influence farmer decisions. For AI to be effective, it must aggregate data from a wide spectrum of sources, normalize it, and translate it into concrete actions. According to Baron, this integration is essential for creating a system that farmers can trust and rely on.
Some farms are already venturing into AI independently. “There’s a significant surge in farms pursuing creative, tailored solutions to obtain insights relevant to their operations,” he noted. “However, the challenge remains in blending these highly personalized insights with a reliable commercial framework.”
Introduction of Norm AI Advisor
While the partnership with Google AIFF has recently been formalized, it is built on a longstanding relationship, with previous backing from Google Ventures for FBN. This collaboration aims to develop what they refer to as “agriculture’s first AI Context Engine for farmers.” This engine will power Norm, FBN’s AI advisor that debuted in 2023.
Norm operates as the AI backbone of the FBN experience, routing tasks through multiple models to enhance operational efficiency. Baron explains, “We’ll have the ability to evaluate the most sophisticated models against one another and participate in their co-development, ensuring they are as effective as possible for farmers.” This capability will help FBN remain at the forefront of advancements emerging from Google’s technology labs.
Looking ahead, the AI context engine will also allow third-party developers to build applications on top of its framework, paving the way for enriched functionalities in the future.
Data Privacy and Ownership Considerations
A critical aspect of this partnership is data privacy and ownership. Baron reassures farmers that their data will not be shared with Google. “FBN is developing the platform and continues to act as the custodian of individual farmers’ information,” he emphasized. FBN’s data policy remains stringent; individual farm data is kept confidential, insights are displayed only in aggregate form, and there’s a strict prohibition against selling personal information. Users can opt-in to share verified practice data for sustainability contracts, potentially earning premiums in return.
FBN previously showcased the concept of the AI context engine during its Farmer to Farmer event last year. Currently, some initial, personalized features powered by Norm are being rolled out to early test users, with a broader launch anticipated in the fall.
This collaboration marks a significant advance towards creating a more integrated approach to agricultural advice and action, potentially transforming how farmers make decisions and interact with their business ecosystems.
