Bayer pilots unique generative AI tool for agriculture

• Expert generative AI system has been trained by Bayer agronomists and proprietary data to benefit farmers, agronomic advisors, and other industry users
• Bayer AgPowered Services bring capabilities to support regulatory and sustainability reporting and now include a global weather dataset that spans the last 40 years

SAN FRANCISCO, March 14, 2024 /PRNewswire/ -- Bayer today announced the pilot of an expert GenAI system to benefit farmers and up-level agronomists in their daily work. The company has been using proprietary agronomic data to train a large language model (LLM) with years of internal data, insights from thousands of trials within its vast testing network, and centuries of aggregated experience from Bayer agronomists around the world.

The result is an expert system that quickly and accurately answers questions related to agronomy, farm management, and Bayer agricultural products. Instead of a time-consuming process, the intuitive system responds to natural language and can generate expert information within seconds. Validated by agronomists, the pilot is already unlocking productivity for Bayer teams in the United States while significantly outperforming out-of-the-box LLMs currently serving the agricultural market.  

The future benefit in comparison to today's reality: A farmer asks their agronomic advisor a series of detailed questions about a product's characteristics, performance under specific conditions, and application rates. Today, the advisor searches online materials, sends text messages to colleagues, gathers information from multiple sources, and puts together a response, all while the farmer waits hours or days for urgently needed information. Bayer's expert GenAI system is changing the game, making better information more quickly and readily available.

"Our unique GenAI system has the potential serve agronomists and benefit farmers all over the world, further advancing AI as an indispensable technology for agriculture," said Amanda McClerren, CIO and Head of Digital Transformation & Information Technology for Bayer's Crop Science division. "We'll continue to use traditional AI to develop better products, and we're also committed to harnessing new GenAI technology in a thoughtful way that augments and supports knowledgeable experts across the industry, bringing value to farmers and those who serve them."

Developed in collaboration with Microsoft as leading technology partner and Ernst & Young (EY) as an industry partner, Bayer is exploring ways to integrate the expert GenAI system into its digital offerings, and the company anticipates broad opportunities for collaboration with other agricultural offerings and partners. Designed as a global capability, the tool will benefit millions of smallholder farmers in the future by democratizing access to agronomic advice and product information critical to feeding communities and improving global food security.

"AI and automation are helping farms of all sizes produce more while using fewer natural resources, and we're starting to see how they can enhance decision-making on almost any plot of land," said Ranveer Chandra, Managing Director, Research for Industry & CTO, Agri-Food at Microsoft. "With Bayer's strengths in data science, digital, and especially agronomic expertise, we're pleased to be contributing to an expert system that will make agronomic understanding more accessible and empower those responsible for feeding the planet."

Bayer aims to expand the pilot of the expert GenAI system to selected agronomists and potentially farmers as early as this year, while continuing to advance a separate GenAI prototype allowing users to directly query their own farm data. Because they also pull insights from closed data sets, these GenAI tools are unique for agriculture and will bring more meaningful value to farmers, agronomists and other industry users, compared to out-of-the-box LLMs that only use open-source data.

Advancing solutions to enable the 'cloud-connected acre'

In addition to collaborating with Microsoft on the expert GenAI system, Bayer announced an update late last year on the companies' strategic partnership to bring readymade capabilities, AgPowered Services, to the agri-food industry.

Making available a capability that was previously for internal use only, Bayer^® Historical Weather brings a comprehensive weather dataset to Azure Data Manager for Agriculture that spans the last 40 years and provides detailed, field-level weather insights across global agricultural regions. Integrating tools from IBM, including from the IBM Environmental Intelligence Suite, the new capability can inform weather risk assessments and actuary processes. It will also be used by Bayer and now others to forecast crop seasonality and production changes year over year, as well as train agronomic models.

Building on the commitment to provide machine data connectivity with leading original equipment manufacturers (OEMs), Bayer is developing a connector that enables access to irrigation data from Lindsay Corporation, an industry-leading irrigation solution provider. This expands the data types available to Azure Data Manager's enterprise customers, making it possible for them to connect to irrigation data in the same seamless fashion as weather, imagery, OEM data, and other data types. For technology providers, it brings down the cost of technical investment required to develop these tools. For farmers, it accelerates the development of digital tools that can help them monitor, measure, and control water usage in their fields.

The new cloud offerings will also support regulatory and sustainability reporting. For example, capabilities that provide supply chain traceability can help ensure compliance with new laws like the EU Deforestation Regulation, which is expected to go into effect at the end of 2024. Bayer^® Smart Boundary ID uses satellite imagery to detect the boundaries of a field, and automatically identifies the geographic area within a field where the seasonal farming activity took place. The solution can help commodity traders ensure regulatory compliance, as well as serve food companies and financial institutions who are looking to monitor growing progress.

"Whether you are a farmer using digital tools or a company that operates downstream, you need technologies that can help your business adapt to a changing landscape. With our AgPowered Services, we are making access to digital tools easy and convenient, benefiting the industry and driving innovation," said Jeremy Williams, Head of Digital Farming for Bayer's Crop Science division. "There is both a tremendous opportunity and a pressing need for digital technology to better serve farmers and the industry, and we aim to achieve this by enabling the cloud-connected acre."

Under industry preview, the cloud offerings from Bayer and Microsoft will make it possible for organizations to access readymade capabilities and build on top of a robust digital infrastructure, instead of developing from scratch. This reduces time to market for new capabilities, delivering increased opportunities for farmers and value chain customers.

About Bayer
Bayer is a global enterprise with core competencies in the life science fields of health care and nutrition. In line with its mission, "Health for all, Hunger for none," the company's products and services are designed to help people and the planet thrive by supporting efforts to master the major challenges presented by a growing and aging global population. Bayer is committed to driving sustainable development and generating a positive impact with its businesses. At the same time, the Group aims to increase its earning power and create value through innovation and growth. The Bayer brand stands for trust, reliability and quality throughout the world. In fiscal 2023, the Group employed around 100,000 people and had sales of 47.6 billion euros. R&D expenses before special items amounted to 5.8 billion euros. For more information, go to www.bayer.com.

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Forward-Looking Statements
This release may contain forward-looking statements based on current assumptions and forecasts made by Bayer management. Various known and unknown risks, uncertainties and other factors could lead to material differences between the actual future results, financial situation, development or performance of the company and the estimates given here. These factors include those discussed in Bayer's public reports which are available on the Bayer website at www.bayer.com. The company assumes no liability whatsoever to update these forward-looking statements or to conform them to future events or developments.

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