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How AI Can Support Agricultural Innovation Adoption

Posted October 23, 2024 | Technology |
How AI Can Support Agricultural Innovation & Tech Adoption

Changes in agriculture, farming, and food production/security are needed (see Figure 1). Advancements in agricultural technologies (agri-tech) will be key to addressing the challenges faced by farmers and our world. Not surprisingly, agri-tech has been booming over the past decade, attracting significant investment from venture capitalists and outpacing investments in many other sectors.

Figure 1. Factors driving the innovation agenda in farming (source: Arthur D. Little)
Figure 1. Factors driving the innovation agenda in farming (source: Arthur D. Little)

Farmers, commodities suppliers, investors, and governments are well aware of the need for innovation to support more sustainable practices and protect scarce resources. However, due to the complexity and individuality of farming systems, knowing what tech to invest in and under what circumstances (not to mention how to realize benefits) is a significant challenge.

Each farm has unique geographies, landscapes, climates, soils, crops, and land-use histories.
There are multiple factors at play when considering how to maximize crop quality and yields and the many factors that will affect them going forward. When you add variables like climate change, regulations, geopolitics, financing, and rapid rates of technology innovation, decision makers find themselves facing an overwhelming amount of information that limits their ability to make optimal decisions for themselves, society, and the planet in terms of where to innovate and what to adopt.

This decision paralysis limits innovation investments, particularly in areas where technologies are rapidly evolving. (“Should I commit now to a solution that may become obsolete or delay the adoption decision in the expectation of future solutions being better value for my money?”)

Recent rapid advances in AI are producing tools that can help, starting with decisions about where to innovate and what to adopt. These tools can also provide information on the broader direction of relevant emerging technologies, informing adopt-now versus adopt-later decisions. Figure 2 shows how AI tools can support innovation decisions.

Figure 2. How AI can facilitate agri-tech innovation adoption (source: Arthur D. Little, UK Agri-Tech Centre)
Figure 2. How AI can facilitate agri-tech innovation adoption (source: Arthur D. Little, UK Agri-Tech Centre)

[For more from the authors on this topic, see: “AI Can Help Farmers Meet the Innovation Adoption Challenge.”]

About The Author
Philip Webster
Philip Webster is a Principal in the Technology & Innovation Management practice of Arthur D. Little (ADL). He has worked internationally across the healthcare, life sciences, food, agriculture, and chemicals sectors. Mr. Webster’s work focuses on helping businesses set innovation strategy and identify new growth opportunities underpinned by effective science and technology. He also works with the corporate innovation centers and quality… Read More
Habib Hussein
Habib Hussein is a Principal at Arthur D. Little, London, and a member of its Innovation Practice. He is an expert in end-to-end delivery of breakthough products and services from strategy to design, production, and launch. Dr. Hussein has a background in industrial design, sustainability, and applied materials science. He can be reached at experts@cutter.com.
Kajetan Widomski
Kajetan Widomski is a Consultant at Arthur D. Little, London, and a member of its Innovation Practice. He focuses on innovation strategy and technology landscaping, delivering projects on water management across the food and beverages industry. Mr. Widomski has a background in civil engineering. He can be reached at experts@cutter.com.
Jonathan Jeyaratnam
Jonathan Jeyaratnam is a Business Analyst at Arthur D. Little, London, and a member of its Innovation Practice. He has a background in chemistry, mathematics, and government policy. Mr. Jeyaratnam can be reached at experts@cutter.com.
Ruth Bastow
Ruth Bastow is Innovation Director at the UK Agri-Tech Centre with a distinguished career in plant biology, science strategy, policy, and communications. Her work is pivotal in advancing sustainable agricultural practices and fostering innovation to meet global challenges. Dr. Bastow earned a PhD in plant biology and has contributed to crop science research both nationally and internationally before transitioning from the bench to strategic… Read More
Mark Matthews
Mark Matthews is Special Advisor for Foresight and Impact at the UK Agri-Tech Centre. He has a background in science and innovation policy, in both academia and consulting, as well as policy think-tank experience. Dr. Matthews is also Visiting Professor at the University of Coventry and Associate (Senior Research Fellow) at RAND Europe. He can be reached at Mark.Matthews@ukagritechcentre.com.