Agri-tech: AI and Innovation in Crop Inputs
Interesting article from the CleanTech Group on how AI is revolutionizing the development of crop inputs, addressing the urgent need to nearly double food production by 2050 while overcoming challenges like pest resistance, environmental concerns, and geopolitical supply chain issues. Traditionally, discovering new pesticides, fertilizers, and bio stimulants has been costly and time-consuming, but AI is accelerating this process by rapidly analysing molecular data, scientific literature, and genomic libraries to identify new modes of action (MoAs) and active ingredients. AI-driven modelling enhances product optimization, shortens regulatory timelines, and reduces reliance on traditional trial-and-error experimentation. Industry leaders like Bayer, Syngenta, and Nufarm are investing in AI partnerships with start-ups such as Enko, Lavie Bio, and Moa Technology to fast-track innovation. As AI reshapes crop input development, it promises to create more sustainable, cost-effective, and resilient solutions, ensuring long-term global food security while minimizing environmental impact.
Read the full article here at the CleanTech Group: AI is About to Massively Accelerate Innovation in Crop Inputs | Cleantech Group
Do you find the same issues in Tayside? How do you think AI could help agri-tech in Scotland?
Below is the CleanTech Group’s report on Agriculture & Food 2025 that you may find interesting.
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