Agriculture is ready for AI, but its data isn’t

Agricultural firms are increasingly exploring AI to manage volatile fertilizer costs and unpredictable climate conditions, but outdated data collection practices remain a significant barrier to implementation. While automated tools show potential for improving crop yields, their effectiveness depends on reliable, standardized datasets that many farms have yet to digitize. Industry experts warn that investing in advanced software will yield limited results until agricultural companies modernize their underlying information infrastructure.