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

Artificial intelligence is expanding what is possible in agriculture, but industry leaders caution that solid data foundations are required before investing in AI solutions. Use cases look promising given volatile fertilizer prices, unpredictable weather, and thin profit margins. Research shows AI‑enabled predictive models can boost crop yields.

Summary written by Kernelia from the original article by MIT Technology Review. The story and its rights belong to its author.