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

Source: MIT Technology Review

Author: Carole Hill, Manish Sood

Artificial intelligence is transforming what is possible in agriculture, but industry leaders should be wary of investing in AI without first laying the groundwork.  The use cases are promising, especially for an industry navigating volatile fertilizer costs,…

Agricultural AI also needs to understand more than just customer attributes; it needs to understand the land: GPS coordinates, farm boundaries, field blocks, and soil variation across a single proper… [+2415 chars]