A greenhouse automation system can’t afford to make mistakes, because losing control of a single crop is prohibitively expensive.

Good data—and lots of it—is key to making artificial intelligence/machine learning (AI/ML) production, inspection and packaging systems work without a hitch, plus well written algorithms to analyze the data and make decisions that will help people and machines function more intelligently.

Technology companies are employing AI/ML techniques to deter nefarious actors, but users still need to exercise common sense in defending their industrial control systems.

Machine builder install smarts in its machines to improve performance and reliability for food industry users.