Cyber security Ĭyber security companies are adopting neural networks, machine learning, and natural language processing to improve their systems.

AI has been used to predict the ripening time for crops such as tomatoes, monitor soil moisture, operate agricultural robots, conduct predictive analytics, classify livestock pig call emotions, automate greenhouses, detect diseases and pests, and save water. Agronomists use AI to conduct research and development.

In agriculture, AI has helped farmers identify areas that need irrigation, fertilization, pesticide treatments or increasing yield. See also: Precision agriculture and Digital agriculture