In agriculture, artificial intelligence, connected to IoT sensors (which connect objects to the Internet), supports farmers in identifying areas in need of irrigation by monitoring temperature, moisture or soil conditions such as nutrient levels; the data collected also provides useful indications for fertilization or pesticide treatments and helps the farmer to maintain optimal conditions for crops, thus leading to increased yields.

Agronomists use artificial intelligence to conduct research and optimize agricultural resources and production. Artificial intelligence is also used to predict the ripening time of crops, monitor soil moisture, operate agricultural robots, conduct predictive analysis, automate greenhouses, detect diseases and pests, and save water. There are automated machines such as tractors and harvesters that can operate autonomously, reducing human labor.