This document discusses the use of artificial intelligence in agriculture. It notes that the global population is expected to double by 2050, requiring a 70% increase in food production. AI can help address this challenge through automated farming activities, pest and disease monitoring, crop quality management, and factor monitoring. Examples provided include automated irrigation systems, remote crop health monitoring using hyperspectral imaging, AI-assisted harvesting of vine crops, early warning systems for fruit fly outbreaks, decision support systems using machine learning, driverless tractors, and robotic weed removal. The document concludes that AI can optimize resource use and efficiency to help solve resource and labor scarcity issues in agriculture.