Machine learning (ML) and artificial intelligence (AI) are rapidly transforming agriculture by providing data-driven solutions for crop and livestock management, precision agriculture, and supply chain management. ML algorithms can analyze vast amounts of data from various sources such as sensors, drones, and satellite imagery to provide insights that can help farmers optimize resource use, improve crop yields and quality, monitor livestock health, and predict disease outbreaks. AI can also help farmers and food processors track the movement of products from farm to table, optimize logistics, and ensure food safety. Overall, ML and AI in agriculture are contributing to increased productivity, reduced costs, improved sustainability, and better food security for the growing global population.