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AI has the potential to benefit humanity in many ways, particularly in agriculture. Three promising developments in agricultural AI are federated learning, pest and disease detection and forecasting prices. Federated learning is a technique that trains a machine learning algorithm on data from multiple parties without the parties having to reveal their data to each other, increasing privacy and reducing the risk of compromise. If farmers can be persuaded to share their data this way, they can contribute to a collaborative system that helps them make better decisions and meet their sustainability goals.