Abstract: An automated agricultural management system collects agronomic, financial, and related operational data for a plantation, collects workflows comprised of a plurality of tasks, and makes use of artificial intelligence including generative artificial intelligence to recommend changes in workflow based on determining that financial benefits outweigh the costs of changing workflow. The agricultural management system demonstrates that changes from legacy to green agronomic practices result in financial benefit thereby creating an economic incentive to change. The agricultural management includes a user interface that propagates information about changes to workers and stakeholders alike and features an alert system to change workflow where emergency situations arise. The agricultural management system provides a simulator to make projections of plantation performance against the market.