Predictive analytics and enhanced farm and crop management systems within an agroecological framework ensure crop quality and supply. Farmers should use the advantage of big data, AI, and ML technologies to predict prices, determine the health of the environment, and compute agricultural output and yield. The best crop kinds to plant for maximum profit, the optimal environmental conditions, the need for agricultural inputs (such as fertilizers, supplemental feed, etc.), and farming economics are all things it may advise farmers on. Since AI can optimize resource utilization and improve overall farm efficiency with exact awareness of limitations, difficulties, and driving forces, it will be a powerful tool that can assist organizations in navigating the increasing complexity of modern agriculture. In order to create a mobile application called EcoFarm, WorldFish and the University of Engineering and Management (UEM) have collaborated to use AI/ML technology.