COURSE OVERVIEW

This practical and highly-interactive course includes real-life case studies and exercises where participants will be engaged in a series of interactive small groups and class workshops. 

 

This course is designed to provide participants with a detailed and up-to-date overview of Artificial Intelligence in AI in Fertilizer Manufacturing. It covers the artificial intelligence and its role in fertilizer manufacturing processes; the AI for raw material optimization, ammonia and urea production, process control and automation; the AI-driven optimization of granulation processes, machine learning for predicting granule size distribution, AI-powered monitoring of pellet hardness and stability and AI-assisted process control for consistent fertilizer granule quality; the AI for predictive maintenance of fertilizer plant equipment; and the AI for heat exchanger and boiler efficiency optimization. 

 

Further, the course will also discuss the AI in chemical reactor performance monitoring, pump and compressor health monitoring and pipeline and storage tank monitoring; the AI for fertilizer chemical formulation optimization, nitrogen, phosphate and potash fertilizer processing; the AI-driven optimization of coated fertilizer formulations and machine learning for predicting nutrient release rates; the AI-powered quality control for coated fertilizer granules; and the AI-assisted process monitoring for controlled release fertilizers. 

 

During this interactive course, participants will learn the AI for fertilizer drying and cooling optimization, energy efficiency in fertilizer manufacturing and fertilizer plant safety and risk management; the AI for environmental compliance and emission monitoring and AI-powered digital twin technology for fertilizer plants; the AI in advanced control systems and process automation, smart fertilizer manufacturing and AI-driven decision making; the future AI trends in fertilizer manufacturing; and the AI for AI-driven predictive analytics in fertilizer production including reducing operational costs and increasing efficiency.